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DBMS > Kinetica vs. Percona Server for MongoDB vs. Snowflake vs. Spark SQL

System Properties Comparison Kinetica vs. Percona Server for MongoDB vs. Snowflake vs. Spark SQL

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Editorial information provided by DB-Engines
NameKinetica  Xexclude from comparisonPercona Server for MongoDB  Xexclude from comparisonSnowflake  Xexclude from comparisonSpark SQL  Xexclude from comparison
DescriptionFully vectorized database across both GPUs and CPUsA drop-in replacement for MongoDB Community Edition with enterprise-grade features.Cloud-based data warehousing service for structured and semi-structured dataSpark SQL is a component on top of 'Spark Core' for structured data processing
Primary database modelRelational DBMSDocument storeRelational DBMSRelational DBMS
Secondary database modelsSpatial DBMS
Time Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.69
Rank#234  Overall
#107  Relational DBMS
Score0.55
Rank#253  Overall
#39  Document stores
Score123.20
Rank#9  Overall
#6  Relational DBMS
Score19.15
Rank#33  Overall
#20  Relational DBMS
Websitewww.kinetica.comwww.percona.com/­mongodb/­software/­percona-server-for-mongodbwww.snowflake.comspark.apache.org/­sql
Technical documentationdocs.kinetica.comdocs.percona.com/­percona-distribution-for-mongodbdocs.snowflake.net/­manuals/­index.htmlspark.apache.org/­docs/­latest/­sql-programming-guide.html
DeveloperKineticaPerconaSnowflake Computing Inc.Apache Software Foundation
Initial release2012201520142014
Current release7.1, August 20213.4.10-2.10, November 20173.5.0 ( 2.13), September 2023
License infoCommercial or Open SourcecommercialOpen Source infoGPL Version 2commercialOpen Source infoApache 2.0
Cloud-based only infoOnly available as a cloud servicenonoyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC, C++C++Scala
Server operating systemsLinuxLinuxhostedLinux
OS X
Windows
Data schemeyesschema-freeyes infosupport of semi-structured data formats (JSON, XML, Avro)yes
Typing infopredefined data types such as float or dateyesyesyesyes
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.nonoyesno
Secondary indexesyesyesno
SQL infoSupport of SQLSQL-like DML and DDL statementsnoyesSQL-like DML and DDL statements
APIs and other access methodsJDBC
ODBC
RESTful HTTP API
proprietary protocol using JSONCLI Client
JDBC
ODBC
JDBC
ODBC
Supported programming languagesC++
Java
JavaScript (Node.js)
Python
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
JavaScript (Node.js)
Python
Java
Python
R
Scala
Server-side scripts infoStored proceduresuser defined functionsJavaScriptuser defined functionsno
Triggersyes infotriggers when inserted values for one or more columns fall within a specified rangenono infosimilar concept for controling cloud resourcesno
Partitioning methods infoMethods for storing different data on different nodesShardingShardingyesyes, utilizing Spark Core
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationSource-replica replicationyesnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual Consistency depending on configurationEventual Consistency
Immediate Consistency
Immediate Consistency
Foreign keys infoReferential integrityyesnoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanonoACIDno
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yes infoGPU vRAM or System RAMyes infovia In-Memory Enginenono
User concepts infoAccess controlAccess rights for users and roles on table levelAccess rights for users and rolesUsers with fine-grained authorization concept, user roles and pluggable authenticationno

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More resources
KineticaPercona Server for MongoDBSnowflakeSpark SQL
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