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DBMS > Informix vs. OpenEdge vs. Splice Machine vs. StarRocks

System Properties Comparison Informix vs. OpenEdge vs. Splice Machine vs. StarRocks

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Editorial information provided by DB-Engines
NameInformix  Xexclude from comparisonOpenEdge  Xexclude from comparisonSplice Machine  Xexclude from comparisonStarRocks  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 dataApplication development environment with integrated database management systemOpen-Source SQL RDBMS for Operational and Analytical use cases with native Machine Learning, powered by Hadoop and SparkAn open source, high-performance columnar analytical database that enables real-time, multi-dimensional, and highly concurrent data analytics infoForked from Apache Doris
Primary database modelRelational DBMS infoSince Version 12.10 support for JSON/BSON datatypes compatible with MongoDBRelational DBMSRelational DBMSRelational DBMS
Secondary database modelsDocument store
Spatial DBMS
Time Series DBMS infowith Informix TimeSeries Extension
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score17.87
Rank#35  Overall
#22  Relational DBMS
Score3.51
Rank#86  Overall
#46  Relational DBMS
Score0.54
Rank#250  Overall
#114  Relational DBMS
Score1.04
Rank#189  Overall
#88  Relational DBMS
Websitewww.ibm.com/­products/­informixwww.progress.com/­openedgesplicemachine.comwww.starrocks.io
Technical documentationinformix.hcldoc.com
www.ibm.com/­support/­knowledgecenter/­SSGU8G/­welcomeIfxServers.html
documentation.progress.com/­output/­ua/­OpenEdge_latestsplicemachine.com/­how-it-worksdocs.starrocks.io/­en-us/­latest/­introduction/­StarRocks_intro
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.Progress Software CorporationSplice MachineThe Linux Foundation infosince Feb 2023
Initial release1984198420142020
Current release14.10.FC5, November 2020OpenEdge 12.2, March 20203.1, March 20212.5.3, March 2023
License infoCommercial or Open Sourcecommercial infofree developer edition availablecommercialOpen Source infoAGPL 3.0, commercial license availableOpen Source infoApache Version 2.0
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC, C++ and JavaJavaC++, Java
Server operating systemsAIX
HP-UX
Linux
macOS
Solaris
Windows
AIX
HP-UX
Linux
Solaris
Windows
Linux
OS X
Solaris
Windows
Linux
Data schemeyesyesyesyes
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.yesno
Secondary indexesyesyesyesyes
SQL infoSupport of SQLyesyes infoclose to SQL 92yesyes
APIs and other access methodsJDBC
JSON API infoMongoDB compatible
MQTT (Message Queue Telemetry Transport)
ODBC
RESTful HTTP API
JDBC
ODBC
JDBC
Native Spark Datasource
ODBC
JDBC
MySQL protocol
Supported programming languages.Net
C
C++
Java
JavaScript (Node.js)
PHP
Python
Ruby
Progress proprietary ABL (Advanced Business Language)C#
C++
Java
JavaScript (Node.js)
Python
R
Scala
Java
Server-side scripts infoStored proceduresyesyesyes infoJavauser defined functions
Triggersyesyesyesno
Partitioning methods infoMethods for storing different data on different nodesShardinghorizontal partitioning infosince Version 11.4Shared Nothhing Auto-Sharding, Columnar Partitioninghorizontal partitioning (by range and hash)
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 methodsnonoYes, via Full Spark Integrationno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyesyesyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDACIDno
Concurrency infoSupport for concurrent manipulation of datayesyesyes, multi-version concurrency control (MVCC)yes
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.yesnoyesno
User concepts infoAccess controlUsers with fine-grained authentication, authorization, and auditing controlsUsers and groupsAccess rights for users, groups and roles according to SQL-standardRole based access control and fine grained access rights

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More resources
InformixOpenEdgeSplice MachineStarRocks
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