CockroachDB 2.0 Performance Makes Significant Strides
Learn which performance metrics matter, why to demand benchmark TPC-C results under serializable isolation, and how CockroachDB 2.0’s performance compares to 1.1.
Cockroach Labs develops CockroachDB and Cockroach Continuum, an agentic database cloud-native, distributed SQL database designed for extreme resilience, seamless horizontal scaling, and global deployment.
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Learn which performance metrics matter, why to demand benchmark TPC-C results under serializable isolation, and how CockroachDB 2.0’s performance compares to 1.1.
The perennial question of homo sapiens is, 'How did we get here?' Today we're going to take a crack at answering that: where 'here' is defined as 'high availability for web services'.
Understanding the Raft Consensus Algorithm can be tough. In honor of "Mean Girls" day (October 3), we present Raft as explained through the movie "Mean Girls."
Distributed database performance––both latency and uptime––can be dramatically improved with CDN-like multi-region deployments.
In August, we wrote about our concerted stability effort. Today, we've more than achieved our CockroachDB stability goal of running a 100-node cluster.
Parallel Commits are an atomic commit protocol in CockroachDB. The feature promises to halve the latency of distributed transactions by performing all consensus round trips required to commit a transaction concurrently.
This post explains how CAP-Consistent systems can be highly available, how the CAP theorem applies to CockroachDB, and why consistency is the better choice.
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.
One of the headline features of CockroachDB is its full support for ACID transactions across a distributed database. In this post, we’ll explain...
If someone knows even a little about Spanner, the first question they have is: "How does CockroachDB provide external consistency without atomic clocks?"
With the help of Antithesis, a startup from the founders of FoundationDB, CockroachDB engineers were able to track down and reproduce a most elusive one-in-a-million bug, nearly deterministically!
This blog post outlines how CockroachDB executes queries and shares Cockroach Labs' vision for future work on distributed processing.
To protect concurrent transactions from anomalies that can break the consistency of CockroachDB, we require an Isolation guarantee...
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 2.1 is 50x more scalable than Amazon Aurora at less than 2% of the price per tpmC. Read on to see performance benchmarks of CockroachDB 2.1, including the latest TPC-C results.