Product

Correctness, stability, and performance are the foundations of CockroachDB. We've invested tremendous resources into correctness and stability. Today, performance takes the spotlight as we will be publishing benchmarked metrics that demonstrate that you can achieve correctness, stability, and excellent performance within the same database.

Andy Woods

March 29, 2018

We are excited to announce support for JSON in our 2.0 release (coming in April) and available now via our most recent 2.0 Beta release. Now you can use both structured and semi-structured data within the same database. No longer will you need to sacrifice ACID guarantees, accuracy, or the ability to scale in order to use multiple data models within the same database. This post will explain how we implemented JSON and give you a few examples of how JSON can be used to model your data.

Today, we’re providing an automated way to setup multi-node CockroachDB clusters so developers can easily try out the latest stable and pre-release functionality. To automate test cluster deployment, we combine AWS CloudFormation (Amazon’s infrastructure automation product) with Kubernetes to let users spin up self-healing, horizontally scaling test clusters with just a couple clicks.

Nate Stewart

January 11, 2018

Internet of Things (IoT) and microservices-style applications need a database that can handle requirements such as fluctuating number of client connections, unpredictable workloads, and bursty throughputs. Traditional single-node databases handle these requirements by reducing latency to improve throughput. However, for modern distributed databases such as CockroachDB, the optimal approach to handle these requirements is to use multi-row SQL Data Manipulation Language (DML) and parallel processing. Multi-row DMLs provide an order-of-magnitude improvement in throughput performance as compared with equivalent single-row DMLs, which is why databases such as Oracle, MySQL, and Postgres widely support multi-row DMLs. CockroachDB has supported multi-row DMLs since the 1.0. This blog post discusses how to use multi-row DMLs, the performance benefits of multi-row DMLs over single-row DMLs, and the effects of compounding database and application parallelism in single-node vs. distributed databases.

Geographically distributed databases like CockroachDB offer a number of benefits including reliability, cost-effective deployments, and more. Critics often counter that distributed databases increase latency. What if a database could offer all of the benefits of distribution, but also provide low latency?

Andy Woods

November 30, 2017

Production deployments are a world apart from development and testing environments. They come with their own best practices and recommendations, usually customized for each piece of your software stack. In this post, we’ll examine some of the more critical decisions to be made when deploying CockroachDB in production.

We are excited to announce a partnership with Kindred Futures to build the next generation global online gaming platform for their parent company Kindred Group plc. Kindred is a rapidly growing, global business with strict data privacy and technical requirements. Their ambitious project to build a global online gaming platform with multiple active data centers that span continents is an exciting opportunity for our team. Furthermore, the close collaboration between our engineering teams is helping to shape the development of CockroachDB, starting with a design partnership for a geo-partitioning feature planned for the 1.2 release.

Jessica Edwards

October 16, 2017

Today, we are thrilled to announce the release of CockroachDB 1.1. We’ve spent the last five months incorporating feedback from our customers and community, and making improvements that will help even more teams move to CockroachDB. We are also excited to share success stories from a few of our customers. Baidu, one the world’s largest internet companies, shares how they are using CockroachDB to automate operations for applications that process 50M inserts and 2 TB of data daily. Heroic Labs, a software startup, shares how they simplified deployment of their gaming platform-as-a-service by packaging CockroachDB inside each server. CockroachDB 1.1 focuses on three areas: seamless migration from legacy databases, simplified cluster management, and improved performance in real-world environments.

Nate Stewart

October 12, 2017

As a CockroachDB Tech Writer, when I document a new feature, generally, I first try to learn the business value behind it, then I test the feature thoroughly, and then I try to write up concise, informative guidance for users. Sometimes, the business value and usage aren’t unique to CockroachDB (it’s a SQL database, after all, and SQL has been around for a while). Other times, I get to document capabilities so novel and powerful that straight-up user documentation just doesn’t seem enough.