CockroachDB
The cloud-native, Postgres-compatible database built for zero downtime, effortless scale, and data placement control.
Overview
CockroachDB is a distributed SQL database that provides a resilient, scalable, and consistent data layer for modern applications. It is designed to run mission-critical applications that demand zero downtime and effortless scaling, making it ideal for scenarios where data availability and integrity are paramount. Its architecture allows it to survive disk, machine, rack, and even datacenter failures with minimal impact on operations. The database maintains strong consistency across all nodes, ensuring that transactions are always accurate and reliable, even in a distributed environment. With its PostgreSQL compatibility, developers can use familiar SQL queries, drivers, and ORMs, reducing the learning curve and accelerating development. CockroachDB also offers advanced features like multi-region deployments and geo-partitioning, enabling businesses to control data placement for compliance, performance, and disaster recovery.
Pricing
Basic
- 50 million RUs and 10 GiB storage free per month
- On-demand compute and storage that scales to zero
- AWS and GCP multi-region support for select regions
- IP allowlist access control
- 99.99% availability
- Request units based, first 50 million RUs free per month
- Up to 3 TiB, first 10 GiB free per month
- 99.99% Uptime SLA
- AWS and GCP Cloud availability
- Automatic 3x data replication
- Multi-region support
- Technical support, professional services, training content
- No-downtime version upgrades
- Automated major and minor upgrades
- On-demand, scales down to zero Compute scaling
- On-demand storage Storage scaling
- Multi-region
- Data domiciling
- Role-based access control
- Console single sign-on
- Encrypted data in motion
- Flexible RPO and retention for managed backups
- Change data capture
- APIs and Terraform support
- Monitoring and alerting integrations for metrics and logs (e.g., Datadog, Splunk, Dynatrace, New Relic)
- Intelligent insights
Standard
- Provisioned compute with instant scaling up to 200 vCPUs, and on-demand storage
- AWS and GCP multi-region support for select regions
- Private connectivity
- Metrics and log export to DataDog
- 99.99% availability
- vCPU based, up to 200 vCPUs
- Up to 3 TiB
- 99.99% Uptime SLA
- AWS and GCP Cloud availability
- Automatic 3x data replication
- Multi-region support
- Technical support, professional services, training content
- No-downtime version upgrades
- Customer-scheduled major upgrades.
- Automated minor upgrades.
- Provisioned compute with instant scaling Compute scaling
- On-demand storage Storage scaling
- Multi-region
- Data domiciling
- Role-based access control
- Console single sign-on
- Encrypted data in motion
- Private connectivity (PrivateLink, Private Service Connect)
- Flexible RPO and retention for managed backups
- Change data capture
- Enterprise changefeeds
- APIs and Terraform support
- Monitoring and alerting integrations for metrics and logs (e.g., Datadog, Splunk, Dynatrace, New Relic)
- Intelligent insights
Pros & Cons
Pros
- Exceptional fault tolerance and data survivability due to distributed architecture
- Seamless horizontal scaling to handle increasing workloads without manual sharding
- PostgreSQL compatibility simplifies migration and development for existing Postgres users
- Global data distribution and geo-partitioning for low-latency access and compliance
- Automated data rebalancing and repair reduces operational overhead
- Strong consistency guarantees (ACID transactions) across distributed nodes
- Designed for mission-critical applications requiring continuous uptime
Cons
- Can be more complex to set up and manage than traditional single-node databases for small projects
- Higher resource consumption compared to simpler databases due to its distributed nature
- Learning curve for optimizing queries and understanding distributed transaction behavior
- Cost can be higher for smaller scale deployments compared to open-source alternatives
- Performance might not always match highly optimized single-node databases for certain workloads
- Limited support for some advanced PostgreSQL features or extensions
Use Cases
Reviews & Ratings
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Best For
- Global payment systems requiring high availability and low latency
- User account management and identity services (IAM)
- Real-time logistics and supply chain applications
- Financial services platforms needing strong consistency and disaster recovery
- E-commerce platforms with fluctuating traffic and global user bases
- Gaming backends requiring massive scale and continuous uptime
- Any mission-critical application where downtime is unacceptable
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