Thoughts on distributed databases, open source and cloud native
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.
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This post addresses a concern raised about a benchmarking result we recently published comparing the performance of YugabyteDB, Amazon Aurora and CockroachDB. It was pointed out that we unfairly used the default isolation level for each database rather than use serializable isolation level in all databases (even though serializable level was not required for these workloads). In addition,
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Read MoreWe are excited to announce the general availability of YugabyteDB 2.0! The highlight of this release is that it delivers production readiness for Yugabyte SQL (YSQL), our high-performance, fully-relational distributed SQL API. For those of you new to distributed SQL, YugabyteDB is a Google Spanner-inspired, cloud-native distributed SQL database that is 100% open source.
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Update: A new post “The Effect of Isolation Levels on Distributed SQL Performance Benchmarking” includes performance results from running these workloads at serializable isolation level in YugabyteDB.
We are excited to announce the general availability of YugabyteDB 2.0 this week! One of the flagship features of the release was the production readiness of the PostgreSQL-compatible YugabyteDB SQL (YSQL) API.
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The team at Yugabyte and members of the community were excited to announce the general availability of Yugbyte 2.0 this week. One of the flagship features of the release was the production readiness of the PostgreSQL compatible, Yugabyte SQL API (YSQL). In other blogs we covered Jepsen testing results, new performance benchmarks and ecosystem integrations including the GraphQL projects Hasura and Prisma.
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Read MoreToday, we are proud to announce that Blitzz and Yugabyte have partnered to accelerate database modernization. Both these companies were founded by engineering leaders with a proven track record in databases and share a common vision of enabling enterprises to replicate and migrate their existing databases to a cloud-native platform. With Yugabyte DB’s Postgres-compatible YSQL API,
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Read MoreWe are excited to congratulate the Rook community on the release on 1.1! We are also pleased to announce that the Rook operator for YugabyteDB is now available from rook.io and also on Github. This release extends the Rook storage operator as a custom resource, as well as provides an additional way to easily create, natively view and manage YugabyteDB within a Kubernetes cluster.
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Read MoreYugabyte 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 Yugabyte DB.
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Read MoreNote: You can join the discussion on Hacker News here.
We are very excited to announce that the SQL API of YugabyteDB v1.3.1.2 passed Jepsen testing performed by Kyle Kingsbury [Edit] (with the exception of transactional DDL support, which almost no other distributed SQL database vendor supports,
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Read MoreIf you’re a database developer, you already understand the importance of a tool to manage your databases. Whether it is for creating schemas, ad-hoc querying, backups, or diving deeper to troubleshoot a database issue, a database tool can make your life much easier and increase your productivity. In a previous posts we covered how to get started with DBeaver,
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