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DBMS > KeyDB vs. QuestDB vs. RocksDB vs. Vitess

System Properties Comparison KeyDB vs. QuestDB vs. RocksDB vs. Vitess

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Editorial information provided by DB-Engines
NameKeyDB  Xexclude from comparisonQuestDB  Xexclude from comparisonRocksDB  Xexclude from comparisonVitess  Xexclude from comparison
DescriptionAn ultra-fast, open source Key-value store fully compatible with Redis API, modules, and protocolsA high performance open source SQL database for time series dataEmbeddable persistent key-value store optimized for fast storage (flash and RAM)Scalable, distributed, cloud-native DBMS, extending MySQL
Primary database modelKey-value storeTime Series DBMSKey-value storeRelational DBMS
Secondary database modelsRelational DBMSDocument store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.63
Rank#232  Overall
#32  Key-value stores
Score2.81
Rank#98  Overall
#7  Time Series DBMS
Score2.84
Rank#97  Overall
#16  Key-value stores
Score0.86
Rank#202  Overall
#95  Relational DBMS
Websitegithub.com/­Snapchat/­KeyDB
keydb.dev
questdb.iorocksdb.orgvitess.io
Technical documentationdocs.keydb.devquestdb.io/­docsgithub.com/­facebook/­rocksdb/­wikivitess.io/­docs
DeveloperEQ Alpha Technology Ltd.QuestDB Technology IncFacebook, Inc.The Linux Foundation, PlanetScale
Initial release2019201420132013
Current release9.4.0, June 202415.0.2, December 2022
License infoCommercial or Open SourceOpen Source infoBSD-3Open Source infoApache 2.0Open Source infoBSDOpen Source infoApache Version 2.0, commercial licenses available
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC++Java (Zero-GC), C++, RustC++Go
Server operating systemsLinuxLinux
macOS
Windows
LinuxDocker
Linux
macOS
Data schemeschema-freeyes infoschema-free via InfluxDB Line Protocolschema-freeyes
Typing infopredefined data types such as float or datepartial infoSupported data types are strings, hashes, lists, sets and sorted sets, bit arrays, hyperloglogs and geospatial indexesyesnoyes
XML support infoSome form of processing data in XML format, e.g. support for XML data structures, and/or support for XPath, XQuery or XSLT.nonono
Secondary indexesyes infoby using the Redis Search modulenonoyes
SQL infoSupport of SQLnoSQL with time-series extensionsnoyes infowith proprietary extensions
APIs and other access methodsProprietary protocol infoRESP - REdis Serialization ProtocoHTTP REST
InfluxDB Line Protocol (TCP/UDP)
JDBC
PostgreSQL wire protocol
C++ API
Java API
ADO.NET
JDBC
MySQL protocol
ODBC
Supported programming languagesC
C#
C++
Clojure
Crystal
D
Dart
Elixir
Erlang
Fancy
Go
Haskell
Haxe
Java
JavaScript (Node.js)
Lisp
Lua
MatLab
Objective-C
OCaml
Pascal
Perl
PHP
Prolog
Pure Data
Python
R
Rebol
Ruby
Rust
Scala
Scheme
Smalltalk
Swift
Tcl
Visual Basic
C infoPostgreSQL driver
C++
Go
Java
JavaScript (Node.js)
Python
Rust infoover HTTP
C
C++
Go
Java
Perl
Python
Ruby
Ada
C
C#
C++
D
Delphi
Eiffel
Erlang
Haskell
Java
JavaScript (Node.js)
Objective-C
OCaml
Perl
PHP
Python
Ruby
Scheme
Tcl
Server-side scripts infoStored proceduresLuanonoyes infoproprietary syntax
Triggersnonoyes
Partitioning methods infoMethods for storing different data on different nodesShardinghorizontal partitioning (by timestamps)horizontal partitioningSharding
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication
Source-replica replication
Source-replica replication with eventual consistencyyesMulti-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency
Strong eventual consistency with CRDTs
Immediate ConsistencyEventual Consistency across shards
Immediate Consistency within a shard
Foreign keys infoReferential integritynononoyes infonot for MyISAM storage engine
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataOptimistic locking, atomic execution of commands blocks and scriptsACID for single-table writesyesACID at shard level
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes infotable locks or row locks depending on storage engine
Durability infoSupport for making data persistentyes infoConfigurable mechanisms for persistency via snapshots and/or operations logsyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyes infothrough memory mapped filesyesyes
User concepts infoAccess controlsimple password-based access control and ACLnoUsers with fine-grained authorization concept infono user groups or roles
More information provided by the system vendor
KeyDBQuestDBRocksDBVitess
News

Combine Java and Rust Code Coverage in a Polyglot Project
10 September 2024

Weather data visualization and forecasting with QuestDB, Kafka and Grafana
4 September 2024

Building a new vector based storage model
22 August 2024

Calibrating VWAP executions with QuestDB and Grafana
16 August 2024

Write Time: a call for community writers
13 August 2024

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More resources
KeyDBQuestDBRocksDBVitess
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