The database market is shifting due to increasing demands for scalability, resilience, and AI integration. CockroachDB, led by CEO Spencer Kimball, focuses on distributed SQL databases built on PostgreSQL, emphasizing horizontal scaling capabilities. CockroachDB is designed for high operational data volumes, aiming to support hundreds of terabytes to petabytes. The company prioritizes operational databases over analytical ones, catering to both human and AI access for high concurrency and strong consistency.
Kimball envisions AI enhancing observability and support, potentially reducing issue resolution times significantly. CockroachDB is also developing vector indexing for nearest-neighbor searches in high-dimensional spaces but does not aim to compete with general-purpose vector databases. Cost reduction is a priority, with potential improvements in utilization and cloud cost efficiencies projected to reduce costs by 10 to 16 times.
CockroachDB's geographic scalability allows it to serve customers across multiple regions, ensuring compliance with data locality laws. The database is cloud-agnostic, supporting hybrid deployments, and is positioned as a solution for self-hosted enterprise customers. Kimball highlights the challenges of integrating AI into distributed systems and notes that cloud vendors view CockroachDB as both a competitor and a partner.
CockroachDB maintains a PostgreSQL-like experience while adapting for distributed environments, particularly in ID generation. The company was founded in 2015 by former Google employees, inspired by Google’s Bigtable and Spanner databases, and aims to combine the benefits of SQL with the scalability of distributed systems.