Apache Ignite vs Tarantool DB
Apache Ignite
ignite.apache.org
Tarantool DB
tarantool.ioSide by side
| Figure | Apache Ignite | Tarantool DB |
|---|---|---|
| Price from | Free | — |
| Free plan | Yes | — |
| Free trial | — | — |
| Open source | Yes | — |
| Windows | Yes | — |
| macOS | Yes | Yes |
| Linux | Yes | Yes |
| API | Yes | Yes |
| Self-hosted | Yes | Yes |
| Plans published | 1 | 0 |
| Spec score · Key-Value Databases | 8.9 (#3) | 6.9 (#25) |
| Spec score · In-Memory Databases | 8.9 (#4) | 6.8 (#22) |
| Spec score · Multimodel Databases | 9.0 (#5) | 6.8 (#22) |
| Deployment | Ignite can run on bare metal, virtual machines, Docker, Kubernetes and cloud environments, with thick and thin clients plus JDBC, ODBC and REST access. | The product page says cluster deployment can be automated, Kubernetes deployment is possible, and Astra Linux and RED OS are supported. |
| Integrations | The download page lists AWS, Azure, GCE, and Spring extensions, including Spring Cache and Spring Data extensions. | The product page lists integration with Active Directory and LDAP, plus monitoring metric export to Prometheus or Grafana. |
| Product | Apache Ignite describes itself as a memory-first distributed SQL database for high-velocity workloads. | Tarantool DB is a NoSQL in-memory DBMS for increasing the availability of key systems and creating real-time digital services. |
| Support | The project directs usage questions to its user mailing list and technical Q&A to Stack Overflow. | The product page offers a product demonstration and consultation by contacting the maker; the site lists [email protected]. |
| Use cases | Listed use cases include event stream processing, microservices state management, session management, and AI/ML feature stores. | The maker describes it for cache layers, Redis replacement, customer profiles, single sign-on, real-time billing and marketing, and event stream processing. |
Plans
In their own words
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.
Tarantool DB
Tarantool DB has no write-up on Specifiction yet; its figures are above.