Product

CockroachDB makes it possible to support a global customer base while remaining compliant with data privacy regulations. Operators interact with a single logical control plane that they can use to define how they want CockroachDB to store their row-level data. Meanwhile, developers continue to interact with our PostgreSQL-compatible API that transparently handles distributing queries across a global cluster. With our 2.0 release, we introduced a new cluster visualization in our web UI to help operators monitor a global cluster.

CockroachDB debuted as the open source database that made it possible to build massive, reliable cloud applications without giving up SQL. Forward-thinking companies adopted it to hide the complexity of dealing with distributed scale, resilience, and consistency problems in the database layer. The promise was simple: keep your apps simple and your pagers silent. Over the last six months, we’ve welcomed Mesosphere as a customer and helped companies like Kindred and Baidu continue to migrate internet-scale workloads onto CockroachDB. We’ve also watched our distributed SQL database enable exciting new use cases, from a blockchain solution for certifying document authenticity to a system of record for tracking simulations that help optimize oil and gas exploration.

Nate Stewart

April 4, 2018

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