Hayata N.
HN
BBCOR Tester

What are the best databases for handling large data sets in tech?

Hi all, I’m looking into relational database options that can effectively manage large volumes of data, especially in fast-moving tech environments.

Performance, scalability, and stability under heavy workloads are top priorities. I came across some popular options in the relational databases category on G2, and I’m curious how they hold up with big data sets in real-world use.

  • Amazon RDS: Managed service that supports multiple engines including MySQL, PostgreSQL, and SQL Server. Scales well on AWS and handles maintenance tasks like backups and patching.
  • Amazon Aurora: Built for high performance and availability. Compatible with MySQL and PostgreSQL and designed to auto-scale based on demand.
  • Microsoft SQL Server: Strong transactional support and data processing capabilities. Often used in enterprise environments for large-scale systems.
  • Google Cloud SQL: Easy-to-use cloud database for MySQL and PostgreSQL on GCP. Curious how well it handles heavier loads over time.
  • Oracle Database: Widely known for handling large, complex datasets with strong performance, partitioning, and security features.

If you’ve managed large data sets using any of these, I’d love to hear how they performed, what the scaling experience was like, and whether there were any major challenges.

Any insights would be really helpful.

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Hayata N.
HN
BBCOR Tester
0

Curious how Amazon RDS handles large-scale data in tech settings. Is it reliable when it comes to performance and long-term scalability?

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