Built for continuous data streams
CrateDB is optimized for nonstop ingestion. Data flows in from devices, applications, or brokers without buffering delays or write contention. Its shared-nothing architecture ensures that every node contributes to write performance, balancing the load automatically across the cluster.
Key advantages:
- Ingest millions of records per second per cluster
- Write and query in parallel
- Maintain high throughput under unpredictable workloads
Horizontal scalability without limits
Scaling ingestion with CrateDB is simple: just add nodes. The system automatically redistributes shards and balances data, so performance grows linearly with capacity.
Why it matters:
- Zero downtime when scaling up
- No manual rebalancing
- Predictable performance even at massive scale
Optimized for real-time analytics
Unlike traditional databases that separate ingestion from analytics, CrateDB handles both simultaneously. Data is indexed on the fly and query-ready within seconds, enabling real-time dashboards, alerts, and AI pipelines to stay continuously up to date.
Use cases:
- Industrial IoT monitoring and telemetry
- Log and event stream analysis
- High-frequency financial or operational data processing
Distributed by design
CrateDB’s distributed SQL engine ingests data in parallel across all nodes, eliminating single points of failure and avoiding write bottlenecks. Combined with automatic sharding and replication, this ensures resilience, consistency, and sustained throughput, even under heavy ingestion loads.
Key benefits:
- Fault-tolerant ingestion
- Always-on availability
- Consistent write performance at any scale
Why choose CrateDB for high-throughput ingestion
| Traditional databases | CrateDB’s distributed ingestion engine |
|---|---|
| Centralized writes limit performance | Distributed, parallel ingestion |
| Requires batch pipelines or caching | Continuous streaming ingestion |
| Downtime for scaling or rebalancing | Always-on horizontal scalability |
