
Aerospike Database
7.8#1 in key-value databasesFree planFree planWebAPILinuxmacOS
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| Fact | Aerospike Database | VoltDB |
|---|---|---|
| Founded | 2010 | 2009 |
| Headquarters | Mountain View, California, United States | Burlington, Massachusetts, United States |
| Integrations | Aerospike Connect includes connectors for Elasticsearch, Spark, Kafka, JMS, Pulsar, Trino, and Event Stream Processing, with additional licensing noted for these connectors. | Documented integrations include Kafka, Kinesis, HDFS, JDBC/ODBC, Elasticsearch and RabbitMQ through import and export capabilities. |
| Praise: G2 performance | Reviewers repeatedly praise Aerospike for speed, low latency, high availability, efficient scaling and fast data refreshes. | G2 reviewers praise in-memory analytics, real-time transaction performance, ACID consistency, failover and replication. |
| Rating on G2 | 4.4 out of 5 from 83 reviews | 4.3 out of 5 from 6 reviews |
| Rating on Gartner Peer Insights | 4.8 out of 5 from 76 reviews | 4.9 out of 5 from 9 ratings |
| Rating on TrustRadius | 9 out of 10 from 13 reviews and ratings | 9 out of 10 from 1 review |
| Release limitation | Database 8.2.0 does not provide build artifacts for Debian 12 or Ubuntu 22.04. | VoltDB 16 removed built-in Topics declarations and recommends import/export or VoltSP pipelines instead. |
| Security controls | Aerospike states that it encrypts data in transit with TLS 1.2 or newer and at rest with AES-128 or equivalent, and uses RBAC, MFA, SIEM monitoring and encrypted backups. | Authentication and authorization are enabled through configuration, with users, roles and stored-procedure permissions. |
It may suit teams building large-scale transaction systems or data pipelines that need multiple data models and replication options. The Enterprise Edition is described for mission-critical workloads, including machine learning and generative and agentic AI workloads.
VoltDB is aimed at companies building or modernizing mission-critical applications, including in financial services, telecommunications, and enterprise technology. It may suit teams working with streaming data that need low-latency decisions across supported deployment types.