Aerospike Database vs RocksDB
Aerospike Database
aerospike.comRocksDB
rocksdb.orgSide by side
| Figure | Aerospike Database | RocksDB |
|---|---|---|
| Price from | Free | Free |
| Free plan | Yes | Yes |
| Free trial | Yes | — |
| Open source | Yes | — |
| Web | Yes | — |
| Windows | Yes | Yes |
| macOS | Yes | Yes |
| Linux | Yes | Yes |
| iOS | — | Yes |
| API | Yes | Yes |
| Self-hosted | Yes | Yes |
| Plans published | 2 | 1 |
| Spec score · Key-Value Databases | 9.1 (#1) | 8.1 (#5) |
| Integrations | Aerospike Connect includes connectors for Elasticsearch, Spark, Kafka, JMS, Pulsar, Trino, and Event Stream Processing, with additional licensing noted for these connectors. | The project documents a MyRocks database storage engine as one example of using RocksDB. |
| Support | Community Edition includes community support, while Enterprise Edition includes enterprise production support and hot patch availability. | The project directs users to its Google Group or Facebook Group for general questions and reserves GitHub issues for bug reports. |
| What it does | Aerospike Database is a distributed NoSQL platform for real-time workloads requiring predictable low latency, high availability and very large scale. | RocksDB is an embeddable, persistent key-value store for fast storage. |
Plans
Aerospike Database
- Community EditionFree
- Enterprise EditionPriced on request
In their own words
Aerospike Database
Aerospike Database has no write-up on Specifiction yet; its figures are above.
RocksDB
RocksDB is an embeddable, persistent key-value store for applications that need fast storage. It stores keys and values as arbitrary byte arrays, with ordering determined by a comparator chosen by the user. Its log-structured merge design allows configuration of tradeoffs among write, read, and space amplification, and the project describes it as optimized for low-latency storage on flash drives and high-speed disks. The C++ library supports opening and closing databases, reads and writes, merging, and compaction filters. Described uses include database storage engines, application data caches, and embedded workloads. Multi-threaded compactions support databases holding multiple terabytes; the project describes an audience of application servers storing up to a few terabytes on local or remote systems. RocksDB also has a Java wrapper, RocksJava, with artifacts published through Maven. It is free and open source under either GPLv2 or Apache 2.0, at the user's choice. Building requires GCC 11 or later or Clang 10 or later for C++20 support; values must be smaller than 4 GB.