The Distributed SQL Blog

Thoughts on distributed databases, open source, and cloud native

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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Getting Started with JetBrains DataGrip on a Distributed SQL Database

If you’re a database developer, you know the time saving value of an IDE in helping you create and navigate database objects, plus query and edit data from single UI. DataGrip from JetBrains is a well-rounded, visual database tool that supports almost 20 SQL and NoSQL databases from a single interface. And because YugabyteDB is PostgreSQL compatible, getting DataGrip to work with a distributed SQL database is relatively simple.

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Developing Reactive Microservices with Spring Data and Distributed SQL

In 2016 in the keynote presentation of Spring One Platform, Juergen Hoeller announced Spring WebFlux, one of the most highly anticipated projects being worked on by the Spring Team due to the performance gains that reactive streams promised for web controllers. Subsequently, with Spring Framework 5.0, Spring Reactive MVC went GA along with the release of WebFlux API,

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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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Distributed SQL vs. NewSQL

Our previous post in this series “What is Distributed SQL?” highlights the common architectural principles as well as the business benefits of distributed SQL databases. In this post, we compare distributed SQL databases against NewSQL databases so that we can better understand their differences.

Before we dive into NewSQL, it is important to understand why NoSQL databases like MongoDB and Apache Cassandra came into prominence in the mid-to-late 2000s.

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