CockroachDB for AI
The system of record your AI applications need
AI applications are scaling faster than anything before them. Multiple experimental tech stacks. Data fragmented across systems. Context lost between agents. You need a single database that ties it all together.
Start building on CockroachDB for AI
on the leading AI platform
4M+ <span class="ml-3 text-[18px] leading-[22px] font-normal small-text">weekly<br /> active<br /> users</span>
vector search at billions of scale
Sub-150ms
Uptime SLA
99.999%
AI agents that act on bad data make bad decisions.
RAG retrieves information. Agents take action. They approve transactions, update records, and make decisions that affect your business in real time. Once an agent can move money or change an order, semantic relevance isn't enough. It needs to know what happened before, what was done about it, and what the system state was at the moment of decision.
Most teams are running three systems: Postgres for operational data, specialized vector databases, and Kafka to stitch them together. Three sets of backups. Three security surfaces. Three things that break. Every new AI project makes the stack more fragile.
One database for your entire AI stack.
Transactional data, agent memory, and vector embeddings in a single system. No separate vector database. No sync pipelines. No ETL. Just one PostgreSQL database that handles it all. Serializable isolation by default: every agent, in every region, sees the exact same truth at the same time.
When data changes, your vectors stay in sync automatically, transactionally. No more stitching systems together and hoping they agree.
Scale, resilience, consistency, and simplicity — built for the chaos of AI.
Explosive AI scale without the complexity
When your AI app goes viral, you go from 100 to 100,000 users overnight. Agents hitting your application generate 1000x the traffic of humans alone. CockroachDB scales horizontally, automatically, without sharding.
Zero downtime when AI decisions matter
AI applications make real-time decisions: approving loans, detecting fraud, screening security threats, routing support tickets. Downtime means wrong answers and broken trust. CockroachDB survives region failures without data loss
Global AI with local latency
Your AI applications serve users in Tokyo, London, and New York simultaneously. Your data needs to be close to where it's used for latency, for compliance, for accuracy. CockroachDB geo-partitions data automatically so your agents always work from the nearest, freshest context.
One database your team already knows
Stop stitching together vector databases, operational databases, and metadata stores. CockroachDB handles vectors, relational data, and JSON through the PostgreSQL interface your engineers already use. pgVector compatible. Integrated CDC. Secure MCP agent access.
AI models are growing in size and complexity, and we wanted to build a solution for our customers that would allow them to leverage their AI workloads with speed and efficiency. This also meant that we needed a reliable, horizontally scalable database that could deliver the most up-to-date data without spending a lot of time on maintenance. We decided to use CockroachDB to power our AI Object Storage service, and we've been pleased with the results. CockroachDB is durable, provides strong data consistency guarantees, seamlessly scales, and helps simplify operations.
Dana Renfrow, Engineering Manager
CockroachDB for AI
Built on the same globally resilient foundation trusted by Fortune 500 Enterprises and fast-growing startups, with CockroachDB for AI organizations can start small, iterate quickly, and expand capabilities as AI workloads mature without migrations, rewrites, or architectural fragmentation.
The CockroachDB for AI Operating Model
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