Start Now

Simplify data migration and embrace a cloud native architecture with YugabyteDB Voyager!

Learn More

Author: Jimmy Guerrero

YugabyteDB Engineering Update – May 6, 2020

YugabyteDB Engineering Update – May 6, 2020

YugabyteDB Release Updates

We are excited to announce that YugabyteDB 2.1.5 is GA! The 2.1.5 release shipped with over 40 new enhancements and fixes. Also, yesterday we hit a milestone that we are very proud of–we welcomed our 1000th member to the YugabyteDB community Slack channel! Congrats to Rob Sami for being the 1000th member, and thank you to the entire YugabyteDB community for your contributions and support along the way.

Read more

YugabyteDB Engineering Update – April 13, 2020

YugabyteDB Engineering Update – April 13, 2020

We are excited to announce that YugabyteDB 2.1.3 is GA! You can read the official release notes here. This release shipped with over 60 new enhancements and fixes.

The Yugabyte team has been working from home in order to do our part with social distancing and to help with containment efforts. We have also transitioned to online meetings with our customers, partners, candidates, community, and fellow Yugabeings. We will continue with these and other measures until it’s determined to be safe otherwise.

Read more

Basic CRUD Operations Using Hasura GraphQL with Distributed SQL on GKE

Basic CRUD Operations Using Hasura GraphQL with Distributed SQL on GKE

Editor’s note: This post was updated July 20, 2020 with new Helm and YugabyteDB versions

GraphQL is an MIT-licensed project originally developed at Facebook in 2012 and open-sourced a few years later. Two popular GraphQL projects, Hasura and Apollo, have reported download numbers of 29 and 33 million, respectively. Why? Think of GraphQL as a query language for APIs and a runtime for fulfilling those queries with your existing data. GraphQL provides a complete and understandable description of the data in your API,

Read more

Getting Started with pgbench and Distributed SQL on GKE

Getting Started with pgbench and Distributed SQL on GKE

pgbench is a simple program for running benchmark tests on PostgreSQL. It runs the same sequence of SQL commands over and over, possibly in multiple concurrent database sessions, and then calculates the average transaction rate (transactions per second). By default, pgbench tests a scenario that is loosely based on TPC-B, involving five SELECT, UPDATE, and INSERT commands per transaction. However, it is easy to test other cases by writing your own transaction script files.

Read more

YugabyteDB Engineering Update – March 17, 2020

YugabyteDB Engineering Update – March 17, 2020

We are excited to announce that YugabyteDB 2.1.2 is GA! You can read the official release notes here. This release shipped with over 30 new enhancements and fixes.

Before we dive in, we wanted to let you know that the Yugabyte team has been working from home in order to do our part with social distancing and to help with containment efforts. We have also transitioned to online meetings with our customers,

Read more

Getting Started with Falco Runtime Security and Cloud Native Distributed SQL on Google Kubernetes Engine

Getting Started with Falco Runtime Security and Cloud Native Distributed SQL on Google Kubernetes Engine

Falco is an incubating CNCF project that provides cloud native, open source runtime security for applications running in Kubernetes environments. Falco monitors process behaviors to detect anomalous activity and help administrators gain deeper insights into process execution.  Behind the scenes, Falco leverages the Linux-native extended Berkeley Packet Filter (eBPF) technology to analyze network traffic and audits a system at the most fundamental level, the Linux kernel. Falco then enriches this data with other input streams,

Read more

YugabyteDB Engineering Update – Feb 28, 2020

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. Yugabyte’s SQL API (YSQL) is PostgreSQL wire compatible.

Highlights of this release include:

Generally Available Features

Geo-distributed,

Read more

Getting Started with Distributed SQL on YugabyteDB Managed

Getting Started with Distributed SQL on YugabyteDB Managed

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 YugabyteDB Managed (formerly 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 YugabyteDB Managed, build a sample database, and connect to it with JetBrain’s DataGrip database administration tool.

Read more

Getting Started with JetBrains DataGrip on a Distributed SQL Database

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. In this post we’ll show you how to get DataGrip connected to a YugabyteDB cluster,

Read more

Distributed SQL Tips and Tricks – Feb 14, 2020

Distributed SQL Tips and Tricks – Feb 14, 2020

Welcome to this week’s tips and tricks blog where we recap some distributed SQL questions from around the Internet. We’ll also review upcoming events, new documentation and blogs that have been published since the last post. Got questions? Make sure to ask them on our YugabyteDB Slack channel, Forum, GitHub or Stackoverflow. Ok, let’s dive right in:

How can I get the JSON output of distinct columns?

Read more

Learn More to Accelerate Your Retail Business

Ready to dive deeper into distributed SQL, YugabyteDB, and Yugabyte Cloud?
Learn at Yugabyte University
Learn More
Browse Yugabyte Docs
Read More
Join the Yugabyte Community
Join Now