Apache Ignite vs Apache Kvrocks
Apache Ignite
ignite.apache.org
Apache Kvrocks
kvrocks.apache.orgSide by side
| Figure | Apache Ignite | Apache Kvrocks |
|---|---|---|
| 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) | 7.6 (#12) |
| 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 getting-started guide offers Docker deployment or building a binary from source, and shows Redis CLI connecting on port 6666. |
| Integrations | The download page lists AWS, Azure, GCE, and Spring extensions, including Spring Cache and Spring Data extensions. | Because Kvrocks uses the Redis-compatible protocol, the project documents connecting with the go-redis client; it also describes OpenTelemetry instrumentation for that client. |
| License | The project source is licensed under the Apache License 2.0, with some bundled components under separate licenses. | Apache Kvrocks is licensed under Apache License Version 2.0. |
| Product | Apache Ignite describes itself as a memory-first distributed SQL database for high-velocity workloads. | Apache Kvrocks is a distributed key-value NoSQL database that uses RocksDB as its storage engine and is compatible with the Redis protocol. |
| Storage | Data is stored in memory as the primary tier, with persistence available through AIPERSIST. | Kvrocks stores data on SSD, which the project describes as a way to reduce storage costs and increase capacity compared with Redis. |
| Support | The project directs usage questions to its user mailing list and technical Q&A to Stack Overflow. | The project links users to its Zulip community, issue tracker, and mailing list. |
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.
Apache Kvrocks
Apache Kvrocks has no write-up on Specifiction yet; its figures are above.