CrateDB
Distributed SQL database for real-time analytics at any scale
Founded
N/A
Starting Price
Free
Category
Developer Tools
Last updated March 5, 2026
About CrateDB
CrateDB is a distributed SQL database engineered for real-time analytics on high-velocity data streams. It combines fast ingestion with millisecond query latency, handling complex aggregations, joins, hybrid search, and AI feature queries across time-series, JSON, geospatial, and vector data types in a unified SQL engine. Designed for enterprises managing massive volumes of machine-generated data from IoT sensors to application logs.
Pros & Cons
Pros
- Exceptional ingestion speed processing millions of events per second
- Familiar PostgreSQL-like SQL syntax eliminates learning curve
- Replaces multiple specialized databases with one unified platform
- Millisecond latency on complex aggregations and ad-hoc joins
- Cost-effective compared to maintaining separate databases for logs, metrics, and search
Key Features
Real-Time Analytics
Ingest and query high-velocity data streams with millisecond latency
Multi-Data Type Support
Query time-series, JSON, geospatial, text, and vector data in one engine
PostgreSQL Compatible
Works with Grafana, Tableau, Datadog, and standard PostgreSQL tooling
Schema Flexibility
Add new fields and dimensions without downtime or schema redesign
Full-Text & Vector Search
Unified analytics, search, and AI feature extraction in one system
Automatic Indexing
Built-in replication and automatic indexing for predictable performance
High-Cardinality Support
Analyze data across any dimension without performance degradation
Flexible Deployment
Pricing
Free
Free/month
- Shared environment
- Up to 8 shared vCPUs
- Up to 1 TB storage
- Daily backups
Dedicated
$180
Best For
IoT & Industrial Analytics
Monitor sensor data from devices, machinery, and infrastructure in real time
Real-Time Log Analytics
Process millions of log events per second for instant operational insights
Observability & Monitoring
Time-series metrics, traces, and logs for application performance monitoring
