Amazon MemoryDB vs Apache Ignite
Amazon MemoryDB
aws.amazon.comApache Ignite
ignite.apache.orgSide by side
| Figure | Amazon MemoryDB | Apache Ignite |
|---|---|---|
| Price from | — | Free |
| Free plan | — | Yes |
| Free trial | — | — |
| Open source | — | Yes |
| Web | Yes | — |
| Windows | — | Yes |
| macOS | — | Yes |
| Linux | — | Yes |
| API | Yes | Yes |
| Self-hosted | — | Yes |
| Plans published | 2 | 1 |
| Spec score · Key-Value Databases | 7.4 (#19) | 8.9 (#3) |
| Spec score · In-Memory Databases | 7.3 (#21) | 8.9 (#4) |
| Pricing | On-demand nodes are billed by instance hour; data written is priced at $0.20/GB, while reads have no associated data-written charge. | The project publishes downloadable open-source software and does not list commercial subscription prices on its download page. |
| Use cases | AWS describes use cases including real-time generative AI applications, web and mobile apps, online games, and media streaming. | Listed use cases include event stream processing, microservices state management, session management, and AI/ML feature stores. |
| What it does | Amazon MemoryDB is a Valkey- and Redis OSS-compatible durable in-memory database service. | Apache Ignite is a distributed database designed for high-performance computing with in-memory speed. |
Plans
Amazon MemoryDB
- On-demand nodesPrice not published
- Reserved nodesPrice not published
In their own words
Amazon MemoryDB
Amazon MemoryDB has no write-up on Specifiction yet; its figures are above.
Apache Ignite
Apache Ignite is a free, open-source, memory-first distributed SQL database for high-velocity workloads. It keeps data primarily in memory, with persistence available through AIPERSIST, and supports ACID transactions across partitions using Raft consensus. MVCC snapshot isolation enables non-blocking reads. SQL access includes JDBC drivers, a Table API and native APIs, while catalog-driven schema management allows column and index changes without stopping the cluster. DataStreamer handles high-throughput writes with backpressure control. Native clients are listed for Java, .NET, C++ and Python, alongside AWS, Azure, GCE and Spring extensions. Built-in operational capabilities include authentication, SSL/TLS security, OpenTelemetry metrics, recovery snapshots and backups. Listed uses include event stream processing, microservices state management, session management and AI/ML feature stores. Ignite is self-hosted and available through binary, source, Docker and Maven/Gradle options. The project identifies Ignite 2 as a long-term-support release recommended for existing deployments.