Compliance with data localization laws is difficult and expensive. It’s particularly expensive with a monolithic DB. This blog outlines the yellow brick road towards compliance and flexibility for shifts in the data protection tectonic plates.
Cockroach CEO Spencer Kimball reads the tea leaves on the evolution of data protection laws, and what companies can do to prepare for the unknown.
One small step for Cockroach Labs, one giant leap for our release numbering.
After two years of nightly testing, we’ve come to learn the power and limitations of Jepsen as a testing tool.
When IT experts consider high availability infrastructure for mission-critical services, their minds often leap to Oracle as the preeminent service provider. But Oracle's database was designed in a pre-cloud world. As a cloud native database, CockroachDB introduces a new way of providing always-on availability, strong data consistency, and distributed performance.
This updated report includes the reproduction steps to our Cloud Report findings in which we benchmakred AWS and GCP. These steps allow for copy-paste reproduction of our process to empower you to check our work.
How we built a 40x faster hash joiner using vectorized execution.
CockroachDB's Consistency Model fits somewhere between serializability and linerarizability. We're proposing a new marketing phrase for CRDB's guarantees: no stale reads.
CockroachDB uses RocksDB for its storage engine because of RocksDB's rich feature set, which is necessary for a complex product like a distributed SQL database.
This post introduces Transactional Pipelining which dramatically speeds up distributed transactions with respect to the latency cost of distributed consensus.