Skip to content
SPECIFICTION
Get listed

Aerospike Database vs RocksDB

Aerospike Database

aerospike.com

RocksDB

rocksdb.org

Side by side

FigureAerospike DatabaseRocksDB
Price fromFreeFree
Free planYesYes
Free trialYes—
Open sourceYes—
WebYes—
WindowsYesYes
macOSYesYes
LinuxYesYes
iOS—Yes
APIYesYes
Self-hostedYesYes
Plans published21
Spec score · Key-Value Databases9.1 (#1)8.1 (#5)
IntegrationsAerospike 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.
SupportCommunity 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 doesAerospike 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

Aerospike Database pricing →

RocksDB

  • RocksDBFree

RocksDB pricing →

In their own words

Aerospike Database

Aerospike Database has no write-up on Specifiction yet; its figures are above.

Visit aerospike.com

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.

Visit rocksdb.org