Fresh data for agents and analytics. Every query on one copy.
Built-in ETL and incremental computation, with SQL analytics, full-text search, and vector search in one warehouse on S3.
docker run -p 8000:8000 datafuselabs/databendContinuous Ingest
Incremental ETL
Agents & Analytics
CREATE TASK ingest_events
WAREHOUSE = 'etl' SCHEDULE = 1 MINUTE
AS COPY INTO raw_events
FROM @s3_events
FILE_FORMAT = (TYPE = NDJSON);
From raw events to data ready for agents and analytics
Databend combines high-performance ingestion and incremental ETL to keep data fresh and organized, ready for SQL analytics, full-text search, and vector search with less compute and engineering overhead.
Ingest at scale, as data arrives
High-throughput loads from databases, Kafka, and S3.
ETL pipelines inside the warehouse
Build multi-step pipelines in SQL with Task Flow, including dependencies, schedules, run history, and rollback.
Compute only what changed
Streams track new and changed rows. Tasks process only those changes, without rescanning history.
SQL, search, and vectors together
Run interactive analytics, full-text search, and vector search on the same fresh tables. Agents connect through MCP.
Ingests data. Computes what changed. Serves agents and analytics.
One engine for ingestion, ETL, SQL analytics, full-text search, and vector search.
Instant On. Always Ready.
Stateless architecture, zero cold start
Benchmarked vs Snowflake Standard
HA services with cross-region failover
Security Built In
Access Control
Fine-grained permissions
- RBAC + DAC
- Masking Policy
- Network Policy
Encryption
End-to-end protection
- TLS 1.2 everywhere
- Storage encryption
- AWS PrivateLink
Compliance
Industry certifications
- SOC 2 Type II
- GDPR compliant
- Regular audits
Observability
Full visibility into operations
- Query audit logs
- Real-time monitoring
- Anomaly detection
Connect Your Way
Works with What You Use
50+ integrations across your entire data stack.
RDBMS
Streams & Orchestrators
Data Lake Formats
Cloud Storage
Visualizations
Languages & Drivers
RDBMSStreams & OrchestatorsData Lake Formats
Cloud StorageVisualizations Languages & Drivers
