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Apache Kvrocks vs RocksDB

Apache Kvrocks

kvrocks.apache.org

RocksDB

rocksdb.org

Side by side

FigureApache KvrocksRocksDB
Price from—Free
Free plan—Yes
Free trial——
Open source——
Windows—Yes
macOSYesYes
LinuxYesYes
iOS—Yes
APIYesYes
Self-hostedYesYes
Plans published01
Spec score · Key-Value Databases7.6 (#12)8.1 (#5)
IntegrationsBecause Kvrocks uses the Redis-compatible protocol, the project documents connecting with the go-redis client; it also describes OpenTelemetry instrumentation for that client.The project documents a MyRocks database storage engine as one example of using RocksDB.
PlatformsThe getting-started guide documents running with Docker or compiling from source, with build instructions covering Linux distributions and macOS.Build instructions cover Linux, macOS, FreeBSD, OpenBSD, iOS, Windows, AIX, and Solaris Sparc.
ProductApache Kvrocks is a distributed key-value NoSQL database that uses RocksDB as its storage engine and is compatible with the Redis protocol.RocksDB is an embeddable persistent key-value store for fast storage.
SupportThe project links users to its Zulip community, issue tracker, and mailing list.The project directs users to its Google Group or Facebook Group for general questions and reserves GitHub issues for bug reports.

Plans

Apache Kvrocks

No plans published.

Apache Kvrocks pricing →

RocksDB

  • RocksDBFree

RocksDB pricing →

In their own words

Apache Kvrocks

Apache Kvrocks has no write-up on Specifiction yet; its figures are above.

Visit kvrocks.apache.org

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