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DBMS > Informix vs. Percona Server for MongoDB vs. Postgres-XL vs. Splice Machine

System Properties Comparison Informix vs. Percona Server for MongoDB vs. Postgres-XL vs. Splice Machine

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Editorial information provided by DB-Engines
NameInformix  Xexclude from comparisonPercona Server for MongoDB  Xexclude from comparisonPostgres-XL  Xexclude from comparisonSplice Machine  Xexclude from comparison
DescriptionA secure embeddable database from IBM, positioned besides IBM Db2 as a relatively low-cost product optimized for OLTP and Internet of Things dataA drop-in replacement for MongoDB Community Edition with enterprise-grade features.Based on PostgreSQL enhanced with MPP and write-scale-out cluster featuresOpen-Source SQL RDBMS for Operational and Analytical use cases with native Machine Learning, powered by Hadoop and Spark
Primary database modelRelational DBMS infoSince Version 12.10 support for JSON/BSON datatypes compatible with MongoDBDocument storeRelational DBMSRelational DBMS
Secondary database modelsDocument store
Spatial DBMS
Time Series DBMS infowith Informix TimeSeries Extension
Document store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score17.12
Rank#34  Overall
#21  Relational DBMS
Score0.60
Rank#246  Overall
#39  Document stores
Score0.53
Rank#254  Overall
#117  Relational DBMS
Score0.54
Rank#252  Overall
#115  Relational DBMS
Websitewww.ibm.com/­products/­informixwww.percona.com/­mongodb/­software/­percona-server-for-mongodbwww.postgres-xl.orgsplicemachine.com
Technical documentationinformix.hcldoc.com
www.ibm.com/­support/­knowledgecenter/­SSGU8G/­welcomeIfxServers.html
docs.percona.com/­percona-distribution-for-mongodbwww.postgres-xl.org/­documentationsplicemachine.com/­how-it-works
DeveloperIBM, HCL Technologies infoEffective May 1st, 2017, HCL took on development, technical support, and product management teams, and works jointly with IBM on product strategy, marketing, and sales.PerconaSplice Machine
Initial release198420152014 infosince 2012, originally named StormDB2014
Current release14.10.FC5, November 20203.4.10-2.10, November 201710 R1, October 20183.1, March 2021
License infoCommercial or Open Sourcecommercial infofree developer edition availableOpen Source infoGPL Version 2Open Source infoMozilla public licenseOpen Source infoAGPL 3.0, 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++ and JavaC++CJava
Server operating systemsAIX
HP-UX
Linux
macOS
Solaris
Windows
LinuxLinux
macOS
Linux
OS X
Solaris
Windows
Data schemeyesschema-freeyesyes
Typing infopredefined data types such as float or dateyes infoSince Version 12.10 support for JSON/BSON datatypesyesyesyes
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.noyes infoXML type, but no XML query functionality
Secondary indexesyesyesyesyes
SQL infoSupport of SQLyesnoyes infodistributed, parallel query executionyes
APIs and other access methodsJDBC
JSON API infoMongoDB compatible
MQTT (Message Queue Telemetry Transport)
ODBC
RESTful HTTP API
proprietary protocol using JSONADO.NET
JDBC
native C library
ODBC
streaming API for large objects
JDBC
Native Spark Datasource
ODBC
Supported programming languages.Net
C
C++
Java
JavaScript (Node.js)
PHP
Python
Ruby
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
.Net
C
C++
Delphi
Erlang
Java
JavaScript (Node.js)
Perl
PHP
Python
Tcl
C#
C++
Java
JavaScript (Node.js)
Python
R
Scala
Server-side scripts infoStored proceduresyesJavaScriptuser defined functionsyes infoJava
Triggersyesnoyesyes
Partitioning methods infoMethods for storing different data on different nodesShardingShardinghorizontal partitioningShared Nothhing Auto-Sharding, Columnar Partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication
Source-replica replication
Source-replica replicationMulti-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesnoYes, via Full Spark Integration
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual Consistency
Immediate Consistency
Immediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyesnoyesyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnoACID infoMVCCACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes, multi-version concurrency control (MVCC)
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.yesyes infovia In-Memory Enginenoyes
User concepts infoAccess controlUsers with fine-grained authentication, authorization, and auditing controlsAccess rights for users and rolesfine grained access rights according to SQL-standardAccess rights for users, groups and roles according to SQL-standard

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More resources
InformixPercona Server for MongoDBPostgres-XLSplice Machine
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