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DBMS > Kdb vs. Percona Server for MongoDB vs. SingleStore

System Properties Comparison Kdb vs. Percona Server for MongoDB vs. SingleStore

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Editorial information provided by DB-Engines
NameKdb  Xexclude from comparisonPercona Server for MongoDB  Xexclude from comparisonSingleStore infoformer name was MemSQL  Xexclude from comparison
DescriptionHigh performance Time Series DBMSA drop-in replacement for MongoDB Community Edition with enterprise-grade features.MySQL 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 type
Primary database modelTime Series DBMS
Vector DBMS
Document storeRelational DBMS
Secondary database modelsRelational DBMSDocument store
Spatial DBMS
Time Series DBMS
Vector DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score7.70
Rank#53  Overall
#3  Time Series DBMS
#1  Vector DBMS
Score0.55
Rank#253  Overall
#39  Document stores
Score5.91
Rank#61  Overall
#34  Relational DBMS
Websitekx.comwww.percona.com/­mongodb/­software/­percona-server-for-mongodbwww.singlestore.com
Technical documentationcode.kx.comdocs.percona.com/­percona-distribution-for-mongodbdocs.singlestore.com
DeveloperKx Systems, a division of First Derivatives plcPerconaSingleStore Inc.
Initial release2000 infokdb was released 2000, kdb+ in 200320152013
Current release3.6, May 20183.4.10-2.10, November 20178.5, January 2024
License infoCommercial or Open Sourcecommercial infofree 32-bit versionOpen Source infoGPL Version 2commercial infofree developer edition available
Cloud-based only infoOnly available as a cloud servicenonono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
SingleStoreDB Cloud: The world's fastest, modern cloud database for both operational (OLTP) and analytical (OLAP) workloads. Available instantly with multi-cloud and hybrid-cloud capabilities
Implementation languageqC++C++, Go
Server operating systemsLinux
OS X
Solaris
Windows
LinuxLinux info64 bit version required
Data schemeyesschema-freeyes
Typing infopredefined data types such as float or dateyesyesyes
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.yesnono
Secondary indexesyes infotable attribute 'grouped'yesyes
SQL infoSupport of SQLSQL-like query language (q)noyes infobut no triggers and foreign keys
APIs and other access methodsHTTP API
JDBC
Jupyter
Kafka
ODBC
WebSocket
proprietary protocol using JSONCluster Management API infoas HTTP Rest and CLI
HTTP API
JDBC
MongoDB API
ODBC
Supported programming languagesC
C#
C++
Go
J
Java
JavaScript
Lua
MatLab
Perl
PHP
Python
R
Scala
Actionscript
C
C#
C++
Clojure
ColdFusion
D
Dart
Delphi
Erlang
Go
Groovy
Haskell
Java
JavaScript
Lisp
Lua
MatLab
Perl
PHP
PowerShell
Prolog
Python
R
Ruby
Scala
Smalltalk
Bash
C
C#
Java
JavaScript (Node.js)
Python
Server-side scripts infoStored proceduresuser defined functionsJavaScriptyes
Triggersyes infowith viewsnono
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioningShardingSharding infohash partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationSource-replica replicationSource-replica replication infostores two copies of each physical data partition on two separate nodes
MapReduce infoOffers an API for user-defined Map/Reduce methodsno infosimilar paradigm used for internal processingyesno infocan define user-defined aggregate functions for map-reduce-style calculations
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual Consistency
Immediate Consistency
Immediate Consistency
Foreign keys infoReferential integrityyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanonoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyes, multi-version concurrency control (MVCC)
Durability infoSupport for making data persistentyesyesyes infoAll updates are persistent, including those to disk-based columnstores and memory-based row stores. Transaction commits are supported via write-ahead log.
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyes infovia In-Memory Engineyes
User concepts infoAccess controlrights management via user accountsAccess rights for users and rolesFine grained access control via users, groups and roles
More information provided by the system vendor
KdbPercona Server for MongoDBSingleStore infoformer name was MemSQL
Specific characteristicsIntegrated columnar database & programming system for streaming, real time and historical...
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SingleStore offers a fully-managed , distributed, highly-scalable SQL database designed...
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Competitive advantagesprovides seamless scalability; runs on industry standard server platforms; is top-ranked...
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SingleStore’s competitive advantages include: Easy and Simplified Architecture with...
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Typical application scenariostick database streaming sensor data massive intelligence applications oil and gas...
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Driving Fast Analytics: SingleStore delivers the fastest and most scalable reporting...
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Key customersGoldman Sachs Morgan Stanley Merrill Lynch J.P. Morgan Deutsche Bank IEX Securities...
» more
IEX Cloud : Improves Financial Data Distribution Speed 15x with Singlestore DB Comcast,...
» more
Market metricskdb+ performance and reliability proven by our customers in critical infrastructure...
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Customers in various industries worldwide including US and International Industry...
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Licensing and pricing modelsupon request
» more
F ree Tier and Enterprise Edition
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More resources
KdbPercona Server for MongoDBSingleStore infoformer name was MemSQL
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SingleStore: The Increasing Momentum of Multi-Model Database Systems
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