Aerospike Database
7.8#1 in key-value databasesFree planFree planWebAPILinuxmacOS
VisitAerospike Database vs Apache Ignite
Apache Ignite
7.4#3 in key-value databasesFree planFree planAPILinuxmacOSSelf-hosted
VisitWhat both publish
| Fact | Aerospike Database | Apache Ignite |
|---|---|---|
| Integrations | Aerospike Connect includes connectors for Elasticsearch, Spark, Kafka, JMS, Pulsar, Trino, and Event Stream Processing, with additional licensing noted for these connectors. | The download page lists AWS, Azure, GCE, and Spring extensions, including Spring Cache and Spring Data extensions. |
| Latest release | Database 8.2.0 was released September 29, 2026 with Ubuntu 26.04 support, server-side expression improvements, structured errors and a 64-level nesting limit for lists and maps. | The download page identifies Apache Ignite 2.18.0 as the latest 2.x release and lists its release date as 2026-04-26. |
| Rating on G2 | 4.4 out of 5 from 83 reviews | 3.9 out of 5 from 17 reviews |
| Rating on Gartner Peer Insights | 4.8 out of 5 from 76 reviews | 4.0 out of 5 from 2 ratings |
| Rating on TrustRadius | 9 out of 10 from 13 reviews and ratings | 8 out of 10 from 4 reviews |
| 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. | Ignite documents username/password authentication, authorization permissions, and SSL/TLS encryption for client and node communication. |
Aerospike Database plans
- Community EditionFree
- Enterprise EditionPriced on request
Apache Ignite plans
- Apache IgniteFree
Pick Aerospike Database if…
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.
Pick Apache Ignite if…
Apache Ignite suits teams building self-hosted distributed data systems for streaming, microservices state, sessions, or AI/ML feature stores. It is relevant to developers using its listed language clients and APIs.