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DBMS > IBM Db2 Event Store vs. SAP SQL Anywhere vs. Solr vs. Splunk

System Properties Comparison IBM Db2 Event Store vs. SAP SQL Anywhere vs. Solr vs. Splunk

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Editorial information provided by DB-Engines
NameIBM Db2 Event Store  Xexclude from comparisonSAP SQL Anywhere infoformerly called Adaptive Server Anywhere  Xexclude from comparisonSolr  Xexclude from comparisonSplunk  Xexclude from comparison
DescriptionDistributed Event Store optimized for Internet of Things use casesRDBMS database and synchronization technologies for server, desktop, remote office, and mobile environmentsA widely used distributed, scalable search engine based on Apache LuceneAnalytics Platform for Big Data
Primary database modelEvent Store
Time Series DBMS
Relational DBMSSearch engineSearch engine
Secondary database modelsSpatial 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
Score4.25
Rank#79  Overall
#43  Relational DBMS
Score42.91
Rank#24  Overall
#3  Search engines
Score86.45
Rank#14  Overall
#2  Search engines
Websitewww.ibm.com/­products/­db2-event-storewww.sap.com/­products/­technology-platform/­sql-anywhere.htmlsolr.apache.orgwww.splunk.com
Technical documentationwww.ibm.com/­docs/­en/­db2-event-storehelp.sap.com/­docs/­SAP_SQL_Anywheresolr.apache.org/­resources.htmldocs.splunk.com/­Documentation/­Splunk
DeveloperIBMSAP infoformerly SybaseApache Software FoundationSplunk Inc.
Initial release2017199220062003
Current release2.017, July 20159.6.0, April 2024
License infoCommercial or Open Sourcecommercial infofree developer edition availablecommercialOpen Source infoApache Version 2commercial infoLimited free edition and free developer edition available
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++Java
Server operating systemsLinux infoLinux, macOS, Windows for the developer additionAIX
HP-UX
Linux
OS X
Solaris
Windows
All OS with a Java VM inforuns as a servlet in servlet container (e.g. Tomcat, Jetty is included)Linux
OS X
Solaris
Windows
Data schemeyesyesyes infoDynamic Fields enables on-the-fly addition of new fieldsyes
Typing infopredefined data types such as float or dateyesyesyes infosupports customizable data types and automatic typingyes
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.noyesyesyes
Secondary indexesnoyesyes infoAll search fields are automatically indexedyes
SQL infoSupport of SQLyes infothrough the embedded Spark runtimeyesSolr Parallel SQL Interfaceno infoSplunk Search Processing Language for search commands
APIs and other access methodsADO.NET
DB2 Connect
JDBC
ODBC
RESTful HTTP API
ADO.NET
HTTP API
JDBC
ODBC
Java API
RESTful HTTP/JSON API
HTTP REST
Supported programming languagesC
C#
C++
Cobol
Delphi
Fortran
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
R
Ruby
Scala
Visual Basic
C
C#
C++
Delphi
Java
JavaScript (Node.js)
Perl
PHP
Python
Ruby
.Net
Erlang
Java
JavaScript
any language that supports sockets and either XML or JSON
Perl
PHP
Python
Ruby
Scala
C#
Java
JavaScript
PHP
Python
Ruby
Server-side scripts infoStored proceduresyesyes, in C/C++, Java, .Net or PerlJava pluginsyes
Triggersnoyesyes infoUser configurable commands triggered on index changesyes
Partitioning methods infoMethods for storing different data on different nodesShardingnoneShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesActive-active shard replicationSource-replica replication infoDatabase mirroringyesMulti-source replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonospark-solr: github.com/­lucidworks/­spark-solr and streaming expressions to reduceyes
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual ConsistencyImmediate ConsistencyEventual ConsistencyEventual Consistency
Foreign keys infoReferential integritynoyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDoptimistic lockingno infoA 'Transaction' in Splunk has a different meaning: grouping related events into a single one for later searching
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.yesyesyesno
User concepts infoAccess controlfine grained access rights according to SQL-standardfine grained access rights according to SQL-standardyesAccess rights for users and roles

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More resources
IBM Db2 Event StoreSAP SQL Anywhere infoformerly called Adaptive Server AnywhereSolrSplunk
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