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DBMS > Ehcache vs. IBM Db2 Event Store vs. Linter vs. Microsoft Azure Table Storage

System Properties Comparison Ehcache vs. IBM Db2 Event Store vs. Linter vs. Microsoft Azure Table Storage

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Editorial information provided by DB-Engines
NameEhcache  Xexclude from comparisonIBM Db2 Event Store  Xexclude from comparisonLinter  Xexclude from comparisonMicrosoft Azure Table Storage  Xexclude from comparison
DescriptionA widely adopted Java cache with tiered storage optionsDistributed Event Store optimized for Internet of Things use casesRDBMS for high security requirementsA Wide Column Store for rapid development using massive semi-structured datasets
Primary database modelKey-value storeEvent Store
Time Series DBMS
Relational DBMSWide column store
Secondary database modelsSpatial 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
Score0.09
Rank#346  Overall
#152  Relational DBMS
Score4.48
Rank#75  Overall
#6  Wide column stores
Websitewww.ehcache.orgwww.ibm.com/­products/­db2-event-storelinter.ruazure.microsoft.com/­en-us/­services/­storage/­tables
Technical documentationwww.ehcache.org/­documentationwww.ibm.com/­docs/­en/­db2-event-store
DeveloperTerracotta Inc, owned by Software AGIBMrelex.ruMicrosoft
Initial release2009201719902012
Current release3.10.0, March 20222.0
License infoCommercial or Open SourceOpen Source infoApache Version 2; commercial licenses availablecommercial infofree developer edition availablecommercialcommercial
Cloud-based only infoOnly available as a cloud servicenononoyes
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaC and C++C and C++
Server operating systemsAll OS with a Java VMLinux infoLinux, macOS, Windows for the developer additionAIX
Android
BSD
HP Open VMS
iOS
Linux
OS X
VxWorks
Windows
hosted
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.nononono
Secondary indexesnonoyesno
SQL infoSupport of SQLnoyes infothrough the embedded Spark runtimeyesno
APIs and other access methodsJCacheADO.NET
DB2 Connect
JDBC
ODBC
RESTful HTTP API
ADO.NET
JDBC
LINQ
ODBC
OLE DB
Oracle Call Interface (OCI)
RESTful HTTP API
Supported programming languagesJavaC
C#
C++
Cobol
Delphi
Fortran
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
R
Ruby
Scala
Visual Basic
C
C#
C++
Java
Perl
PHP
Python
Qt
Ruby
Tcl
.Net
C#
C++
Java
JavaScript (Node.js)
PHP
Python
Ruby
Server-side scripts infoStored proceduresnoyesyes infoproprietary syntax with the possibility to convert from PL/SQLno
Triggersyes infoCache Event Listenersnoyesno
Partitioning methods infoMethods for storing different data on different nodesSharding infoby using Terracotta ServerShardingnoneSharding infoImplicit feature of the cloud service
Replication methods infoMethods for redundantly storing data on multiple nodesyes infoby using Terracotta ServerActive-active shard replicationSource-replica replicationyes infoimplicit feature of the cloud service. Replication either local, cross-facility or geo-redundant.
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 resourcenoACIDoptimistic locking
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.yesyesno
User concepts infoAccess controlnofine grained access rights according to SQL-standardfine grained access rights according to SQL-standardAccess rights based on private key authentication or shared access signatures

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More resources
EhcacheIBM Db2 Event StoreLinterMicrosoft Azure Table Storage
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