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.
Managing large PostgreSQL tables requires partitioning, which can complicate queries. Migrating to YugabyteDB simplifies scaling by automatically sharding and distributing data and minimizing partition reliance. The article includes demos on PostgreSQL’s partitioning limitations and YugabyteDB’s advantages in distributed tables and scalability.
Discover how to scale PostgreSQL for rapid app growth with our infographic that outlines the evolution to a resilient, compliant, globally scalable distributed deployment. Learn about distributed PostgreSQL’s forms, including multi-master asynchronous replication and sharded or shared-nothing setups, along with their advantages and challenges.
We are pleased to announce that YugabyteDB 2.0.7 is live! You can read the official release notes of this and previous versions here. This release is shipping with almost 30 new enhancements and bug fixes.
What’s YugabyteDB? It is an open source, high-performance distributed SQL database built on a scalable and fault-tolerant design inspired by Google Spanner. Yugabyte’s SQL API (YSQL) is PostgreSQL wire compatible
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Triggers are a basic feature that all monolithic SQL systems like Oracle, SQL Server and PostgreSQL have supported for many years. They are very useful in a variety of scenarios ranging from simple audit logging, to advanced tasks like updating remote databases in a federated cluster. In this blog, we’ll look at examples of INSERT, UPDATE and INSTEAD OF triggers in Yugabyte DB.
What’s Yugabyte DB? It is an open source, high-performance distributed SQL database built on a scalable and fault-tolerant design inspired by Google Spanner.
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YugabyteDB 2.0 is now available! This release features the production-ready Yugabyte SQL (YSQL) API. Discover new updates, including performance benchmarks, Jepsen test results, and a sneak peek at upcoming Beta features.
YugabyteDB and Kubernetes have very complementary design principles because they both rely on an extensible and flexible API layer, as well as a scale-out architecture for performance and availability. In this blog post we’ll look at best practices and recommendations when choosing Kubernetes as the cluster foundation for a distributed SQL system. This will begin with a review of relevant architectural decisions of the YugabyteDB. Then we’ll walk you through how to handle the provisioning,
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This post provides a guide on how to download and install the PGExercises sample dataset on the YugabyteDB distributed SQL database with a replication factor of 3. PGExercises includes over 80 exercises that cover a range of SQL queries and is designed to be used alongside the official PostgreSQL documentation.
We are pleased to announce that YugabyteDB 1.3.0 is live! You can read the release notes of this and previous versions here. This release is shipping with 24 new features, enhancements and bug fixes. Beyond enhancements and fixes, the other big news is that we have open sourced the entire core database code! This means that previously closed features like distributed backups, data encryption and replicas are now open sourced. This also means that upcoming features like change data capture and 2 datacenter deployments will open source as well.
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