Engineered for developers who demand speed, scale, and simplicity in their data layer.
Automatic query caching, indexing, and connection pooling for improved throughput and latency.
Execute complex queries with ACID compliance. VortexDB supports both SQL and NoSQL patterns.
Run computations directly in the database with stored procedures. Skip application-layer work and reduce network hops.
Scale horizontally using intuitive configuration. Supports automatic failover and geo-distribution.
Subscribe to change feeds and stream updates instantly to your UI with WebSocket integration.
Connect from any stack with official clients for TypeScript, Python, Go, and Rust.
Expose secure REST/GraphQL interfaces without additional middleware.
Intercept and optimize queries with plugins for auth, rate-limiting, and query rewriting.
Combine server-side and client-side processing for flexible workloads.
VortexDB leverages battle-tested open-source technologies and cutting-edge research to deliver a production-ready data platform. Every layer is optimized for reliability.
Columnar memory format for zero-copy data interchange between VortexDB and modern data tools like Pandas and PySpark.
Distributed key-value store (modified) that delivers ACID transactions at global scale.
Execute user-defined functions at native speed, directly within the database process.
VortexDB offers pre-configured deployment packages for common use cases, optimized for rapid onboarding.
Jumpstart your project with our production-ready templates and community solutions.
A lightweight configuration for prototyping and small-scale apps.
Pre-tuned for high-concurrency product catalogs and checkout flows.
Optimized schema and indexing for IoT/analytics workloads.
Integrated vector search and ML pipeline templates.
