Volt Active Data (formerly VoltDB) is an in-memory database designed by Michael Stonebraker, Sam Madden, and Daniel Abadi.

While direct SQL access is supported,[4] the most efficient form of interaction is using stored procedure calls,[5] as it involves fewer network trips.

[6] VoltDB relies on horizontal partitioning down to the individual hardware thread to scale, k-safety (synchronous replication) to provide high availability, and a combination of continuous snapshots and command logging for durability (crash recovery).

By extending its shared-nothing foundation to the per-core level, VoltDB scales with the increasing core-per-CPU counts on multi-core servers.

By making stored procedures the unit of transaction and executing them at the partition containing the necessary data, it is possible to eliminate round trip messaging between SQL statements.

VMC provides browser-based one-stop monitoring and configuration management of the VoltDB database, including graphs for cluster throughput and latency as well as CPU and memory usage for the current server.

VoltDB version 5.1, released in March 2015, introduced database replication (DR) functionality, removing any single point of failure.

released July 28, 2017 introduced the kafkaloader, for consuming streaming events from Kafka directly into a database table or into a stored procedure for processing.

V8.2[16] (July 12, 2018) introduced the TTL feature that allows applications to define a "time to live" on timestamp column in a table.