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PostgreSQL

When Should You Use Distributed PostgreSQL For Gen AI Apps?

When Should You Use Distributed PostgreSQL For Gen AI Apps?

Postgres is increasingly being used for Gen AI workloads, but users have reported scalability and performance issues, data privacy challenges and high availability concerns. Before you choose a scalable, HA, vector database instead, try running distributed PostgreSQL. Read our new blog to discover when and how to use distributed PostgreSQL for Gen AI workloads.

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YugabyteDB Moves Beyond PostgreSQL 11

YugabyteDB Moves Beyond PostgreSQL 11

Discover why YugabyteDB is moving beyond PostgreSQL 11 and the challenges and solutions involved in upgrading to PostgreSQL 15 (and beyond). Learn how our engineering team is bringing the most popular PostgreSQL features to YugabyteDB, to deliver a reliable, scalable, highly available, and secure distributed SQL database.

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Advanced PostgreSQL Partitioning by Date with YugabyteDB Auto Sharding

Advanced PostgreSQL Partitioning by Date with YugabyteDB Auto Sharding

YugabyteDB’s automatic sharding overcomes PostgreSQL’s partition key limitations by allowing date range queries without modifying table partitioning. Thanks to its global secondary indexes, which don’t require a shared sharding key, YugabyteDB enhances performance by distributing rows across multiple servers. Discover the full advantages and see step-by-step instructions in our latest blog post.

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Simplify The Lift and Shift of PostgreSQL Apps With Familiar Read Committed Behavior

Simplify The Lift and Shift of PostgreSQL Apps With Familiar Read Committed Behavior

YugabyteDB 2.19.2 introduces full support for Read Committed Isolation with Wait-On-Conflict, essential for PostgreSQL users looking to seamlessly lift-and-shift applications to a distributed environment. This feature ensures parity with PostgreSQL while leveraging the scale and resilience of YugabyteDB, simplifying the transition for users.

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