Volt Active Data gives you sub-millisecond ACID transactions, native Kafka integration, and an MCP server for AI agents. Go from first query to production in minutes.
-- Real-time transactions, partitioned by account CREATE TABLE transactions ( account_id BIGINT NOT NULL, amount DECIMAL, txn_time TIMESTAMP NOT NULL ); PARTITION TABLE transactions ON COLUMN account_id; -- Spend velocity for one account over the last 5 minutes -- (catch many small charges adding up to a big spend) CREATE PROCEDURE AccountSpend5Min PARTITION ON TABLE transactions COLUMN account_id AS SELECT COUNT(*) AS txns, SUM(amount) AS total FROM transactions WHERE account_id = ? AND txn_time > DATEADD(MINUTE, -5, NOW); -- Score one account in a single-partition call EXEC AccountSpend5Min 42; -- Latency: 2.3ms ✓
Under the hood
Clients on the left, partitioned in-memory transactions in the core, streams and exports on the right. Click the diagram to open the interactive explorer and zoom into any component.
CHOOSE YOUR PATH
Three guided paths designed for your use case. Each one takes you from setup to a working application in under 5 minutes.
Connect Volt to your Kafka cluster and make real-time decisions on streaming data. Replace custom stateful services with stored procedures that execute in under 5ms.
Get microsecond-to-millisecond latency with full ACID guarantees. Use familiar SQL and stored procedures. Eliminate the PostgreSQL + Redis complexity.
Connect any MCP-capable agent to Volt's native MCP server. Ground answers in live, transactional data — and let agents act on it with ACID guarantees.
Collapse your pipeline into a single transactional layer by mapping Kafka topics directly to Volt stored procedures. This architecture handles ingestion, storage, and logic in one atomic step, delivering predictable <10ms latency at 1 million+ TPS while eliminating complex consumer-side state and "read-modify-write" cycles.
Enforcing strict ACID compliance at the point of ingestion, preventing race conditions like double-booking or over-provisioning. Achieve exactly-once semantics and total consistency across your Kafka streams without the overhead of external caches or manual offset management.
More Data in Charge video tutorials →ECOSYSTEM
Volt integrates with the tools and platforms you already use.
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