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DBMS > IBM Db2 Event Store vs. mSQL vs. Sphinx vs. StarRocks

System Properties Comparison IBM Db2 Event Store vs. mSQL vs. Sphinx vs. StarRocks

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Editorial information provided by DB-Engines
NameIBM Db2 Event Store  Xexclude from comparisonmSQL infoMini SQL  Xexclude from comparisonSphinx  Xexclude from comparisonStarRocks  Xexclude from comparison
DescriptionDistributed Event Store optimized for Internet of Things use casesmSQL (Mini SQL) is a simple and lightweight RDBMSOpen source search engine for searching in data from different sources, e.g. relational databasesAn 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 DBMSSearch engineRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.19
Rank#323  Overall
#2  Event Stores
#28  Time Series DBMS
Score1.27
Rank#167  Overall
#77  Relational DBMS
Score5.98
Rank#56  Overall
#5  Search engines
Score1.04
Rank#189  Overall
#88  Relational DBMS
Websitewww.ibm.com/­products/­db2-event-storehughestech.com.au/­products/­msqlsphinxsearch.comwww.starrocks.io
Technical documentationwww.ibm.com/­docs/­en/­db2-event-storesphinxsearch.com/­docsdocs.starrocks.io/­en-us/­latest/­introduction/­StarRocks_intro
DeveloperIBMHughes TechnologiesSphinx Technologies Inc.The Linux Foundation infosince Feb 2023
Initial release2017199420012020
Current release2.04.4, October 20213.5.1, February 20232.5.3, March 2023
License infoCommercial or Open Sourcecommercial infofree developer edition availablecommercial infofree licenses can be providedOpen Source infoGPL version 2, commercial licence availableOpen Source infoApache Version 2.0
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC and C++CC++C++, Java
Server operating systemsLinux infoLinux, macOS, Windows for the developer additionAIX
HP-UX
Linux
OS X
Solaris SPARC/x86
Windows
FreeBSD
Linux
NetBSD
OS X
Solaris
Windows
Linux
Data schemeyesyesyesyes
Typing infopredefined data types such as float or dateyesyesnoyes
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 indexesnoyesyes infofull-text index on all search fieldsyes
SQL infoSupport of SQLyes infothrough the embedded Spark runtimeA subset of ANSI SQL is implemented infono subqueries, aggregate functions, views, foreign keys, triggersSQL-like query language (SphinxQL)yes
APIs and other access methodsADO.NET
DB2 Connect
JDBC
ODBC
RESTful HTTP API
JDBC
ODBC
Proprietary protocolJDBC
MySQL protocol
Supported programming languagesC
C#
C++
Cobol
Delphi
Fortran
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
R
Ruby
Scala
Visual Basic
C
C++
Delphi
Java
Perl
PHP
Tcl
C++ infounofficial client library
Java
Perl infounofficial client library
PHP
Python
Ruby infounofficial client library
Java
Server-side scripts infoStored proceduresyesnonouser defined functions
Triggersnononono
Partitioning methods infoMethods for storing different data on different nodesShardingnoneSharding infoPartitioning is done manually, search queries against distributed index is supportedhorizontal partitioning (by range and hash)
Replication methods infoMethods for redundantly storing data on multiple nodesActive-active shard replicationnonenone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual ConsistencynoneImmediate Consistency
Foreign keys infoReferential integritynononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanononono
Concurrency infoSupport for concurrent manipulation of dataNo - written data is immutablenoyesyes
Durability infoSupport for making data persistentYes - Synchronous writes to local disk combined with replication and asynchronous writes in parquet format to permanent shared storageyesyes infoThe original contents of fields are not stored in the Sphinx index.yes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesnono
User concepts infoAccess controlfine grained access rights according to SQL-standardnonoRole based access control and fine grained access rights

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More resources
IBM Db2 Event StoremSQL infoMini SQLSphinxStarRocks
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