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 ✓
CHOOSE YOUR PATH
Two 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.
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.
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