CockroachDB vs PostgreSQL
CockroachDB is a distributed SQL database designed for horizontal scaling and high availability across multiple nodes, while PostgreSQL is a traditional single-node relational database that excels in ACID compliance and feature richness. PostgreSQL requires manual replication setup for multi-node deployments, whereas CockroachDB has built-in distributed architecture.
CockroachDB
Distributed SQL database with PostgreSQL compatibility and global consistency for multi-region deployments.
SaaS platforms, financial systems, and multi-region applications requiring automatic failover and scaling
PostgreSQL
Open-source relational database system with advanced features and enterprise reliability.
Traditional web applications, data warehouses, and organizations prioritizing cost and SQL feature richness
Short Answer
CockroachDB is a distributed SQL database designed for horizontal scaling and high availability across multiple nodes, while PostgreSQL is a traditional single-node relational database that excels in ACID compliance and feature richness. PostgreSQL requires manual replication setup for multi-node deployments, whereas CockroachDB has built-in distributed architecture.
Our Verdict
AI-assistedChoose CockroachDB if you need automatic horizontal scaling, multi-region deployment, and built-in high availability without operational overhead—ideal for cloud-native applications handling distributed data. Choose PostgreSQL if you need the lowest cost, maximum single-node performance, the broadest ecosystem of extensions, and deepest SQL feature support for traditional application architectures.
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Choose CockroachDB if
SaaS platforms, financial systems, and multi-region applications requiring automatic failover and scaling
Choose PostgreSQL if
👑 Best pickTraditional web applications, data warehouses, and organizations prioritizing cost and SQL feature richness
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Key Differences at a Glance
Key Facts & Figures
64 numeric metrics compared
| Metric | CockroachDB | PostgreSQL | Ratio |
|---|---|---|---|
| Single-Node Write Throughput(writes/sec) | 18,000 writes/sec | 35,000 writes/sec | -49% |
| Minimum Cluster Size(nodes) | 3 nodes recommended | 1 (single instance) | +200% |
| Multi-Region Failover Time (RTO)(seconds) | 15 seconds automatic | Manual, typically 5-15 minutes | — |
| PostgreSQL SQL Compatibility(percent) | 90% compatible | 100% (native) | -10% |
| Self-Hosted Cost (Base)(USD/month) | $0 (open-source) | $0 (open-source) | |
| GitHub Stars(stars) | 30k+ stars | 3,500+ stars | -99% |
| Production Maturity (Years Active)(years) | 8+ years | 25+ years | -68% |
| Minimum Monthly Cost (Production)(USD) | $0 (self-hosted) / $29 (managed) | $20-50 (cloud VM minimum) | -17% |
| Setup Time to Production(days) | 12-48 hours (self-hosted) / 2-4 hours (managed) | — | — |
| Replication Latency(milliseconds) | 10-100ms (multi-region) | — | — |
| Query Performance (Cold Start)(milliseconds) | 20-50ms average | — | — |
| Starting Monthly Cost(USD) | $1,950 | — | — |
| PostgreSQL Compatibility(percentage) | ~80% of PostgreSQL queries | — | — |
| Read Latency (Average)(ms) | <50ms | — | — |
| RPO (Recovery Point Objective)(seconds) | <5 seconds | — | — |
| Free Tier Storage(GB) | 0 (paid only) | — | — |
| Time to Production Deploy(hours) | 2-4 hours (requires cluster setup) | — | — |
| Monthly Cost (1TB storage, 1 node)(USD) | $1,500-$2,000 | — | — |
| Recovery Point Objective (RPO)(seconds) | < 5 seconds | — | — |
| Regional Failover Time(seconds) | 2-5 seconds | — | — |
| Maximum Database Size(GB) | Unlimited (distributed) | Unlimited (petabyte+ capable) | — |
| Supported Regions(count) | 40+ regions (multi-cloud) | — | — |
| SQL Dialect Compatibility(PostgreSQL %) | 95% PostgreSQL compatible | — | — |
| Minimum Production Cost(USD/month) | $29 | — | — |
| License Cost (Annual, Small Enterprise)(USD) | $24,000-$300,000 | $0 | |
| Multi-Region Write Latency(ms) | 45-65ms | — | — |
| Postgres SQL Compatibility(%) | 95% | — | — |
| Minimum Production Cluster Size(nodes) | 3 nodes | — | — |
| Free Tier Node Limit(nodes) | 3 nodes | — | — |
| Enterprise Tier Starting Price(USD/month) | $10,000/month | — | — |
| Read-Only Replica Setup Time(minutes) | 8-12 minutes | — | — |
| Maximum Cluster Size(petabytes) | 1,000+ nodes | — | — |
| Consistency Models Supported(count) | 1 (strong only) | — | — |
| MySQL Compatibility(percentage) | Partial (~60%) | — | — |
| Base Monthly Cost (Serverless)(USD) | $0 (pay-per-use from $0.01/hour) | — | — |
| Typical Monthly Cost (1M reads)(USD) | $15-25 (RU-based) | — | — |
| Read Latency (Single Region)(milliseconds) | 2-5ms p99 | — | — |
| Simple Query Throughput(queries/sec) | ~25,000 (PostgreSQL 18) | ~25,000 (PostgreSQL 18) | |
| Complex Join Performance(ms response time) | ~320 (5-table join) | ~320 (5-table join) | |
| Base Memory Footprint(MB) | ~150 (minimal config) | ~150 (minimal config) | |
| AWS RDS Managed Cost($/month (db.t3.micro, single-AZ)) | $15.25 (PostgreSQL 18) | $15.25 (PostgreSQL 18) | |
| Supported Versions (2026)(major versions) | 5 (14-18 active) | 5 (14-18 active) | |
| Replication Lag (typical)(ms) | 10-100 (WAL) | 10-100 (WAL) | |
| Monthly Base Cost (Small Instance)(USD) | $0 (infrastructure cost only) | $0 (infrastructure cost only) | |
| Write Throughput (bulk inserts)(documents/second) | 15,000-25,000 docs/sec | 15,000-25,000 docs/sec | |
| Query Language Complexity (learning curve)(months) | 1-2 months (SQL standardized, widely taught) | 1-2 months (SQL standardized, widely taught) | |
| Memory Usage (100K documents)(MB) | 150-200 MB | 150-200 MB | |
| Index Types Supported(count) | 20+ (B-tree, hash, BRIN, GiST, partial indexes) | 20+ (B-tree, hash, BRIN, GiST, partial indexes) | |
| Minimum Memory Requirement(MB) | ~50 MB | ~50 MB | |
| Maximum Concurrent Connections(connections) | 1,000+ | 1,000+ | |
| Setup Time (Fresh Installation)(minutes) | 30-60 minutes | 30-60 minutes | |
| Max Write Throughput (Optimized)(writes/second) | ~10,000 (single node) | ~10,000 (single node) | |
| Storage Overhead (vs Equivalent Relational)(multiple) | 1x baseline (normalized) | 1x baseline (normalized) | |
| Community Size & Ecosystem(GitHub stars (thousands)) | ~15k stars | ~15k stars | |
| Typical Setup Complexity(time to production (hours)) | 2-4 hours (widely supported, simpler setup) | 2-4 hours (widely supported, simpler setup) | |
| Time to Production(minutes) | 120-1440 minutes (self-hosted) | 120-1440 minutes (self-hosted) | |
| Built-in Authentication Methods(methods) | 0 (requires third-party) | 0 (requires third-party) | |
| Minimum Monthly Cost(USD) | $0 (open-source) | $0 (open-source) | |
| Production Tier Monthly Base Cost(USD) | $0 (self-hosted only) | $0 (self-hosted only) | |
| Time to Deploy Production Database(minutes) | 240-1440 minutes (4-24 hours) | 240-1440 minutes (4-24 hours) | |
| Monthly Cost (100 GB, moderate traffic)(USD) | $50-200+ (self-hosted infrastructure) or $100-500 (managed provider) | $50-200+ (self-hosted infrastructure) or $100-500 (managed provider) | |
| Available PostgreSQL Extensions(count) | 500+ (all available from PostgreSQL ecosystem) | 500+ (all available from PostgreSQL ecosystem) | |
| Cold Start Latency(seconds) | 0 seconds (always running) | 0 seconds (always running) | |
| Community Size & Support(user base estimate) | 10,000,000+ deployments globally | 10,000,000+ deployments globally |
Sourced from publicly available data · Jun 2026
Key Differences
7 attributes compared head-to-head
CockroachDB
Distributed multi-node by design🏆
PostgreSQL
Single-node with optional replication
CockroachDB
Built-in with Raft consensus🏆
PostgreSQL
Requires external tools (pg_basebackup, replication slots)
CockroachDB
5-15% slower than PostgreSQL
PostgreSQL
Optimized for single-node workloads🏆
CockroachDB
Full ACID with distributed transactions🏆
PostgreSQL
Limited to single node; requires external logic for multi-node
CockroachDB
$2,000-$25,000/month (enterprise)
PostgreSQL
Free (open-source, BSD license)🏆
CockroachDB
30 minutes with automation🏆
PostgreSQL
2-4 hours with manual configuration
CockroachDB
95% PostgreSQL compatible
PostgreSQL
Industry-standard SQL implementation🏆
Full Comparison
| Attribute | CockroachDB | PostgreSQL |
|---|---|---|
| Single-Node Write Throughput(writes/sec) | 18,000 writes/sec | 35,000 writes/sec |
| Replication Latency(milliseconds) | 10-100ms (multi-region) | — |
| Query Performance (Cold Start)(milliseconds) | 20-50ms average | — |
| Read Latency (Average)(ms) | <50ms | — |
| Multi-Region Write Latency(ms) | 45-65ms | — |
Show 11 more attributesRead Latency (Single Region)(milliseconds) 2-5ms p99 — Simple Query Throughput(queries/sec) ~25,000 (PostgreSQL 18) — Complex Join Performance(ms response time) ~320 (5-table join) — Replication Lag (typical)(ms) 10-100 (WAL) — Write Throughput (bulk inserts)(documents/second) 15,000-25,000 docs/sec — Memory Usage (100K documents)(MB) 150-200 MB — Minimum Memory Requirement(MB) ~50 MB — Maximum Concurrent Connections(connections) 1,000+ — Max Write Throughput (Optimized)(writes/second) ~10,000 (single node) — Auto-scaling Response Time(seconds) Manual; requires 5-60 minutes intervention — Cold Start Latency(seconds) 0 seconds (always running) — | ||
| Horizontal Scalability | Native automatic distribution | Manual sharding required |
| Minimum Cluster Size(nodes) | 3 nodes recommended | 1 (single instance) |
| Read-Only Replica Setup Time(minutes) | 8-12 minutes | — |
| Multi-Region Failover Time (RTO)(seconds) | 15 seconds automatic | Manual, typically 5-15 minutes |
| Multi-region Support(regions) | Native support, unlimited regions | — |
| PostgreSQL SQL Compatibility(percent) | 90% compatible | 100% (native) |
| PostgreSQL Compatibility(percentage) | ~80% of PostgreSQL queries | — |
| SQL Dialect Compatibility(PostgreSQL %) | 95% PostgreSQL compatible | — |
| Postgres SQL Compatibility(%) | 95% | — |
| MySQL Compatibility(percentage) | Partial (~60%) | — |
| Self-Hosted Cost (Base)(USD/month) | $0 (open-source) | $0 (open-source) |
| Minimum Monthly Cost (Production)(USD) | $0 (self-hosted) / $29 (managed) | $20-50 (cloud VM minimum) |
| Starting Monthly Cost(USD) | $1,950 | — |
| Free Tier Storage(GB) | 0 (paid only) | — |
| Monthly Cost (1TB storage, 1 node)(USD) | $1,500-$2,000 | — |
Show 9 more attributesFree Tier Storage Limit(GB) Shared compute resources — Free Tier Node Limit(nodes) 3 nodes — Enterprise Tier Starting Price(USD/month) $10,000/month — Base Monthly Cost (Serverless)(USD) $0 (pay-per-use from $0.01/hour) — Typical Monthly Cost (1M reads)(USD) $15-25 (RU-based) — Monthly Base Cost (Small Instance)(USD) $0 (infrastructure cost only) — Minimum Monthly Cost(USD) $0 (open-source) — Production Tier Monthly Base Cost(USD) $0 (self-hosted only) — Monthly Cost (100 GB, moderate traffic)(USD) $50-200+ (self-hosted infrastructure) or $100-500 (managed provider) — | ||
| GitHub Stars(stars) | 30k+ stars | 3,500+ stars |
| Production Maturity (Years Active)(years) | 8+ years | 25+ years |
| Setup Time to Production(days) | 12-48 hours (self-hosted) / 2-4 hours (managed) | — |
| Supported Concurrent Connections(connections) | Unlimited (distributed) | — |
| Compute Scaling Model(Type) | Always-on clusters with manual scaling | — |
| Maximum Database Size(GB) | Unlimited (distributed) | Unlimited (petabyte+ capable) |
| Minimum Production Cluster Size(nodes) | 3 nodes | — |
| Maximum Cluster Size(petabytes) | 1,000+ nodes | — |
Show 2 more attributesNative Horizontal Scaling No (requires partitioning/third-party) — Maximum Connections(concurrent connections) Unlimited (hardware-dependent) — | ||
| Built-in Real-Time Features(boolean) | No (requires integration) | — |
| Multi-Region Active-Active Support(boolean) | Yes (native) | — |
| Consistency Models Supported(count) | 1 (strong only) | — |
| Multi-Region Built-in(boolean) | Yes (automatic replication) | — |
| Transaction Support(consistency level) | Full ACID (serializable isolation) | — |
Show 9 more attributesJSON Query Capability JSONB with full indexing — Full-Text Search Comprehensive native support — Time-Series Optimization TimescaleDB extension native — Index Types Supported(count) 20+ (B-tree, hash, BRIN, GiST, partial indexes) — Query Language Complexity Support(capability level) Full SQL with unlimited JOIN depth and CTEs — Built-in Authentication Methods(methods) 0 (requires third-party) — Real-time Subscriptions Support(native support) Not native - requires extensions — Database Branching Capability Not built-in — Auto-Scaling Support Manual or third-party tools required — | ||
| RPO (Recovery Point Objective)(seconds) | <5 seconds | — |
| Time to Production Deploy(hours) | 2-4 hours (requires cluster setup) | — |
| Time to Deploy Production Database(minutes) | 240-1440 minutes (4-24 hours) | — |
| Recovery Point Objective (RPO)(seconds) | < 5 seconds | — |
| Regional Failover Time(seconds) | 2-5 seconds | — |
| ACID Compliance Level | Complete (all operations) | — |
| Multi-row/Document Transactions(null) | Full multi-statement ACID | — |
| Automatic Daily Backups(boolean) | Not included - manual setup required | — |
| Supported Regions(count) | 40+ regions (multi-cloud) | — |
| Open Source License(null) | BSL → Apache 2.0 (4-year conversion) | — |
| Minimum Production Cost(USD/month) | $29 | — |
| License Cost (Annual, Small Enterprise)(USD) | $24,000-$300,000 | $0 |
| AWS RDS Managed Cost($/month (db.t3.micro, single-AZ)) | $15.25 (PostgreSQL 18) | — |
| Base Memory Footprint(MB) | ~150 (minimal config) | — |
| Vector Similarity Support | Native pgvector | — |
| Supported Versions (2026)(major versions) | 5 (14-18 active) | — |
| Enterprise Support Availability | EDB, multiple vendors | — |
| Enterprise Support(null) | Free open-source; commercial support available | — |
| Schema Flexibility | Rigid, requires ALTER TABLE migrations | — |
| Query Language Complexity (learning curve)(months) | 1-2 months (SQL standardized, widely taught) | — |
| Setup Time (Fresh Installation)(minutes) | 30-60 minutes | — |
| ACID Transaction Support(boolean) | Full compliance, all operations | — |
| Storage Overhead (vs Equivalent Relational)(multiple) | 1x baseline (normalized) | — |
| Schema Enforcement | Required (schema-on-write) | — |
| Community Size & Ecosystem(GitHub stars (thousands)) | ~15k stars | — |
| Typical Setup Complexity(time to production (hours)) | 2-4 hours (widely supported, simpler setup) | — |
| Time to Production(minutes) | 120-1440 minutes (self-hosted) | — |
| Vendor Lock-in Risk(risk level) | Zero - 100% portable SQL | — |
| Data Portability(complexity rating) | Trivial (native format, zero lock-in) | — |
| Supported Concurrent Connections (Free Tier)(connections) | Unlimited (depends on installation) | — |
| Maximum Storage (Base Plan)(GB) | Unlimited (hardware dependent) | — |
| Supported Geographic Regions(count) | Unlimited (self-hosted) | — |
| Point-in-Time Recovery Retention(days) | Customizable via WAL archiving | — |
| Available PostgreSQL Extensions(count) | 500+ (all available from PostgreSQL ecosystem) | — |
| Community Size & Support(user base estimate) | 10,000,000+ deployments globally | — |
PostgreSQLShow 11 more attributes
Show 9 more attributes
Show 2 more attributes
Show 9 more attributes
Visual Comparison
Side-by-side comparison of numeric attributes
Pros & Cons
10 pros·4 cons across both
CockroachDB
Pros
- Automatic multi-region failover with Raft consensus—no manual intervention required
- Horizontal scalability: linearly increases throughput by adding nodes
- Built-in ACID transactions across distributed clusters without application-level coordination
- Zero-downtime upgrades and rolling updates without stopping the cluster
- Google Cloud, AWS, and Azure cloud-native integration with auto-scaling
Cons
- 5-15% performance penalty on single-node deployments compared to PostgreSQL
- Enterprise license costs $2,000-$25,000/month; open-source version has operational limitations
PostgreSQL
Pros
- Completely free and open-source (BSD license)—no licensing fees
- 5-15% faster single-node performance optimized for traditional workloads
- 1,200+ community extensions for specialized functionality (PostGIS, jsonb, full-text search, etc.)
- Industry-leading SQL standard compliance with window functions, CTEs, and advanced JSON support
- Mature ecosystem with 28+ years of production use and extensive documentation
Cons
- Replication requires manual setup using streaming replication, logical replication, or third-party tools like Patroni
- No built-in horizontal scaling—requires application-level sharding for multi-node write workloads
Frequently Asked Questions
5 questions
Yes, CockroachDB maintains 95% PostgreSQL compatibility, so most applications can migrate with minimal code changes. Use logical replication or Cockroach's built-in data migration tools. However, you'll need to rewrite custom PL/pgSQL functions and extensions that CockroachDB doesn't support natively. Migration typically takes 2-6 weeks for moderate complexity applications.
Yes. PostgreSQL is free (open-source), while CockroachDB's enterprise edition costs $2,000-$25,000 monthly depending on cluster size and support tier. However, CockroachDB eliminates operational costs for multi-region replication and high-availability infrastructure that would require third-party solutions with PostgreSQL (e.g., Patroni, PgBouncer, managed services). For high-scale distributed systems, CockroachDB's total cost of ownership can be lower due to reduced engineering overhead.
PostgreSQL is typically better for early-stage startups because it's free, has lower operational complexity for single-region deployments, and doesn't require distributed systems expertise. Migrate to CockroachDB when you need multi-region availability or when operational costs of PostgreSQL replication exceed the licensing cost of CockroachDB (usually at 5+ million daily active users).
Yes, CockroachDB supports full ACID transactions across distributed clusters using its distributed transaction protocol. PostgreSQL only supports ACID transactions within a single node; multi-node transactions require application-level logic, eventual consistency patterns, or external saga orchestration. This is a major architectural advantage for CockroachDB in distributed systems.
For single-node workloads, PostgreSQL is 5-15% faster due to optimization for monolithic deployments. For multi-node clusters, CockroachDB scales linearly—adding 3 nodes increases write throughput 3x, while PostgreSQL's replication adds minimal read scaling and zero write scaling. Choose based on your topology: PostgreSQL for monolithic apps, CockroachDB for distributed/multi-region architectures.
Resources & Learn More
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