CockroachDB offers high fault-tolerance with simple deployment, geo-partitioning, and distributed architecture. Users appreciate node syncing and PostgreSQL compatibility without modifying applications. Documentation and Cockroach University enhance usability. Security features include SSL, user-friendly observability, and automatic rebalancing. Geo-distribution ensures data proximity and speed. The system avoids costly servers in multiple regions. It supports ACID transactions, automatic migrations, and schema changes. It is cloud-native with easy scalability and data residency compliance.
- "CockroachDB is excellent for managing relationships in RDBMS with multiple benefits such as the ability to create views and dynamic queries that save data and reduce the use of complex algorithms in code."
- "The most valuable feature is that CockroachDB is a distributed database, which can deploy nodes running in different regions."
- "What I like best is its ability to solve data residency issues. The main advantage is auto geo partitioning, built into the product. This means we don't have to spin up separate servers in each region, which would be much more costly."
CockroachDB needs enhancements in documentation, particularly in Japanese. Improvements are desired for compatibility with PostgreSQL and CouchDB, initial setup, pricing, disaster recovery features, integration capabilities, and geo-partitioning. Users seek a more intuitive UI, better latency optimization for globally distributed applications, and enhanced failover capabilities. Extensibility, logging, and backup processes require advancements. The platform should manage request units more efficiently to avoid throttling, and schema migration speed should increase. AI could assist in partition key modeling.
- "For multi-region deployment, CockroachDB requires at least three plus replicas across data centers to achieve strong consistency across regions, which increases infrastructure costs including compute, storage, and networking."
- "I would like CockroachDB to have more compatibility with PostgreSQL, especially with the connection string and technical integrations."
- "I think the engine itself could be improved. If you miss a partition key, it should be able to be modeled. This is where AI could be really helpful. For example, if a user is from Australia, the system should know to look for their data there first instead of searching in the US or another continent."
