The Distributed SQL Blog

Thoughts on distributed databases, open source and cloud native

Cloud Native Meets Distributed SQL: Bringing Microservices, Kubernetes, Istio & YugabyteDB Together with Hipster Shop Demo

Polyglot persistence is the widely accepted database implementation strategy when it comes to decomposing monoliths into microservices. In practice, this requires every microservice to model its data needs independently using a database that is purpose-built for that particular model, and thereafter store the data in an independent database instance. While independent database instances as a deployment paradigm makes sense from an decoupled microservices architecture standpoint,

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5 Query Pushdowns for Distributed SQL and How They Differ from a Traditional RDBMS

A pushdown is an optimization to improve the performance of a SQL query by moving its processing as close to the data as possible. Pushdowns can drastically reduce SQL statement processing time by filtering data before transferring it over the network, filtering data before loading it into memory, or pruning out entire files or blocks that  do not need to be read.

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YugabyteDB Engineering Update – Feb 28, 2020

We are excited to announce that YugabyteDB 2.1 went GA earlier this week! You can read the official release notes here. This release shipped with almost 70 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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Getting Started with Distributed SQL on Yugabyte Cloud

With the release of YugabyteDB 2.1 earlier this week, we introduced many exciting new features: performance optimizations, 2DC and read replica support, and more. We also announced that Yugabyte Cloud is now officially in Beta! In this blog post we’ll show you how to quickly get up and running with a YugabyteDB cluster on Yugabyte Cloud,

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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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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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