The Distributed SQL Blog

Thoughts on distributed databases, open source and cloud native

YugabyteDB 2.1 is GA: Scaling New Heights with Distributed SQL

Team Yugabyte is excited to announce the general availability of YugabyteDB 2.1! The highlight of this release is that Yugabyte SQL (YSQL), YugabyteDB’s PostgreSQL-compatible API, has not only improved performance 10x since the 2.0 release in September 2019 but is also production ready for multiple geo-distributed deployment scenarios. For those of you who are new to distributed SQL,

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Achieving 10x Better Distributed SQL Performance in YugabyteDB 2.1

When starting the YugabyteDB project, our founding thesis was to build a high-performance distributed SQL database for the cloud native era. Achieving high performance will always remain an ongoing initiative, especially when additional optimizations are required to support new features and new use cases. We are excited that the current YugabyteDB 2.1 release has a number of improvements that make Yugabyte SQL’s performance 10x better on average than the previous 2.0 release (from September 2019).

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YugabyteDB Engineering Update – Jan 29, 2020

We are pleased to announce that YugabyteDB 2.0.11 is now live!  You can read the official release notes of this and previous versions here. These two releases shipped with a combined 30+ new enhancements and 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.

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Four Data Sharding Strategies We Analyzed in Building a Distributed SQL Database

A distributed SQL database needs to automatically partition the data in a table and distribute it across nodes. This is known as data sharding and it can be achieved through different strategies, each with its own tradeoffs. In this post, we will examine various data sharding strategies for a distributed SQL database, analyze the tradeoffs, explain the rationale for which of these strategies YugabyteDB supports and what we picked as the default sharding strategy.

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Getting Started with DbSchema on a Distributed SQL Database

If you’re a database developer, you know the time saving value of being able to visually design, document and query SQL and NoSQL databases from a single UI. DbSchema is a well-rounded, visual database tool that supports over 40 databases from a single interface. Because YugabyteDB is PostgreSQL compatible, getting DBSchema to work with a distributed SQL database is relatively simple.

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Implementing PostgreSQL User-Defined Table Functions in YugabyteDB

Welcome to part two of a three-part series of posts on PostgreSQL’s table functions. These functions can be easily leveraged in a distributed SQL database like YugabyteDB, which is PostgreSQL compatible.

In part one I gave a brief introduction to PostgreSQL’s table functions. Part three will cover some realistic use cases. I’ll introduce this second post by quoting that paragraph:

A regular language plpgsql user-defined function is implemented using the plain return statement.

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YugabyteDB Engineering Update – Dec 9, 2019

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.

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