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DBMS > Informix vs. Microsoft Access vs. OpenMLDB vs. Postgres-XL

System Properties Comparison Informix vs. Microsoft Access vs. OpenMLDB vs. Postgres-XL

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Editorial information provided by DB-Engines
NameInformix  Xexclude from comparisonMicrosoft Access  Xexclude from comparisonOpenMLDB  Xexclude from comparisonPostgres-XL  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 dataMicrosoft Access combines a backend RDBMS (JET / ACE Engine) with a GUI frontend for data manipulation and queries. infoThe Access frontend is often used for accessing other datasources (DBMS, Excel, etc.)An open-source machine learning database that provides a feature platform for training and inferenceBased on PostgreSQL enhanced with MPP and write-scale-out cluster features
Primary database modelRelational DBMS infoSince Version 12.10 support for JSON/BSON datatypes compatible with MongoDBRelational DBMSTime Series DBMSRelational DBMS
Secondary database modelsDocument store
Spatial DBMS
Time Series DBMS infowith Informix TimeSeries Extension
Relational DBMSDocument store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score17.87
Rank#35  Overall
#22  Relational DBMS
Score104.92
Rank#11  Overall
#8  Relational DBMS
Score0.02
Rank#367  Overall
#37  Time Series DBMS
Score0.49
Rank#256  Overall
#117  Relational DBMS
Websitewww.ibm.com/­products/­informixwww.microsoft.com/­en-us/­microsoft-365/­accessopenmldb.aiwww.postgres-xl.org
Technical documentationinformix.hcldoc.com
www.ibm.com/­support/­knowledgecenter/­SSGU8G/­welcomeIfxServers.html
developer.microsoft.com/­en-us/­accessopenmldb.ai/­docs/­zh/­mainwww.postgres-xl.org/­documentation
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.Microsoft4 Paradigm Inc.
Initial release1984199220202014 infosince 2012, originally named StormDB
Current release14.10.FC5, November 20201902 (16.0.11328.20222), March 20192024-2 February 202410 R1, October 2018
License infoCommercial or Open Sourcecommercial infofree developer edition availablecommercial infoBundled with Microsoft OfficeOpen SourceOpen Source infoMozilla public license
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++C++, Java, ScalaC
Server operating systemsAIX
HP-UX
Linux
macOS
Solaris
Windows
Windows infoNot a real database server, but making use of DLLsLinuxLinux
macOS
Data schemeyesyesFixed schemayes
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 SQLyesyes infobut not compliant to any SQL standardyesyes infodistributed, parallel query execution
APIs and other access methodsJDBC
JSON API infoMongoDB compatible
MQTT (Message Queue Telemetry Transport)
ODBC
RESTful HTTP API
ADO.NET
DAO
ODBC
OLE DB
JDBC
SQLAlchemy
ADO.NET
JDBC
native C library
ODBC
streaming API for large objects
Supported programming languages.Net
C
C++
Java
JavaScript (Node.js)
PHP
Python
Ruby
C
C#
C++
Delphi
Java (JDBC-ODBC)
VBA
Visual Basic.NET
C++
Go
Java
Python
Scala
.Net
C
C++
Delphi
Erlang
Java
JavaScript (Node.js)
Perl
PHP
Python
Tcl
Server-side scripts infoStored proceduresyesyes infosince Access 2010 using the ACE-enginenouser defined functions
Triggersyesyes infosince Access 2010 using the ACE-enginenoyes
Partitioning methods infoMethods for storing different data on different nodesShardingnonehorizontal partitioninghorizontal partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication
Source-replica replication
noneSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyesyesnoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACID infobut no files for transaction loggingnoACID infoMVCC
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyes infobut no files for transaction loggingyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyesno
User concepts infoAccess controlUsers with fine-grained authentication, authorization, and auditing controlsno infoa simple user-level security was built in till version Access 2003fine grained access rights according to SQL-standardfine grained access rights according to SQL-standard

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More resources
InformixMicrosoft AccessOpenMLDBPostgres-XL
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