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DBMS > KeyDB vs. SingleStore vs. TigerGraph vs. WakandaDB

System Properties Comparison KeyDB vs. SingleStore vs. TigerGraph vs. WakandaDB

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Editorial information provided by DB-Engines
NameKeyDB  Xexclude from comparisonSingleStore infoformer name was MemSQL  Xexclude from comparisonTigerGraph  Xexclude from comparisonWakandaDB  Xexclude from comparison
DescriptionAn ultra-fast, open source Key-value store fully compatible with Redis API, modules, and protocolsMySQL wire-compliant distributed RDBMS that combines an in-memory row-oriented and a disc-based column-oriented storage with patented universal storage to handle transactional and analytical workloads in one single table typeA complete, distributed, parallel graph computing platform supporting web-scale data analytics in real-timeWakandaDB is embedded in a server that provides a REST API and a server-side javascript engine to access data
Primary database modelKey-value storeRelational DBMSGraph DBMSObject oriented DBMS
Secondary database modelsDocument store
Spatial DBMS
Time Series DBMS
Vector DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.63
Rank#232  Overall
#32  Key-value stores
Score4.02
Rank#74  Overall
#39  Relational DBMS
Score1.44
Rank#152  Overall
#14  Graph DBMS
Score0.03
Rank#364  Overall
#17  Object oriented DBMS
Websitegithub.com/­Snapchat/­KeyDB
keydb.dev
www.singlestore.comwww.tigergraph.comwakanda.github.io
Technical documentationdocs.keydb.devdocs.singlestore.comdocs.tigergraph.comwakanda.github.io/­doc
DeveloperEQ Alpha Technology Ltd.SingleStore Inc.Wakanda SAS
Initial release2019201320172012
Current release8.5, January 20242.7.0 (April 29, 2019), April 2019
License infoCommercial or Open SourceOpen Source infoBSD-3commercial infofree developer edition availablecommercialOpen Source infoAGPLv3, extended commercial license available
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC++C++, GoC++C++, JavaScript
Server operating systemsLinuxLinux info64 bit version requiredLinuxLinux
OS X
Windows
Data schemeschema-freeyesyesyes
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 indexesyesyesyes
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.nononono
Secondary indexesyes infoby using the Redis Search moduleyes
SQL infoSupport of SQLnoyes infobut no triggers and foreign keysSQL-like query language (GSQL)no
APIs and other access methodsProprietary protocol infoRESP - REdis Serialization ProtocoCluster Management API infoas HTTP Rest and CLI
HTTP API
JDBC
MongoDB API
ODBC
GSQL (TigerGraph Query Language)
Kafka
RESTful HTTP/JSON API
RESTful HTTP API
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
Bash
C
C#
Java
JavaScript (Node.js)
Python
C++
Java
JavaScript
Server-side scripts infoStored proceduresLuayesyesyes
Triggersnononoyes
Partitioning methods infoMethods for storing different data on different nodesShardingSharding infohash partitioningnone
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication
Source-replica replication
Source-replica replication infostores two copies of each physical data partition on two separate nodesnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnono infocan define user-defined aggregate functions for map-reduce-style calculationsyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency
Strong eventual consistency with CRDTs
Immediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynonoyes infoRelationships in graphs
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataOptimistic locking, atomic execution of commands blocks and scriptsACIDACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyes, multi-version concurrency control (MVCC)yesyes
Durability infoSupport for making data persistentyes infoConfigurable mechanisms for persistency via snapshots and/or operations logsyes infoAll updates are persistent, including those to disk-based columnstores and memory-based row stores. Transaction commits are supported via write-ahead log.yesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyesnono
User concepts infoAccess controlsimple password-based access control and ACLFine grained access control via users, groups and rolesRole-based access controlyes

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More resources
KeyDBSingleStore infoformer name was MemSQLTigerGraphWakandaDB
DB-Engines blog posts

Turbocharge Your Application Development Using WebAssembly With SingleStoreDB
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Cloud-Based Analytics With SingleStoreDB
9 June 2022,  Akmal Chaudhri, SingleStore (sponsor) 

SingleStore: The Increasing Momentum of Multi-Model Database Systems
14 February 2022,  Akmal Chaudhri, SingleStore (sponsor) 

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