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DBMS > Ehcache vs. IBM Db2 Event Store vs. openGauss vs. searchxml

System Properties Comparison Ehcache vs. IBM Db2 Event Store vs. openGauss vs. searchxml

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Editorial information provided by DB-Engines
NameEhcache  Xexclude from comparisonIBM Db2 Event Store  Xexclude from comparisonopenGauss  Xexclude from comparisonsearchxml  Xexclude from comparison
DescriptionA widely adopted Java cache with tiered storage optionsDistributed Event Store optimized for Internet of Things use casesAn enterprise-class RDBMS compatible with high-performance, high-availability and high-performance originally developed by HuaweiDBMS for structured and unstructured content wrapped with an application server
Primary database modelKey-value storeEvent Store
Time Series DBMS
Relational DBMSNative XML DBMS
Search engine
Secondary database modelsDocument store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score4.89
Rank#67  Overall
#8  Key-value stores
Score0.19
Rank#323  Overall
#2  Event Stores
#28  Time Series DBMS
Score1.08
Rank#183  Overall
#84  Relational DBMS
Score0.00
Rank#383  Overall
#7  Native XML DBMS
#25  Search engines
Websitewww.ehcache.orgwww.ibm.com/­products/­db2-event-storegitee.com/­opengauss
opengauss.org
www.searchxml.net/­category/­products
Technical documentationwww.ehcache.org/­documentationwww.ibm.com/­docs/­en/­db2-event-storedocs.opengauss.org/­en
gitee.com/­opengauss/­docs
www.searchxml.net/­support/­handouts
DeveloperTerracotta Inc, owned by Software AGIBMHuawei and openGauss communityinformationpartners gmbh
Initial release2009201720192015
Current release3.10.0, March 20222.03.0, March 20221.0
License infoCommercial or Open SourceOpen Source infoApache Version 2; commercial licenses availablecommercial infofree developer edition availableOpen Sourcecommercial
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 languageJavaC and C++C, C++, JavaC++
Server operating systemsAll OS with a Java VMLinux infoLinux, macOS, Windows for the developer additionLinuxWindows
Data schemeschema-freeyesyesschema-free
Typing infopredefined data types such as float or dateyesyesyesyes
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.nononoyes
Secondary indexesnonoyesyes
SQL infoSupport of SQLnoyes infothrough the embedded Spark runtimeANSI SQL 2011no
APIs and other access methodsJCacheADO.NET
DB2 Connect
JDBC
ODBC
RESTful HTTP API
JDBC
ODBC
RESTful HTTP API
WebDAV
XQuery
XSLT
Supported programming languagesJavaC
C#
C++
Cobol
Delphi
Fortran
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
R
Ruby
Scala
Visual Basic
C
C++
Java
C++ infomost other programming languages supported via APIs
Server-side scripts infoStored proceduresnoyesyesyes infoon the application server
Triggersyes infoCache Event Listenersnoyesno
Partitioning methods infoMethods for storing different data on different nodesSharding infoby using Terracotta ServerShardinghorizontal partitioning (by range, list and hash)none
Replication methods infoMethods for redundantly storing data on multiple nodesyes infoby using Terracotta ServerActive-active shard replicationSource-replica replicationyes infosychronisation to multiple collections
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemTunable Consistency (Strong, Eventual, Weak)Eventual ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynonoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datayes infosupports JTA and can work as an XA resourcenoACIDmultiple readers, single writer
Concurrency infoSupport for concurrent manipulation of datayesNo - written data is immutableyesyes
Durability infoSupport for making data persistentyes infousing a tiered cache-storage approachYes - Synchronous writes to local disk combined with replication and asynchronous writes in parquet format to permanent shared storageyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyesnono
User concepts infoAccess controlnofine grained access rights according to SQL-standardAccess rights for users, groups and roles according to SQL-standardDomain, group and role-based access control at the document level and for application services

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More resources
EhcacheIBM Db2 Event StoreopenGausssearchxml
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