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The goal of CockroachDB is to “make data easy,” and while it seems like a stretch now, we eventually want CockroachDB to be able to act as the entire state layer for web applications. We are currently addressing the SQL layer, and a full-text search like ElasticSearch is somewhere ahead on the product horizon. Since Cockroach Labs offered a flexible policy for work on experimental projects, I decided to use mine to experiment with implementing the Redis protocol on top of CockroachDB, attempting to answer the question: Could CockroachDB ever replace Redis?

Cgo is a pretty important part of Go: It’s your window to calling anything that isn’t Go (or, more precisely, anything that has C bindings). For CockroachDB, cgo lets us delegate a lot of the heavy lifting at the storage layer to RocksDB, for which no suitable replacement within the Go ecosystem exists, at least to the best of our knowledge. After some iterations, we’ve found that the right way to deal with these external libraries – of which we have quite a few – is to outsource them in Go wrapper packages:

The goal of CockroachDB is to make data easy. If you could take all the energy wasted wrestling with database shortcomings, and invest that time, money and engineering into making your company stronger and your product better, everyone would be better off.

Jessica Edwards

October 30, 2015

<!–– Outdated blog post alert! CockroachDB no longer stores each non-primary-key column in a separate value by default. By default, all data in a table is stored in the same column family. Gory details available here. ––!>

Peter Mattis

September 16, 2015

Editor's Note - April 23, 2021: This article was written in 2015 when CockroachDB was pre-beta. The product has evolved significantly since then. We will be updating this post to reflect the current status of CockroachDB. In the meantime, the transaction section of the Architecture Document provides a more current description of CockroachDB's transaction model.

In CockroachDB, we use the Raft consensus algorithm to ensure that your data remains consistent even when machines fail. In most systems that use Raft, such as etcd and Consul, the entire system is one Raft consensus group. In CockroachDB, however, the data is divided into ranges, each with its own consensus group. This means that each node may be participating in hundreds of thousands of consensus groups. This presents some unique challenges, which we have addressed by introducing a layer on top of Raft that we call MultiRaft.

Ben Darnell

June 12, 2015

Databases are the beating heart of every business in the world, running the gamut from humble spreadsheets to thousands of servers linked into vast supercomputers. And they’ve been evolving rapidly. Most of us at Cockroach Labs have spent our careers watching them progress, often actively struggling to overcome their limitations when the task at hand outstripped their capabilities. But first, why “Cockroach”? If you can get past their grotesque outer aspect, you’ve got to give them credit for sheer resilience. You’ve heard the theory that cockroaches will be the only survivors post-apocalypse? Turns out modern database systems have a lot to gain by emulating one of nature’s oldest and most successful designs. Survive, replicate, proliferate. That’s been the cockroach model for geological ages, and it’s ours too. It doesn’t hurt that the name itself is resilient to being forgotten.

Spencer Kimball

June 4, 2015

Last fall we wrote about how CockroachDB was 50x more scalable than Amazon Aurora as evidenced on the industry-standard TPC-C benchmark. We’re pleased to announce that CockroachDB has doubled that performance benchmark by successfully passing TPC-C at 100,000 warehouses. And with a max throughput of 1.2m tpmC, CockroachDB can now process 100X the throughput of Amazon Aurora’s last published benchmark.

Andy Woods

March 13, 2024

In this blog post, we’ll explore the motivations behind the REGIONAL BY ROW abstraction, take a deeper dive into the abstraction itself, and look behind the scenes to understand how REGIONAL BY ROW works under the covers. We also have a hands-on demo for you to try out at the end, so you can play around with a toy multi-region cluster yourself!

Rebecca Taft

March 13, 2024