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DBMS > IBM Db2 Event Store vs. Ingres vs. KairosDB vs. SiteWhere vs. Sphinx

System Properties Comparison IBM Db2 Event Store vs. Ingres vs. KairosDB vs. SiteWhere vs. Sphinx

Editorial information provided by DB-Engines
NameIBM Db2 Event Store  Xexclude from comparisonIngres  Xexclude from comparisonKairosDB  Xexclude from comparisonSiteWhere  Xexclude from comparisonSphinx  Xexclude from comparison
DescriptionDistributed Event Store optimized for Internet of Things use casesWell established RDBMSDistributed Time Series DBMS based on Cassandra or H2M2M integration platform for persisting/querying time series dataOpen source search engine for searching in data from different sources, e.g. relational databases
Primary database modelEvent Store
Time Series DBMS
Relational DBMSTime Series DBMSTime Series DBMSSearch engine
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
Score4.11
Rank#81  Overall
#44  Relational DBMS
Score0.62
Rank#239  Overall
#20  Time Series DBMS
Score0.06
Rank#356  Overall
#35  Time Series DBMS
Score5.98
Rank#56  Overall
#5  Search engines
Websitewww.ibm.com/­products/­db2-event-storewww.actian.com/­databases/­ingresgithub.com/­kairosdb/­kairosdbgithub.com/­sitewhere/­sitewheresphinxsearch.com
Technical documentationwww.ibm.com/­docs/­en/­db2-event-storedocs.actian.com/­ingreskairosdb.github.iositewhere1.sitewhere.io/­index.htmlsphinxsearch.com/­docs
DeveloperIBMActian CorporationSiteWhereSphinx Technologies Inc.
Initial release20171974 infooriginally developed at University Berkely in early 1970s201320102001
Current release2.011.2, May 20221.2.2, November 20183.5.1, February 2023
License infoCommercial or Open Sourcecommercial infofree developer edition availablecommercialOpen Source infoApache 2.0Open Source infoCommon Public Attribution License Version 1.0Open Source infoGPL version 2, commercial licence available
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC and C++CJavaJavaC++
Server operating systemsLinux infoLinux, macOS, Windows for the developer additionAIX
HP Open VMS
HP-UX
Linux
Solaris
Windows
Linux
OS X
Windows
Linux
OS X
Windows
FreeBSD
Linux
NetBSD
OS X
Solaris
Windows
Data schemeyesyesschema-freepredefined schemeyes
Typing infopredefined data types such as float or dateyesyesyesyesno
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.nono infobut tools for importing/exporting data from/to XML-files availablenono
Secondary indexesnoyesnonoyes infofull-text index on all search fields
SQL infoSupport of SQLyes infothrough the embedded Spark runtimeyesnonoSQL-like query language (SphinxQL)
APIs and other access methodsADO.NET
DB2 Connect
JDBC
ODBC
RESTful HTTP API
.NET Client API
JDBC
ODBC
proprietary protocol (OpenAPI)
Graphite protocol
HTTP REST
Telnet API
HTTP RESTProprietary protocol
Supported programming languagesC
C#
C++
Cobol
Delphi
Fortran
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
R
Ruby
Scala
Visual Basic
Java
JavaScript infoNode.js
PHP
Python
C++ infounofficial client library
Java
Perl infounofficial client library
PHP
Python
Ruby infounofficial client library
Server-side scripts infoStored proceduresyesyesnono
Triggersnoyesnono
Partitioning methods infoMethods for storing different data on different nodesShardinghorizontal partitioning infoIngres Star to access multiple databases simultaneouslySharding infobased on CassandraSharding infobased on HBaseSharding infoPartitioning is done manually, search queries against distributed index is supported
Replication methods infoMethods for redundantly storing data on multiple nodesActive-active shard replicationIngres Replicatorselectable replication factor infobased on Cassandraselectable replication factor infobased on HBasenone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonononono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual ConsistencyImmediate ConsistencyEventual Consistency infobased on Cassandra
Immediate Consistency infobased on Cassandra
Immediate Consistency
Foreign keys infoReferential integritynoyesnonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDnonono
Concurrency infoSupport for concurrent manipulation of dataNo - written data is immutableyes infoMVCCyesyesyes
Durability infoSupport for making data persistentYes - Synchronous writes to local disk combined with replication and asynchronous writes in parquet format to permanent shared storageyesyesyesyes infoThe original contents of fields are not stored in the Sphinx index.
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesnonono
User concepts infoAccess controlfine grained access rights according to SQL-standardfine grained access rights according to SQL-standardsimple password-based access controlUsers with fine-grained authorization conceptno

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More resources
IBM Db2 Event StoreIngresKairosDBSiteWhereSphinx
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