Best Data Warehouse Solutions for Small Business

Shalaka Joshi
SJ
Researched and written by Shalaka Joshi

Products classified in the overall Data Warehouse category are similar in many regards and help companies of all sizes solve their business problems. However, small business features, pricing, setup, and installation differ from businesses of other sizes, which is why we match buyers to the right Small Business Data Warehouse to fit their needs. Compare product ratings based on reviews from enterprise users or connect with one of G2's buying advisors to find the right solutions within the Small Business Data Warehouse category.

In addition to qualifying for inclusion in the Data Warehouse Solutions category, to qualify for inclusion in the Small Business Data Warehouse Solutions category, a product must have at least 10 reviews left by a reviewer from a small business.

G2 takes pride in showing unbiased reviews on user satisfaction in our ratings and reports. We do not allow paid placements in any of our ratings, rankings, or reports. Learn about our scoring methodologies.

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14 Listings in Small Business Data Warehouse Available

(1,143)4.5 out of 5
3rd Easiest To Use in Data Warehouse software
View top Consulting Services for Google Cloud BigQuery
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Entry Level Price:Free
  • Overview
    Expand/Collapse Overview
  • Product Description
    How are these determined?Information
    This description is provided by the seller.

    BigQuery is a fully managed, AI-ready data analytics platform that helps you maximize value from your data and is designed to be multi-engine, multi-format, and multi-cloud. Store 10 GiB of data and

    Users
    • Data Engineer
    • Data Analyst
    Industries
    • Information Technology and Services
    • Computer Software
    Market Segment
    • 37% Enterprise
    • 32% Mid-Market
  • Pros and Cons
    Expand/Collapse Pros and Cons
  • Google Cloud BigQuery Pros and Cons
    How are these determined?Information
    Pros and Cons are compiled from review feedback and grouped into themes to provide an easy-to-understand summary of user reviews.
    Pros
    Ease of Use
    288
    Fast Querying
    162
    Speed
    161
    Querying
    153
    Scalability
    137
    Cons
    Expensive
    135
    Query Issues
    127
    Learning Curve
    83
    Cost Management
    74
    Cost Issues
    73
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • Google Cloud BigQuery features and usability ratings that predict user satisfaction
    8.7
    Ease of Use
    Average: 8.7
    8.7
    Data Governance
    Average: 8.4
    9.0
    Data Security
    Average: 8.8
    9.1
    Scalability
    Average: 8.5
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Seller
    Google
    Company Website
    Year Founded
    1998
    HQ Location
    Mountain View, CA
    Twitter
    @google
    32,705,077 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    310,061 employees on LinkedIn®
Product Description
How are these determined?Information
This description is provided by the seller.

BigQuery is a fully managed, AI-ready data analytics platform that helps you maximize value from your data and is designed to be multi-engine, multi-format, and multi-cloud. Store 10 GiB of data and

Users
  • Data Engineer
  • Data Analyst
Industries
  • Information Technology and Services
  • Computer Software
Market Segment
  • 37% Enterprise
  • 32% Mid-Market
Google Cloud BigQuery Pros and Cons
How are these determined?Information
Pros and Cons are compiled from review feedback and grouped into themes to provide an easy-to-understand summary of user reviews.
Pros
Ease of Use
288
Fast Querying
162
Speed
161
Querying
153
Scalability
137
Cons
Expensive
135
Query Issues
127
Learning Curve
83
Cost Management
74
Cost Issues
73
Google Cloud BigQuery features and usability ratings that predict user satisfaction
8.7
Ease of Use
Average: 8.7
8.7
Data Governance
Average: 8.4
9.0
Data Security
Average: 8.8
9.1
Scalability
Average: 8.5
Seller Details
Seller
Google
Company Website
Year Founded
1998
HQ Location
Mountain View, CA
Twitter
@google
32,705,077 Twitter followers
LinkedIn® Page
www.linkedin.com
310,061 employees on LinkedIn®
(608)4.6 out of 5
Optimized for quick response
4th Easiest To Use in Data Warehouse software
View top Consulting Services for Databricks Data Intelligence Platform
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  • Overview
    Expand/Collapse Overview
  • Product Description
    How are these determined?Information
    This description is provided by the seller.

    Databricks is the Data and AI company. More than 10,000 organizations worldwide — including Block, Comcast, Conde Nast, Rivian, and Shell, and over 60% of the Fortune 500 — rely on the Databricks Data

    Users
    • Data Engineer
    • Data Scientist
    Industries
    • Information Technology and Services
    • Financial Services
    Market Segment
    • 47% Enterprise
    • 37% Mid-Market
  • Pros and Cons
    Expand/Collapse Pros and Cons
  • Databricks Data Intelligence Platform Pros and Cons
    How are these determined?Information
    Pros and Cons are compiled from review feedback and grouped into themes to provide an easy-to-understand summary of user reviews.
    Pros
    Ease of Use
    191
    Features
    183
    Integrations
    115
    Data Management
    100
    Easy Integrations
    98
    Cons
    Learning Curve
    58
    Steep Learning Curve
    55
    Expensive
    54
    Missing Features
    52
    Performance Issues
    39
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • Databricks Data Intelligence Platform features and usability ratings that predict user satisfaction
    8.9
    Ease of Use
    Average: 8.7
    8.8
    Data Governance
    Average: 8.4
    8.9
    Data Security
    Average: 8.8
    9.1
    Scalability
    Average: 8.5
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Company Website
    Year Founded
    1999
    HQ Location
    San Francisco, CA
    Twitter
    @databricks
    78,404 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    10,647 employees on LinkedIn®
Product Description
How are these determined?Information
This description is provided by the seller.

Databricks is the Data and AI company. More than 10,000 organizations worldwide — including Block, Comcast, Conde Nast, Rivian, and Shell, and over 60% of the Fortune 500 — rely on the Databricks Data

Users
  • Data Engineer
  • Data Scientist
Industries
  • Information Technology and Services
  • Financial Services
Market Segment
  • 47% Enterprise
  • 37% Mid-Market
Databricks Data Intelligence Platform Pros and Cons
How are these determined?Information
Pros and Cons are compiled from review feedback and grouped into themes to provide an easy-to-understand summary of user reviews.
Pros
Ease of Use
191
Features
183
Integrations
115
Data Management
100
Easy Integrations
98
Cons
Learning Curve
58
Steep Learning Curve
55
Expensive
54
Missing Features
52
Performance Issues
39
Databricks Data Intelligence Platform features and usability ratings that predict user satisfaction
8.9
Ease of Use
Average: 8.7
8.8
Data Governance
Average: 8.4
8.9
Data Security
Average: 8.8
9.1
Scalability
Average: 8.5
Seller Details
Company Website
Year Founded
1999
HQ Location
San Francisco, CA
Twitter
@databricks
78,404 Twitter followers
LinkedIn® Page
www.linkedin.com
10,647 employees on LinkedIn®

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(615)4.6 out of 5
Optimized for quick response
1st Easiest To Use in Data Warehouse software
View top Consulting Services for Snowflake
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Entry Level Price:$2 Compute/Hour
  • Overview
    Expand/Collapse Overview
  • Product Description
    How are these determined?Information
    This description is provided by the seller.

    Snowflake makes enterprise AI easy, efficient and trusted. Thousands of companies around the globe, including hundreds of the world’s largest, use Snowflake’s AI Data Cloud to share data, build applic

    Users
    • Data Engineer
    • Data Analyst
    Industries
    • Information Technology and Services
    • Computer Software
    Market Segment
    • 46% Enterprise
    • 41% Mid-Market
  • Pros and Cons
    Expand/Collapse Pros and Cons
  • Snowflake Pros and Cons
    How are these determined?Information
    Pros and Cons are compiled from review feedback and grouped into themes to provide an easy-to-understand summary of user reviews.
    Pros
    Ease of Use
    82
    Features
    48
    Scalability
    42
    Data Management
    40
    Integrations
    39
    Cons
    Expensive
    40
    Feature Limitations
    21
    Cost Management
    19
    Cost
    18
    Poor UI Design
    17
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • Snowflake features and usability ratings that predict user satisfaction
    9.0
    Ease of Use
    Average: 8.7
    8.8
    Data Governance
    Average: 8.4
    9.0
    Data Security
    Average: 8.8
    9.2
    Scalability
    Average: 8.5
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Company Website
    Year Founded
    2012
    HQ Location
    San Mateo, CA
    Twitter
    @SnowflakeDB
    53 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    9,352 employees on LinkedIn®
Product Description
How are these determined?Information
This description is provided by the seller.

Snowflake makes enterprise AI easy, efficient and trusted. Thousands of companies around the globe, including hundreds of the world’s largest, use Snowflake’s AI Data Cloud to share data, build applic

Users
  • Data Engineer
  • Data Analyst
Industries
  • Information Technology and Services
  • Computer Software
Market Segment
  • 46% Enterprise
  • 41% Mid-Market
Snowflake Pros and Cons
How are these determined?Information
Pros and Cons are compiled from review feedback and grouped into themes to provide an easy-to-understand summary of user reviews.
Pros
Ease of Use
82
Features
48
Scalability
42
Data Management
40
Integrations
39
Cons
Expensive
40
Feature Limitations
21
Cost Management
19
Cost
18
Poor UI Design
17
Snowflake features and usability ratings that predict user satisfaction
9.0
Ease of Use
Average: 8.7
8.8
Data Governance
Average: 8.4
9.0
Data Security
Average: 8.8
9.2
Scalability
Average: 8.5
Seller Details
Company Website
Year Founded
2012
HQ Location
San Mateo, CA
Twitter
@SnowflakeDB
53 Twitter followers
LinkedIn® Page
www.linkedin.com
9,352 employees on LinkedIn®
(401)4.3 out of 5
9th Easiest To Use in Data Warehouse software
View top Consulting Services for Amazon Redshift
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Entry Level Price:$1.22 - $3.26 Per hour
  • Overview
    Expand/Collapse Overview
  • Product Description
    How are these determined?Information
    This description is provided by the seller.

    Tens of thousands of customers use Amazon Redshift, a fast, fully managed, petabyte-scale data warehouse service that makes it simple and cost-effective to efficiently analyze all your data using your

    Users
    • Data Engineer
    • Senior Data Engineer
    Industries
    • Information Technology and Services
    • Computer Software
    Market Segment
    • 39% Enterprise
    • 37% Mid-Market
  • Pros and Cons
    Expand/Collapse Pros and Cons
  • Amazon Redshift Pros and Cons
    How are these determined?Information
    Pros and Cons are compiled from review feedback and grouped into themes to provide an easy-to-understand summary of user reviews.
    Pros
    Ease of Use
    10
    Fast Querying
    7
    Large Datasets
    7
    Speed
    7
    Fast Processing
    6
    Cons
    Slow Queries
    5
    Feature Limitations
    4
    Expensive
    3
    Query Issues
    3
    Complexity
    2
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • Amazon Redshift features and usability ratings that predict user satisfaction
    8.7
    Ease of Use
    Average: 8.7
    8.7
    Data Governance
    Average: 8.4
    8.8
    Data Security
    Average: 8.8
    8.9
    Scalability
    Average: 8.5
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Year Founded
    2006
    HQ Location
    Seattle, WA
    Twitter
    @awscloud
    2,228,524 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    143,150 employees on LinkedIn®
    Ownership
    NASDAQ: AMZN
Product Description
How are these determined?Information
This description is provided by the seller.

Tens of thousands of customers use Amazon Redshift, a fast, fully managed, petabyte-scale data warehouse service that makes it simple and cost-effective to efficiently analyze all your data using your

Users
  • Data Engineer
  • Senior Data Engineer
Industries
  • Information Technology and Services
  • Computer Software
Market Segment
  • 39% Enterprise
  • 37% Mid-Market
Amazon Redshift Pros and Cons
How are these determined?Information
Pros and Cons are compiled from review feedback and grouped into themes to provide an easy-to-understand summary of user reviews.
Pros
Ease of Use
10
Fast Querying
7
Large Datasets
7
Speed
7
Fast Processing
6
Cons
Slow Queries
5
Feature Limitations
4
Expensive
3
Query Issues
3
Complexity
2
Amazon Redshift features and usability ratings that predict user satisfaction
8.7
Ease of Use
Average: 8.7
8.7
Data Governance
Average: 8.4
8.8
Data Security
Average: 8.8
8.9
Scalability
Average: 8.5
Seller Details
Year Founded
2006
HQ Location
Seattle, WA
Twitter
@awscloud
2,228,524 Twitter followers
LinkedIn® Page
www.linkedin.com
143,150 employees on LinkedIn®
Ownership
NASDAQ: AMZN
(80)4.3 out of 5
10th Easiest To Use in Data Warehouse software
View top Consulting Services for SAP Datasphere
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  • Overview
    Expand/Collapse Overview
  • Product Description
    How are these determined?Information
    This description is provided by the seller.

    SAP Datasphere is a unified service for data integration, cataloging, semantic modeling, data warehousing, and virtualizing workloads across all your data. It enables every data professional to delive

    Users
    No information available
    Industries
    • Information Technology and Services
    • Computer Software
    Market Segment
    • 44% Mid-Market
    • 41% Enterprise
  • Pros and Cons
    Expand/Collapse Pros and Cons
  • SAP Datasphere Pros and Cons
    How are these determined?Information
    Pros and Cons are compiled from review feedback and grouped into themes to provide an easy-to-understand summary of user reviews.
    Pros
    Ease of Use
    29
    Data Management
    18
    Analytics
    14
    Easy Integrations
    13
    Data Integration
    10
    Cons
    Expensive
    15
    Integration Issues
    13
    Learning Curve
    10
    Complexity Issues
    5
    Complex Setup
    5
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • SAP Datasphere features and usability ratings that predict user satisfaction
    8.2
    Ease of Use
    Average: 8.7
    8.7
    Data Governance
    Average: 8.4
    8.8
    Data Security
    Average: 8.8
    8.6
    Scalability
    Average: 8.5
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Seller
    SAP
    Company Website
    Year Founded
    1972
    HQ Location
    Walldorf
    Twitter
    @SAP
    299,804 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    129,051 employees on LinkedIn®
Product Description
How are these determined?Information
This description is provided by the seller.

SAP Datasphere is a unified service for data integration, cataloging, semantic modeling, data warehousing, and virtualizing workloads across all your data. It enables every data professional to delive

Users
No information available
Industries
  • Information Technology and Services
  • Computer Software
Market Segment
  • 44% Mid-Market
  • 41% Enterprise
SAP Datasphere Pros and Cons
How are these determined?Information
Pros and Cons are compiled from review feedback and grouped into themes to provide an easy-to-understand summary of user reviews.
Pros
Ease of Use
29
Data Management
18
Analytics
14
Easy Integrations
13
Data Integration
10
Cons
Expensive
15
Integration Issues
13
Learning Curve
10
Complexity Issues
5
Complex Setup
5
SAP Datasphere features and usability ratings that predict user satisfaction
8.2
Ease of Use
Average: 8.7
8.7
Data Governance
Average: 8.4
8.8
Data Security
Average: 8.8
8.6
Scalability
Average: 8.5
Seller Details
Seller
SAP
Company Website
Year Founded
1972
HQ Location
Walldorf
Twitter
@SAP
299,804 Twitter followers
LinkedIn® Page
www.linkedin.com
129,051 employees on LinkedIn®
(34)5.0 out of 5
2nd Easiest To Use in Data Warehouse software
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Entry Level Price:Free
  • Overview
    Expand/Collapse Overview
  • Product Description
    How are these determined?Information
    This description is provided by the seller.

    Aden is an AI-native, multi-agent ERP platform built for operations leaders to unify their business systems, streamline processes, and efficiently manage objectives. Highly customizable and rapidly de

    Users
    No information available
    Industries
    • Information Technology and Services
    Market Segment
    • 68% Small-Business
    • 18% Mid-Market
  • Pros and Cons
    Expand/Collapse Pros and Cons
  • Aden Pros and Cons
    How are these determined?Information
    Pros and Cons are compiled from review feedback and grouped into themes to provide an easy-to-understand summary of user reviews.
    Pros
    Ease of Use
    8
    Easy Integrations
    4
    Analytics
    2
    Collaboration
    2
    Customer Support
    2
    Cons
    Difficult Setup
    1
    Integration Issues
    1
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • Aden features and usability ratings that predict user satisfaction
    9.7
    Ease of Use
    Average: 8.7
    9.5
    Data Governance
    Average: 8.4
    9.3
    Data Security
    Average: 8.8
    9.4
    Scalability
    Average: 8.5
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Seller
    Acho
    Year Founded
    2020
    HQ Location
    Boston, MA
    Twitter
    @acho
    35 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    17 employees on LinkedIn®
Product Description
How are these determined?Information
This description is provided by the seller.

Aden is an AI-native, multi-agent ERP platform built for operations leaders to unify their business systems, streamline processes, and efficiently manage objectives. Highly customizable and rapidly de

Users
No information available
Industries
  • Information Technology and Services
Market Segment
  • 68% Small-Business
  • 18% Mid-Market
Aden Pros and Cons
How are these determined?Information
Pros and Cons are compiled from review feedback and grouped into themes to provide an easy-to-understand summary of user reviews.
Pros
Ease of Use
8
Easy Integrations
4
Analytics
2
Collaboration
2
Customer Support
2
Cons
Difficult Setup
1
Integration Issues
1
Aden features and usability ratings that predict user satisfaction
9.7
Ease of Use
Average: 8.7
9.5
Data Governance
Average: 8.4
9.3
Data Security
Average: 8.8
9.4
Scalability
Average: 8.5
Seller Details
Seller
Acho
Year Founded
2020
HQ Location
Boston, MA
Twitter
@acho
35 Twitter followers
LinkedIn® Page
www.linkedin.com
17 employees on LinkedIn®
  • Overview
    Expand/Collapse Overview
  • Product Description
    How are these determined?Information
    This description is provided by the seller.

    Built to run the world’s mission-critical workloads. Designed by the world’s leading database experts, IBM Db2 empowers developers, enterprise architects, and data engineers to run low-latency tran

    Users
    • Senior Software Engineer
    • Software Engineer
    Industries
    • Information Technology and Services
    • Banking
    Market Segment
    • 67% Enterprise
    • 21% Mid-Market
  • Pros and Cons
    Expand/Collapse Pros and Cons
  • IBM Db2 Pros and Cons
    How are these determined?Information
    Pros and Cons are compiled from review feedback and grouped into themes to provide an easy-to-understand summary of user reviews.
    Pros
    Reliability
    13
    Performance
    12
    Security
    12
    Scalability
    9
    Ease of Use
    7
    Cons
    Performance Issues
    4
    Complexity
    3
    Expensive
    3
    Feature Limitations
    3
    Learning Curve
    3
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • IBM Db2 features and usability ratings that predict user satisfaction
    8.0
    Ease of Use
    Average: 8.7
    8.7
    Data Governance
    Average: 8.4
    9.1
    Data Security
    Average: 8.8
    8.6
    Scalability
    Average: 8.5
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Seller
    IBM
    Year Founded
    1911
    HQ Location
    Armonk, NY
    Twitter
    @IBM
    708,859 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    331,391 employees on LinkedIn®
    Ownership
    SWX:IBM
Product Description
How are these determined?Information
This description is provided by the seller.

Built to run the world’s mission-critical workloads. Designed by the world’s leading database experts, IBM Db2 empowers developers, enterprise architects, and data engineers to run low-latency tran

Users
  • Senior Software Engineer
  • Software Engineer
Industries
  • Information Technology and Services
  • Banking
Market Segment
  • 67% Enterprise
  • 21% Mid-Market
IBM Db2 Pros and Cons
How are these determined?Information
Pros and Cons are compiled from review feedback and grouped into themes to provide an easy-to-understand summary of user reviews.
Pros
Reliability
13
Performance
12
Security
12
Scalability
9
Ease of Use
7
Cons
Performance Issues
4
Complexity
3
Expensive
3
Feature Limitations
3
Learning Curve
3
IBM Db2 features and usability ratings that predict user satisfaction
8.0
Ease of Use
Average: 8.7
8.7
Data Governance
Average: 8.4
9.1
Data Security
Average: 8.8
8.6
Scalability
Average: 8.5
Seller Details
Seller
IBM
Year Founded
1911
HQ Location
Armonk, NY
Twitter
@IBM
708,859 Twitter followers
LinkedIn® Page
www.linkedin.com
331,391 employees on LinkedIn®
Ownership
SWX:IBM
Entry Level Price:Free
  • Overview
    Expand/Collapse Overview
  • Product Description
    How are these determined?Information
    This description is provided by the seller.

    Tembo is a multi-workload Postgres managed service that enables organizations to harness the full power of Postgres for transactional, analytical, and AI workloads. With robust SaaS and self hosted de

    Users
    No information available
    Industries
    • Computer Software
    Market Segment
    • 85% Small-Business
    • 15% Mid-Market
    User Sentiment
    How are these determined?Information
    These insights, currently in beta, are compiled from user reviews and grouped to display a high-level overview of the software.
    • Tembo is a software that allows users to manage their savings goals and Postgres databases using Mobile Money and Visa/Mastercard cards.
    • Users like the ease of use and implementation of Tembo, its intuitive user interface, the ability to organize tasks and deadlines in one place, and its support for team collaboration and variety of extensions and stacks.
    • Users experienced issues with Tembo's limited cloud provider options, specifically its restriction to AWS, laggy user interface on Safari, and the need for basic knowledge to utilize the platform, along with occasional difficulties in understanding the cost per month and connecting to the database.
  • Pros and Cons
    Expand/Collapse Pros and Cons
  • Tembo Pros and Cons
    How are these determined?Information
    Pros and Cons are compiled from review feedback and grouped into themes to provide an easy-to-understand summary of user reviews.
    Pros
    Ease of Use
    21
    Features
    14
    Data Storage
    10
    Integrations
    10
    Ease of Setup
    9
    Cons
    AWS Dependency
    5
    Expensive
    4
    Integration Issues
    4
    Limited Customization
    4
    Limited Flexibility
    4
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • Tembo features and usability ratings that predict user satisfaction
    9.4
    Ease of Use
    Average: 8.7
    9.6
    Data Governance
    Average: 8.4
    9.6
    Data Security
    Average: 8.8
    9.3
    Scalability
    Average: 8.5
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Seller
    Tembo
    Year Founded
    2022
    HQ Location
    Cincinnati, US
    Twitter
    @tembo_io
    3,640 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    33 employees on LinkedIn®
Product Description
How are these determined?Information
This description is provided by the seller.

Tembo is a multi-workload Postgres managed service that enables organizations to harness the full power of Postgres for transactional, analytical, and AI workloads. With robust SaaS and self hosted de

Users
No information available
Industries
  • Computer Software
Market Segment
  • 85% Small-Business
  • 15% Mid-Market
User Sentiment
How are these determined?Information
These insights, currently in beta, are compiled from user reviews and grouped to display a high-level overview of the software.
  • Tembo is a software that allows users to manage their savings goals and Postgres databases using Mobile Money and Visa/Mastercard cards.
  • Users like the ease of use and implementation of Tembo, its intuitive user interface, the ability to organize tasks and deadlines in one place, and its support for team collaboration and variety of extensions and stacks.
  • Users experienced issues with Tembo's limited cloud provider options, specifically its restriction to AWS, laggy user interface on Safari, and the need for basic knowledge to utilize the platform, along with occasional difficulties in understanding the cost per month and connecting to the database.
Tembo Pros and Cons
How are these determined?Information
Pros and Cons are compiled from review feedback and grouped into themes to provide an easy-to-understand summary of user reviews.
Pros
Ease of Use
21
Features
14
Data Storage
10
Integrations
10
Ease of Setup
9
Cons
AWS Dependency
5
Expensive
4
Integration Issues
4
Limited Customization
4
Limited Flexibility
4
Tembo features and usability ratings that predict user satisfaction
9.4
Ease of Use
Average: 8.7
9.6
Data Governance
Average: 8.4
9.6
Data Security
Average: 8.8
9.3
Scalability
Average: 8.5
Seller Details
Seller
Tembo
Year Founded
2022
HQ Location
Cincinnati, US
Twitter
@tembo_io
3,640 Twitter followers
LinkedIn® Page
www.linkedin.com
33 employees on LinkedIn®
(68)4.6 out of 5
Optimized for quick response
5th Easiest To Use in Data Warehouse software
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  • Overview
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  • Product Description
    How are these determined?Information
    This description is provided by the seller.

    Backed by award-winning data analyst support, Mozart Data is the fastest way to set up scalable, reliable data infrastructure that doesn’t need to be maintained by you. Mozart Data’s all-in-one modern

    Users
    No information available
    Industries
    • Computer Software
    • Financial Services
    Market Segment
    • 53% Small-Business
    • 47% Mid-Market
  • Pros and Cons
    Expand/Collapse Pros and Cons
  • Mozart Data Pros and Cons
    How are these determined?Information
    Pros and Cons are compiled from review feedback and grouped into themes to provide an easy-to-understand summary of user reviews.
    Pros
    Ease of Use
    4
    Customer Support
    2
    Easy Integrations
    2
    Easy Setup
    2
    Implementation Ease
    2
    Cons
    Confusing Changes
    1
    Confusing Usability
    1
    Difficult Learning
    1
    Integration Issues
    1
    Learning Curve
    1
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • Mozart Data features and usability ratings that predict user satisfaction
    9.3
    Ease of Use
    Average: 8.7
    8.2
    Data Governance
    Average: 8.4
    8.9
    Data Security
    Average: 8.8
    9.2
    Scalability
    Average: 8.5
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Company Website
    Year Founded
    2020
    HQ Location
    San Francisco, US
    Twitter
    @MozartData
    456 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    16 employees on LinkedIn®
Product Description
How are these determined?Information
This description is provided by the seller.

Backed by award-winning data analyst support, Mozart Data is the fastest way to set up scalable, reliable data infrastructure that doesn’t need to be maintained by you. Mozart Data’s all-in-one modern

Users
No information available
Industries
  • Computer Software
  • Financial Services
Market Segment
  • 53% Small-Business
  • 47% Mid-Market
Mozart Data Pros and Cons
How are these determined?Information
Pros and Cons are compiled from review feedback and grouped into themes to provide an easy-to-understand summary of user reviews.
Pros
Ease of Use
4
Customer Support
2
Easy Integrations
2
Easy Setup
2
Implementation Ease
2
Cons
Confusing Changes
1
Confusing Usability
1
Difficult Learning
1
Integration Issues
1
Learning Curve
1
Mozart Data features and usability ratings that predict user satisfaction
9.3
Ease of Use
Average: 8.7
8.2
Data Governance
Average: 8.4
8.9
Data Security
Average: 8.8
9.2
Scalability
Average: 8.5
Seller Details
Company Website
Year Founded
2020
HQ Location
San Francisco, US
Twitter
@MozartData
456 Twitter followers
LinkedIn® Page
www.linkedin.com
16 employees on LinkedIn®
(82)4.5 out of 5
15th Easiest To Use in Data Warehouse software
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15% off
  • Overview
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  • Product Description
    How are these determined?Information
    This description is provided by the seller.

    Panoply makes it easy to sync, store, and access your data from any data source. Panoply’s easy-to-use, low-maintenance solution unlocks sophisticated analytics without complex data engineering and co

    Users
    No information available
    Industries
    • Information Technology and Services
    • Computer Software
    Market Segment
    • 48% Small-Business
    • 43% Mid-Market
  • Pros and Cons
    Expand/Collapse Pros and Cons
  • Panoply Pros and Cons
    How are these determined?Information
    Pros and Cons are compiled from review feedback and grouped into themes to provide an easy-to-understand summary of user reviews.
    Pros
    Customer Support
    8
    Ease of Use
    8
    Connectors Quantity
    3
    Data Integration
    3
    Features
    3
    Cons
    Data Import
    2
    Data Management
    2
    Limited Connectors
    2
    Expertise Required
    1
    Integration Issues
    1
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • Panoply features and usability ratings that predict user satisfaction
    8.9
    Ease of Use
    Average: 8.7
    7.8
    Data Governance
    Average: 8.4
    8.7
    Data Security
    Average: 8.8
    8.1
    Scalability
    Average: 8.5
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Seller
    Panoply
    Year Founded
    2015
    HQ Location
    San Francisco, CA
    Twitter
    @panoplyio
    5,613 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    17 employees on LinkedIn®
Product Description
How are these determined?Information
This description is provided by the seller.

Panoply makes it easy to sync, store, and access your data from any data source. Panoply’s easy-to-use, low-maintenance solution unlocks sophisticated analytics without complex data engineering and co

Users
No information available
Industries
  • Information Technology and Services
  • Computer Software
Market Segment
  • 48% Small-Business
  • 43% Mid-Market
Panoply Pros and Cons
How are these determined?Information
Pros and Cons are compiled from review feedback and grouped into themes to provide an easy-to-understand summary of user reviews.
Pros
Customer Support
8
Ease of Use
8
Connectors Quantity
3
Data Integration
3
Features
3
Cons
Data Import
2
Data Management
2
Limited Connectors
2
Expertise Required
1
Integration Issues
1
Panoply features and usability ratings that predict user satisfaction
8.9
Ease of Use
Average: 8.7
7.8
Data Governance
Average: 8.4
8.7
Data Security
Average: 8.8
8.1
Scalability
Average: 8.5
Seller Details
Seller
Panoply
Year Founded
2015
HQ Location
San Francisco, CA
Twitter
@panoplyio
5,613 Twitter followers
LinkedIn® Page
www.linkedin.com
17 employees on LinkedIn®
(216)4.3 out of 5
13th Easiest To Use in Data Warehouse software
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Entry Level Price:Free
  • Overview
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  • Product Description
    How are these determined?Information
    This description is provided by the seller.

    Vertica is the unified analytics platform, based on a massively scalable architecture with a broad set of analytical functions spanning event and time series, pattern matching, geospatial, and built-i

    Users
    • Senior Software Engineer
    • Data Engineer
    Industries
    • Computer Software
    • Information Technology and Services
    Market Segment
    • 44% Enterprise
    • 39% Mid-Market
  • Pros and Cons
    Expand/Collapse Pros and Cons
  • OpenText Vertica Pros and Cons
    How are these determined?Information
    Pros and Cons are compiled from review feedback and grouped into themes to provide an easy-to-understand summary of user reviews.
    Pros
    Analytics
    13
    Ease of Use
    12
    Fast Processing
    12
    Performance
    11
    Features
    10
    Cons
    Expensive
    11
    Difficulty
    7
    Learning Curve
    6
    Complexity
    4
    Complex Setup
    4
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • OpenText Vertica features and usability ratings that predict user satisfaction
    8.5
    Ease of Use
    Average: 8.7
    8.3
    Data Governance
    Average: 8.4
    8.5
    Data Security
    Average: 8.8
    8.3
    Scalability
    Average: 8.5
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Seller
    OpenText
    Year Founded
    1991
    HQ Location
    Waterloo, ON
    Twitter
    @OpenText
    21,700 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    22,403 employees on LinkedIn®
    Ownership
    NASDAQ:OTEX
Product Description
How are these determined?Information
This description is provided by the seller.

Vertica is the unified analytics platform, based on a massively scalable architecture with a broad set of analytical functions spanning event and time series, pattern matching, geospatial, and built-i

Users
  • Senior Software Engineer
  • Data Engineer
Industries
  • Computer Software
  • Information Technology and Services
Market Segment
  • 44% Enterprise
  • 39% Mid-Market
OpenText Vertica Pros and Cons
How are these determined?Information
Pros and Cons are compiled from review feedback and grouped into themes to provide an easy-to-understand summary of user reviews.
Pros
Analytics
13
Ease of Use
12
Fast Processing
12
Performance
11
Features
10
Cons
Expensive
11
Difficulty
7
Learning Curve
6
Complexity
4
Complex Setup
4
OpenText Vertica features and usability ratings that predict user satisfaction
8.5
Ease of Use
Average: 8.7
8.3
Data Governance
Average: 8.4
8.5
Data Security
Average: 8.8
8.3
Scalability
Average: 8.5
Seller Details
Seller
OpenText
Year Founded
1991
HQ Location
Waterloo, ON
Twitter
@OpenText
21,700 Twitter followers
LinkedIn® Page
www.linkedin.com
22,403 employees on LinkedIn®
Ownership
NASDAQ:OTEX
(345)4.3 out of 5
8th Easiest To Use in Data Warehouse software
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  • Overview
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  • Product Description
    How are these determined?Information
    This description is provided by the seller.

    At Teradata, we believe that people thrive when empowered with better information. That’s why we built the most complete cloud analytics and data platform for AI. By delivering harmonized data, trust

    Users
    • Data Engineer
    • Software Engineer
    Industries
    • Information Technology and Services
    • Financial Services
    Market Segment
    • 70% Enterprise
    • 21% Mid-Market
    User Sentiment
    How are these determined?Information
    These insights, currently in beta, are compiled from user reviews and grouped to display a high-level overview of the software.
    • Teradata Vantage is a platform that supports complex data workloads at scale, allowing for large-scale data analysis from different sources and the development of business models.
    • Reviewers appreciate its ability to handle large volumes of data quickly, its stability for reliable and continuous operations, and its integration capabilities with multiple sources for comprehensive analysis.
    • Reviewers noted that some advanced features can be unintuitive and require a steep learning curve, the user interface feels outdated, and initial configuration or integration with cloud services can be complex.
  • Pros and Cons
    Expand/Collapse Pros and Cons
  • Teradata Vantage Pros and Cons
    How are these determined?Information
    Pros and Cons are compiled from review feedback and grouped into themes to provide an easy-to-understand summary of user reviews.
    Pros
    Ease of Use
    33
    Performance
    21
    Analytics
    18
    Integrations
    18
    Data Analytics
    17
    Cons
    Expensive
    15
    Complexity
    10
    Learning Curve
    10
    Poor User Interface
    9
    Poor Interface
    8
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • Teradata Vantage features and usability ratings that predict user satisfaction
    8.3
    Ease of Use
    Average: 8.7
    8.0
    Data Governance
    Average: 8.4
    8.2
    Data Security
    Average: 8.8
    8.5
    Scalability
    Average: 8.5
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Seller
    Teradata
    Company Website
    Year Founded
    1979
    HQ Location
    San Diego, CA
    Twitter
    @Teradata
    92,957 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    10,256 employees on LinkedIn®
Product Description
How are these determined?Information
This description is provided by the seller.

At Teradata, we believe that people thrive when empowered with better information. That’s why we built the most complete cloud analytics and data platform for AI. By delivering harmonized data, trust

Users
  • Data Engineer
  • Software Engineer
Industries
  • Information Technology and Services
  • Financial Services
Market Segment
  • 70% Enterprise
  • 21% Mid-Market
User Sentiment
How are these determined?Information
These insights, currently in beta, are compiled from user reviews and grouped to display a high-level overview of the software.
  • Teradata Vantage is a platform that supports complex data workloads at scale, allowing for large-scale data analysis from different sources and the development of business models.
  • Reviewers appreciate its ability to handle large volumes of data quickly, its stability for reliable and continuous operations, and its integration capabilities with multiple sources for comprehensive analysis.
  • Reviewers noted that some advanced features can be unintuitive and require a steep learning curve, the user interface feels outdated, and initial configuration or integration with cloud services can be complex.
Teradata Vantage Pros and Cons
How are these determined?Information
Pros and Cons are compiled from review feedback and grouped into themes to provide an easy-to-understand summary of user reviews.
Pros
Ease of Use
33
Performance
21
Analytics
18
Integrations
18
Data Analytics
17
Cons
Expensive
15
Complexity
10
Learning Curve
10
Poor User Interface
9
Poor Interface
8
Teradata Vantage features and usability ratings that predict user satisfaction
8.3
Ease of Use
Average: 8.7
8.0
Data Governance
Average: 8.4
8.2
Data Security
Average: 8.8
8.5
Scalability
Average: 8.5
Seller Details
Seller
Teradata
Company Website
Year Founded
1979
HQ Location
San Diego, CA
Twitter
@Teradata
92,957 Twitter followers
LinkedIn® Page
www.linkedin.com
10,256 employees on LinkedIn®
(82)4.5 out of 5
12th Easiest To Use in Data Warehouse software
View top Consulting Services for SQL Server 2019
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  • Overview
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  • Product Description
    How are these determined?Information
    This description is provided by the seller.

    Parallel Data Warehouse offers scalability to hundreds of terabytes and high performance through a massively parallel processing architecture.

    Users
    No information available
    Industries
    • Computer Software
    • Information Technology and Services
    Market Segment
    • 37% Mid-Market
    • 35% Enterprise
  • Pros and Cons
    Expand/Collapse Pros and Cons
  • SQL Server 2019 Pros and Cons
    How are these determined?Information
    Pros and Cons are compiled from review feedback and grouped into themes to provide an easy-to-understand summary of user reviews.
    Pros
    Ease of Use
    2
    Big Data Management
    1
    Data Handling
    1
    Data Integration
    1
    Easy Integrations
    1
    Cons
    Expensive
    2
    Data Import
    1
    Difficult Setup
    1
    Learning Curve
    1
    SQL Challenges
    1
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • SQL Server 2019 features and usability ratings that predict user satisfaction
    8.9
    Ease of Use
    Average: 8.7
    8.5
    Data Governance
    Average: 8.4
    9.0
    Data Security
    Average: 8.8
    8.8
    Scalability
    Average: 8.5
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Seller
    Microsoft
    Year Founded
    1975
    HQ Location
    Redmond, Washington
    Twitter
    @microsoft
    14,004,961 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    237,523 employees on LinkedIn®
    Ownership
    MSFT
Product Description
How are these determined?Information
This description is provided by the seller.

Parallel Data Warehouse offers scalability to hundreds of terabytes and high performance through a massively parallel processing architecture.

Users
No information available
Industries
  • Computer Software
  • Information Technology and Services
Market Segment
  • 37% Mid-Market
  • 35% Enterprise
SQL Server 2019 Pros and Cons
How are these determined?Information
Pros and Cons are compiled from review feedback and grouped into themes to provide an easy-to-understand summary of user reviews.
Pros
Ease of Use
2
Big Data Management
1
Data Handling
1
Data Integration
1
Easy Integrations
1
Cons
Expensive
2
Data Import
1
Difficult Setup
1
Learning Curve
1
SQL Challenges
1
SQL Server 2019 features and usability ratings that predict user satisfaction
8.9
Ease of Use
Average: 8.7
8.5
Data Governance
Average: 8.4
9.0
Data Security
Average: 8.8
8.8
Scalability
Average: 8.5
Seller Details
Seller
Microsoft
Year Founded
1975
HQ Location
Redmond, Washington
Twitter
@microsoft
14,004,961 Twitter followers
LinkedIn® Page
www.linkedin.com
237,523 employees on LinkedIn®
Ownership
MSFT
  • Overview
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  • Product Description
    How are these determined?Information
    This description is provided by the seller.

    Advanced analytics meets traditional business intelligence with VMware Greenplum, the world’s first fully-featured, multi-cloud, massively parallel processing (MPP) data platform based on the open sou

    Users
    No information available
    Industries
    • Information Technology and Services
    • Computer Software
    Market Segment
    • 48% Enterprise
    • 32% Mid-Market
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • VMware Greenplum features and usability ratings that predict user satisfaction
    8.3
    Ease of Use
    Average: 8.7
    9.3
    Data Governance
    Average: 8.4
    9.3
    Data Security
    Average: 8.8
    8.7
    Scalability
    Average: 8.5
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Seller
    Broadcom
    Year Founded
    1991
    HQ Location
    San Jose, CA
    Twitter
    @broadcom
    59,880 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    59,194 employees on LinkedIn®
    Ownership
    NASDAQ: CA
Product Description
How are these determined?Information
This description is provided by the seller.

Advanced analytics meets traditional business intelligence with VMware Greenplum, the world’s first fully-featured, multi-cloud, massively parallel processing (MPP) data platform based on the open sou

Users
No information available
Industries
  • Information Technology and Services
  • Computer Software
Market Segment
  • 48% Enterprise
  • 32% Mid-Market
VMware Greenplum features and usability ratings that predict user satisfaction
8.3
Ease of Use
Average: 8.7
9.3
Data Governance
Average: 8.4
9.3
Data Security
Average: 8.8
8.7
Scalability
Average: 8.5
Seller Details
Seller
Broadcom
Year Founded
1991
HQ Location
San Jose, CA
Twitter
@broadcom
59,880 Twitter followers
LinkedIn® Page
www.linkedin.com
59,194 employees on LinkedIn®
Ownership
NASDAQ: CA