Simple, Powerful, Reactive
Write SQL queries that automatically update when data changes
-- Create a real-time stream
CREATE STREAM user_events (
user_id INT,
action VARCHAR,
timestamp TIMESTAMP
);
-- Query with automatic reactivity
SELECT user_id, COUNT(*) as actions
FROM user_events
WHERE timestamp > NOW() - INTERVAL '1 hour'
GROUP BY user_id;
Real-time Updates
Queries automatically refresh when underlying data changes
Streaming Support
Native support for continuous data streams and event processing
Standard SQL
Use familiar SQL syntax with powerful extensions
Why ReifyDB?
Built from the ground up for modern data applications
Blazing Fast
Optimized for analytical workloads with columnar storage and vectorized execution
Zero Dependencies
Single binary with no external dependencies. Deploy anywhere, from edge to cloud
Real-time Reactive
Automatic query updates when data changes. Perfect for dashboards and live analytics
Cloud Native
Built for modern cloud architectures with native support for object storage
SQL Compatible
PostgreSQL-compatible SQL with extensions for streaming and time-series data
Open Source
MIT licensed with a vibrant community. Contribute, fork, or embed freely
Use Cases
ReifyDB powers a wide range of applications
Real-time Analytics
Build dashboards that update instantly as new data arrives
Stream Processing
Process continuous data streams with SQL queries
Edge Computing
Deploy at the edge with minimal resource requirements
Time-Series Data
Efficiently store and query time-series data
Get Started in Seconds
Choose your preferred installation method
Docker
docker run -p 8090:8090 reifydb/reifydb
Homebrew
brew install reifydb
Cargo
cargo install reifydb
Join the Community
Get help, share ideas, and contribute to ReifyDB
