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DATABASE DEVELOPER PATH

Microsecond ACID transactions with SQL you know

Full serializable isolation at in-memory speed. Familiar SQL and stored procedures. Replace your PostgreSQL + Redis stack and eliminate cache consistency bugs forever.

<10ms
Query latency (p95)
100%
ACID compliant
1million+
Transactions per second
Start the Quick Start → See architecture
How it works: your app sends SQL/JDBC requests to VoltDB — stored procedures with in-memory ACID — returning results in under 10 ms end to end. No cache layer, 99.999% uptime.
VoltDB cluster architecture diagram

PostgreSQL + Redis vs. Volt

Why adding a cache layer creates more problems than it solves.

Capability PostgreSQL + Redis Volt
Read Latency (p99) 5 ms to 50 ms <10 ms
Write Latency 10 ms to 100 ms <2 ms
Cache Consistency Eventual (stale reads) Serializable (always fresh)
Components to Manage 3+ (PG, Redis, app sync) 1 (Volt)
Horizontal Scaling Read replicas + sharding Auto-partitioning
Failure Recovery Failover + cache warm-up XDCR, instant recovery
<10ms latency
Sub-millisecond reads and writes vs. the multi-millisecond floor of PostgreSQL + Redis round-trips.
0 cache invalidation bugs
No stale reads. No write-through race conditions. No cache warm-up after failover. The consistency problem disappears.
50% hardware reduction
Eliminate Redis, eliminate the sync logic, eliminate the operational overhead. One system does the job of three on half the footprint.

WHAT YOU CAN BUILD

Database use cases

High-performance transactional workloads that Volt handles natively.

Volt Active Data Architecture
◷ 4:00 Architecture Overview Volt Active Data
WATCH & LEARN

Why Volt is not just another database

Designed by Turing Award winner Dr. Michael Stonebraker, Volt uses a shared-nothing, partition-per-core architecture that delivers serializable ACID isolation at in-memory speeds. No locks. No latches. No compromises.

This video covers how partitioned stored procedures execute without contention, how XDCR replication delivers 99.999% uptime, and why the PostgreSQL + Redis pattern introduces consistency bugs that Volt eliminates by design.

More video tutorials →

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