We 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. In this blog we’ll summarize how to get started with the operator.
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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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We are excited to announce that YugabyteDB is now 100% open source under the Apache 2.0 license. This means previously closed-source, commercial, enterprise features such as Distributed Backups, Data Encryption, and Read Replicas are now available in the open source project and are completely free to use. The same applies to upcoming new features like Change Data Capture and 2 Data Center Deployments. The result of this change is that we no longer have a Community Edition and an Enterprise Edition of YugabyteDB.
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We are very excited to announce the arrival of YugabyteDB 1.3. This post will outline some of the major milestones in this release.
In this release, all the enterprise features in the core DB are now available in open source under the Apache 2.0 license! Effective v1.3, there is no more EE vs CE distinction, there is just one database with all the features you want.
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Enterprises of all sizes are embracing rapid modernization of user-facing applications as part of their broader digital transformation strategy. The relational database (RDBMS) infrastructure that such applications rely on suddenly needs to support much larger data sizes and transaction volumes. However, a monolithic RDBMS tends to quickly get overloaded in such scenarios. One of the most common architectural patterns used to scale an RDBMS is to “shard” the data. In this blog, we will learn what data sharding is and how it can be used to scale a SQL database.
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We are pleased to announce that YugabyteDB 1.2.10 is live! You can read the release notes of this and previous versions here. This release is shipping with foreign key support plus 16 new features, enhancements and bug fixes. Here’s a few highlights from the 1.2.10 release:
What’s YSQL? It’s YugabyteDB’s PostgreSQL-compatible, distributed SQL API.
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If you missed the April 30 webinar with Kyle Kingsbury, the creator of Jepsen and Karthik Ranganathan, CTO at YugaByte, you can check out the playback here and download the slides here.
Kyle did a great deep-dive into his testing approach, research methodology and what he found when applied to YugabyteDB. If you are looking for an unvarnished and honest assessment of YugabyteDB’s consistency and transactional claims,
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You can join the discussion about the results on HackerNews here.
Last year we published our DIY Jepsen testing results – including the tests and failure modes implemented as well as the bugs found. We recently engaged Kyle Kingsbury, the creator of the Jepsen test suite, for an official analysis and are happy to report that YugabyteDB 1.2 formally passes Jepsen tests using the YCQL API.
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Our previous post dived into the details of the storage layer of YugabyteDB called DocDB, a distributed document store inspired by Google Spanner. This post focuses on Yugabyte SQL (YSQL), a distributed, highly resilient, PostgreSQL-compatible SQL API layer powered by DocDB. A follow-up post will highlight the challenges faced and lessons learned when engineering such a database.
Yugabyte SQL (YSQL) is a distributed and highly resilient SQL layer,
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In this post, we dive into the architecture of the distributed storage layer of YugabyteDB, which is inspired by Google Spanner’s design
