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Build real-time decisions at any scale

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.

quickstart.sql
-- 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 ✓

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Three guided paths designed for your use case. Each one takes you from setup to a working application in under 5 minutes.

Volt Active Data Architecture
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Kafka Decisioning

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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Apache Kafka Confluent AWS Azure Google Cloud Grafana Datadog Prometheus MCP Protocol Kubernetes Docker JDBC / ODBC SQL Java C++ Backend Python Go

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