VoltDB
VoltDB: A strong fit for low-latency SQL workloads that need transactions, persistence, and replication. Ranked #10 of 24 in In-Memory Databases by our editors (8.2/10); pricing: Pricing on request; best for real-time transactional SQL workloads.
At a glance
- Editor score8.2 / 10
- PricingPricing on request
- Best forReal-time transactional SQL workloads
- Free planNo
- DeploymentBoth
- Founded2009 · Burlington, Massachusetts, United States
- Facts checked20 Sep 2026
Where it wins
- Serializable ACID transactions with stored procedures
- Synchronous and cross-datacenter replication
- Kafka integration with streaming analytics capabilities
Where it doesn't
- Pricing is sales-led rather than transparently published
- Designed for specialized real-time workloads, not general-purpose use
- Deployment focuses on Linux, APIs, and self-hosted environments
Our verdict on VoltDB
VoltDB is an in-memory relational database and real-time data platform for applications that process streaming events and transactions with low latency. It is aimed at enterprise workloads in telecommunications, financial services, gaming, advertising technology, manufacturing, energy, and IoT. The platform combines SQL querying, schema definition, serializable ACID transactions, stored procedures, clustering, persistence, and synchronous redundancy. It supports both relational and JSON document-relational schemas, with SQL joins for applications that need structured and semi-structured data together.
Pricing is sales-led, with no conventional numeric paid-plan price published. The available engagement paths cover different evaluation and adoption needs. Developer Edition supports local or cloud setup and includes sample applications, tutorials, documentation, and no infrastructure requirement. Stream to Decision Trial adds a Kafka stream connection, pre-built Docker templates, and evaluation of performance, latency, and logic. Guided Engagement provides collaboration with Volt engineers, a full-featured deployment, and a dedicated Slack channel. Production use is positioned around consumption-based or paid engagement rather than a self-serve subscription tier.
VoltDB’s strongest technical fit is real-time transactional processing where consistency and speed matter together. Snapshots and logical logs provide persistence, while K-safety, synchronous replication, and cross-datacenter replication support highly available deployments. Streaming data processing, real-time analytics, Apache Kafka, Confluent, and Kubernetes deployment support extend its fit for event-driven architectures. The trade-off is specialization: teams looking for a straightforward general-purpose database or transparent self-serve pricing may prefer another option. Choose VoltDB when serializable transactions, server-side logic, replication, and streaming decisions are central requirements; avoid it when those capabilities would add unnecessary platform or engagement complexity.
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VoltDB pricing
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VoltDB fact sheet
| Free plan | No |
|---|---|
| Paid from | Not verified |
| Deployment | Both |
| Data persistence | Yes |
| High availability | Yes |
| SQL support | Yes |
| Vector search | Not verified |
| Included memory | Not verified |
| Supported data models | relational, document/JSON |
| Deployment | Cloud, Self-hosted |
| Platforms | Linux |
| Support | Email, Phone, Tickets, Docs |
| Built for | Mid-market, Enterprise (editorial estimate) |
| Integrations | 2 integrations: Apache Kafka, Confluent |
| Pricing | Pricing on request (source) |
| Website | voltactivedata.com |
| Facts checked | 20 Sep 2026 |
VoltDB integrations
VoltDB lists 2 integrations on its own site.
- Apache Kafka
- Confluent
Alternatives to VoltDB
- Couchbase ServerA broad in-memory platform with free production use and extensive database capabilities.9.4
- Apache IgniteOpen-source distributed SQL with in-memory speed, persistence, transactions, and compute.9.2
- InfinispanA Java-centric choice for clustered caching, persistence, replication, and search.9.0
Also Ranked In
VoltDB is ranked in 2 of our directories.
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Reviewed by iTechGuides Editors · Editorial team · Updated Oct 2026
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