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CockroachDB
Distributed SQL database — PostgreSQL-compatible, automatic multi-region replication, survives datacenter failures.
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About CockroachDB
CockroachDB is a distributed SQL database that is PostgreSQL-compatible — applications using PostgreSQL drivers work with CockroachDB without code changes. It automatically replicates data across multiple nodes and survives node or entire datacenter failures.
CockroachDB vs PostgreSQL: PostgreSQL is a single-node database (plus manual replication). CockroachDB is distributed from inception — data is automatically sharded and replicated across 3+ nodes. No manual replication configuration.
Survive datacenter failures: CockroachDB uses Raft consensus — a transaction succeeds only when a majority of nodes have written it. If a datacenter goes down, the cluster continues operating from the remaining majority.
Geo-partitioning: pin specific data to specific geographic regions for data residency compliance. User data for EU users stays in EU nodes; US data stays in US nodes. One CockroachDB cluster, multiple geographic partitions.
Postgres compatibility: 95% of PostgreSQL queries work on CockroachDB without changes. Applications using Postgres drivers (psycopg2, pg, Prisma) work with minor configuration changes.
Key Features
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Distributed replication: automatic data replication across 3+ nodes with no config
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Raft consensus: transactions succeed only when majority of nodes confirm — automatic HA
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Geo-partitioning: pin data to specific geographic regions with row-level partitioning
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PostgreSQL wire protocol: existing Postgres drivers connect to CockroachDB without code changes
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Serverless: auto-scaling compute that scales to zero when unused
Pros
- ✓Survives datacenter failures automatically — Raft consensus continues from majority nodes
- ✓PostgreSQL-compatible: existing apps using Postgres drivers work with minor config changes
- ✓Automatic sharding: data distributed across nodes automatically — no DBA manual sharding
- ✓Geo-partitioning: pin EU user data to EU nodes for GDPR data residency compliance
- ✓Free Serverless tier: 5 GB storage free, scales to zero when not in use
Cons
- ✗Significantly more expensive than PostgreSQL at equivalent storage — $199+/month for dedicated
- ✗Not 100% PostgreSQL compatible — some PostgreSQL-specific functions are not supported
- ✗Write latency higher than single-node PostgreSQL due to cross-node consensus overhead
Who is using CockroachDB?
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Applications that need multi-region distribution with automatic failover across datacenters
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Companies with GDPR data residency requirements who need geo-partitioned user data
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SaaS products that cannot afford any downtime and need automatic datacenter failover
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Teams who want horizontal write scaling without managing PostgreSQL sharding
Use Cases
- →Deploying a globally distributed application where US and EU users read from nearby nodes
- →Setting up geo-partitioning to keep EU user data in EU nodes for GDPR compliance
- →Replacing a PostgreSQL setup prone to failover issues with CockroachDB''s automatic HA
- →Using the Serverless tier for a side project that scales to zero when not used
Pricing
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Serverless Free : $0/mo — 5 GB storage, Scales to zero, Community support
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Dedicated : $199/mo — Dedicated cluster, All features, Priority support, SLA
Pricing details may not be up to date. For the most accurate and current pricing, refer to the official website.
What Makes CockroachDB Unique?
The distributed SQL database that survives datacenter failures automatically — PostgreSQL-compatible for existing applications, geo-partitioning for data residency compliance, and Raft consensus for zero-downtime multi-region deployments.
How We Rated It
Feature comparison from CockroachDB and PostgreSQL documentation. Serverless pricing from cockroachlabs.com July 2025.
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Accuracy and Reliability 4.4/5
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Ease of Use 4.4/5
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Functionality and Features 4.5/5
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Performance and Speed 4.4/5
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Customer Support 4.3/5
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Value for Money 4.4/5
AI summary
Distributed SQL database — PostgreSQL-compatible, automatic multi-region replication, survives datacenter failures.