463 Databricks Data Intelligence Platform Reviews
I like it because it stands out for its ability to unify data science, data engineering, and business analytics into a single interface. I also appreciate the seamless integration with collaborative notebooks and the ability to seamlessly with Delta Lake is also a big plus, ensuring reliability and performance when managing large-scale data. Review collected by and hosted on G2.com.
Sometimes, the web interface can take a while to load active clusters. Id also like more visual tools to monitor resource usage in real time. Review collected by and hosted on G2.com.
The Databricks Data Intelligence Platform allows us to have a single source of development capabilities for IT developers and business analysts. This allows for easier implementation of capabilities and consolidation of toolsets across the environment. Users are given the freedom to develop the data products they need in the time frames they need them. It makes implementation and productionalization of these projects much easier to integrate for downstream usage. Review collected by and hosted on G2.com.
The one "dislike" I have is that it's difficult to keep up with all of the improvements and enhancements in the platform. We always see new features to implement and want to make sure we're doing the best we can for our end users. Review collected by and hosted on G2.com.
Databricks is very dependable, flexible, and helps our company to create innovative analytical solutions and every week in our technical meetings, we cover a range of subjects like bugs, best practices, new features, and more using it. Also every member of the support crew in Databricks responds fast and is rather helpful. Review collected by and hosted on G2.com.
When using creative features like AI, cost control and estimation might prove difficult. And although lakeview SQL is still not yet developed, Databricks is actively pushing their utilization nonetheless. Also every now and then unannounced feature activation in my office surprises me. Review collected by and hosted on G2.com.
Working on the Databricks where we can easily analyze huge datasets and integrate our platform or website to create an insight from our internal dataset. They have number of features that help us to manage all analytical views with pre define templates. Review collected by and hosted on G2.com.
Implementation was so quick and easy that help us to manage all data without any issues. I like their customer support services and their frequent use make them my favorite platform for data management. Review collected by and hosted on G2.com.
This lake house architecture brings the best of both data lakes and warehouses , so we don't have to deal with the unnecessary complexity. Delta lakes ensures reliability while the notebook based interface makes collaboration seamless. The platform ability to handle batch, streaming, and machine learning workloads in one place is a huge advantage. Review collected by and hosted on G2.com.
The pricing can get expensive, especially if workloads aren't optimized properly, also while the notebooks are great they could use better version control for collaborative work . the initial learning curve can be a bit steep for those new to spark but once you get the hang of it. It is powerful tool Review collected by and hosted on G2.com.
I love Databricks because it consolidates data engineering, machine learning and analytics into one and the feat of using collaborative notebooks also enables real-time and seamless teamwork in working between a data engineer working on data pipelines and a data scientist running various experiments. And it handles large-scale data quite easily and running complex SQL queries within seconds with no infrastructure related issues. Also it has some built-in governance tools like unity catalog which help me in managing data lineage and controlling access. Review collected by and hosted on G2.com.
Databricks can be quite overwhelming for beginners especially if they do not have a good grasp of sql and spark to begin with. And the pace of their updates, although is quite good, it tends to introduce breaking changes which can be a pain to keep up with. Also the pricing can get expensive at scale especially for teams that work with really big sets of data. Review collected by and hosted on G2.com.
What I like best as a Data Architect is the possibility to manage your data starting from the ingestion to the serving endpoints everything is managed and monitored in the same platform creating reusable resources optimizing costs and efforts while conserving full flexibility. All of that seasoned with open source mindset. Review collected by and hosted on G2.com.
I think the lakeflow connector are still in embryonic stage, I think it will get better with time but at the moment is not the best on the market Review collected by and hosted on G2.com.
Databricks is a tool that is constantly evolving. I really appreciate the number of features they release, and the fact that they are up to date. It's an everyday platform that adapts to all use cases and is easy to integrate. It's an all-in-one solution with ETL with warehouses, Python, Spark, Scala, machine learning, and GenAI. Review collected by and hosted on G2.com.
Sometimes I wish they would update the documentation more, that there weren't so many changes in the API .
The release notes of the changes were better explained to us and that we would have time to address the changes.
Customer support is one thing that they have to improve too Review collected by and hosted on G2.com.
What I really like about Databricks is how it brings every technical requirements under one space like kind one stop place for anything related to data. From cleaning and organizing to building machine learning models, it makes the whole process less messy. We could work as a team without constantly emailing or switching tools. Performance wise, it holds up even when we throw big workloads at it, and it connects well with other tools we use. Real-time data processing is smooth, and I’ve noticed we get insights much faster now. It’s also got solid controls around data access and tracking, which gives peace of mind on the security side. Overall, it's a smart, efficient platform that makes working with data feel way more natural. Review collected by and hosted on G2.com.
Databricks offers a good environment for data processing and analytics, but it does come with its set of challenges. One of the primary challenge is the learning curve, especially for those new to big data tools.But customer support really try their best. Review collected by and hosted on G2.com.
Quality of Databricks services are top notch and best also their support team always reply fast and with resolution for any techy questions. I like to use Databricks for my data analytical work. Review collected by and hosted on G2.com.
Easy to use infrastructure and number of integration make them very useful and reliable platform for us to manage or datasets and ML related works. Review collected by and hosted on G2.com.
