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DBMS > IBM Db2 Event Store vs. Informix vs. Spark SQL vs. StarRocks

System Properties Comparison IBM Db2 Event Store vs. Informix vs. Spark SQL vs. StarRocks

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Editorial information provided by DB-Engines
NameIBM Db2 Event Store  Xexclude from comparisonInformix  Xexclude from comparisonSpark SQL  Xexclude from comparisonStarRocks  Xexclude from comparison
DescriptionDistributed Event Store optimized for Internet of Things use casesA secure embeddable database from IBM, positioned besides IBM Db2 as a relatively low-cost product optimized for OLTP and Internet of Things dataSpark SQL is a component on top of 'Spark Core' for structured data processingAn open source, high-performance columnar analytical database that enables real-time, multi-dimensional, and highly concurrent data analytics infoForked from Apache Doris
Primary database modelEvent Store
Time Series DBMS
Relational DBMS infoSince Version 12.10 support for JSON/BSON datatypes compatible with MongoDBRelational 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
Score0.27
Rank#309  Overall
#2  Event Stores
#28  Time Series DBMS
Score17.12
Rank#34  Overall
#21  Relational DBMS
Score18.04
Rank#33  Overall
#20  Relational DBMS
Score0.93
Rank#198  Overall
#93  Relational DBMS
Websitewww.ibm.com/­products/­db2-event-storewww.ibm.com/­products/­informixspark.apache.org/­sqlwww.starrocks.io
Technical documentationwww.ibm.com/­docs/­en/­db2-event-storeinformix.hcldoc.com
www.ibm.com/­support/­knowledgecenter/­SSGU8G/­welcomeIfxServers.html
spark.apache.org/­docs/­latest/­sql-programming-guide.htmldocs.starrocks.io/­en-us/­latest/­introduction/­StarRocks_intro
DeveloperIBMIBM, 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.Apache Software FoundationThe Linux Foundation infosince Feb 2023
Initial release2017198420142020
Current release2.014.10.FC5, November 20203.5.0 ( 2.13), September 20232.5.3, March 2023
License infoCommercial or Open Sourcecommercial infofree developer edition availablecommercial infofree developer edition availableOpen Source infoApache 2.0Open 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 and C++C, C++ and JavaScalaC++, Java
Server operating systemsLinux infoLinux, macOS, Windows for the developer additionAIX
HP-UX
Linux
macOS
Solaris
Windows
Linux
OS X
Windows
Linux
Data schemeyesyesyesyes
Typing infopredefined data types such as float or dateyesyes infoSince Version 12.10 support for JSON/BSON datatypesyesyes
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.nonono
Secondary indexesnoyesnoyes
SQL infoSupport of SQLyes infothrough the embedded Spark runtimeyesSQL-like DML and DDL statementsyes
APIs and other access methodsADO.NET
DB2 Connect
JDBC
ODBC
RESTful HTTP API
JDBC
JSON API infoMongoDB compatible
MQTT (Message Queue Telemetry Transport)
ODBC
RESTful HTTP API
JDBC
ODBC
JDBC
MySQL protocol
Supported programming languagesC
C#
C++
Cobol
Delphi
Fortran
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
R
Ruby
Scala
Visual Basic
.Net
C
C++
Java
JavaScript (Node.js)
PHP
Python
Ruby
Java
Python
R
Scala
Java
Server-side scripts infoStored proceduresyesyesnouser defined functions
Triggersnoyesnono
Partitioning methods infoMethods for storing different data on different nodesShardingShardingyes, utilizing Spark Corehorizontal partitioning (by range and hash)
Replication methods infoMethods for redundantly storing data on multiple nodesActive-active shard replicationMulti-source replication
Source-replica replication
none
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynoyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDnono
Concurrency infoSupport for concurrent manipulation of dataNo - written data is immutableyesyesyes
Durability infoSupport for making data persistentYes - Synchronous writes to local disk combined with replication and asynchronous writes in parquet format to permanent shared storageyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyesnono
User concepts infoAccess controlfine grained access rights according to SQL-standardUsers with fine-grained authentication, authorization, and auditing controlsnoRole based access control and fine grained access rights

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More resources
IBM Db2 Event StoreInformixSpark SQLStarRocks
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