Andy woods

CockroachDB’s multi-region capabilities let you manage data across availability zones and regions, to optimize latency and availability. You can now control data latency and availability with a few SQL statements.

Spatial data types including GEOMETRY and GEOGRAPHY are available for free in open source, distributed CockroachDB.

CockroachDB's Console makes troubleshooting runaway queries and slow transactions easier with cluster data including Metrics, Databases, Sessions, Transactions, Statements, and more.

Lateral joins — similar to nested foreign loops — are a type of correlated subquery that allow data sources to reference columns provided by previous data sources in the same query. Give them a spin in CockroachDB.

Online Primary Key Changes allows you to upgrade your application from a single-region to multi-region with zero downtime. Here's how to make the most of the feature.

Key learnings about how to get the best performance from GCP, AWS, and Azure based on original research and conversations with the big three.

The 2020 Cloud Report compares AWS, GCP, and Azure on microbenchmarks and customer-like-workloads to understand performance tradeoffs within each cloud.

In this blog post, we introduce Follower reads, a key feature for supporting multi-region reads with low latency when your use case can accept stale data.

CockroachDB passed the TPC-C benchmark at 100,000 warehouses. With a max throughput of 1.2m tpmC, CockroachDB can process 100X the throughput of Aurora.

Reproduction steps for the 2018 Cloud Report findings in which we benchmakred AWS and GCP. These steps allow for copy-paste reproduction of our process.

Customers rely on us to help navigate the increasingly competitive cloud wars. This inspired the 2018 Cloud Report, a benchmark of AWS and GCP on performance, latency, CPU, network, I/O, and cost.

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.

JSONB makes it easy to tweak your data model and prototype new features, which makes it an ideal CockroachDB 2.0 feature for startups and enterprises alike.

CockroachDB achieves high OLTP performance of 128,000 tpmC on a 2 terabyte TPC-C dataset in size. This is 10x more TPC-C throughput than Aurora.

Geo-partitioning keeps user data close to the user, reducing latency and improving UX while archival-partitioning allows you to store data efficiently.

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.