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DBMS > Ehcache vs. GeoSpock vs. IBM Db2 Event Store vs. LokiJS vs. PouchDB

System Properties Comparison Ehcache vs. GeoSpock vs. IBM Db2 Event Store vs. LokiJS vs. PouchDB

Editorial information provided by DB-Engines
NameEhcache  Xexclude from comparisonGeoSpock  Xexclude from comparisonIBM Db2 Event Store  Xexclude from comparisonLokiJS  Xexclude from comparisonPouchDB  Xexclude from comparison
GeoSpock seems to be discontinued. Therefore it will be excluded from the DB-Engines ranking.
DescriptionA widely adopted Java cache with tiered storage optionsSpatial and temporal data processing engine for extreme data scaleDistributed Event Store optimized for Internet of Things use casesIn-memory JavaScript DBMSJavaScript DBMS with an API inspired by CouchDB
Primary database modelKey-value storeRelational DBMSEvent Store
Time Series DBMS
Document storeDocument store
Secondary database modelsTime Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score4.64
Rank#68  Overall
#8  Key-value stores
Score0.27
Rank#309  Overall
#2  Event Stores
#28  Time Series DBMS
Score0.49
Rank#260  Overall
#42  Document stores
Score2.34
Rank#112  Overall
#21  Document stores
Websitewww.ehcache.orggeospock.comwww.ibm.com/­products/­db2-event-storegithub.com/­techfort/­LokiJSpouchdb.com
Technical documentationwww.ehcache.org/­documentationwww.ibm.com/­docs/­en/­db2-event-storetechfort.github.io/­LokiJSpouchdb.com/­guides
DeveloperTerracotta Inc, owned by Software AGGeoSpockIBMApache Software Foundation
Initial release2009201720142012
Current release3.10.0, March 20222.0, September 20192.07.1.1, June 2019
License infoCommercial or Open SourceOpen Source infoApache Version 2; commercial licenses availablecommercialcommercial infofree developer edition availableOpen SourceOpen Source
Cloud-based only infoOnly available as a cloud servicenoyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaJava, JavascriptC and C++JavaScriptJavaScript
Server operating systemsAll OS with a Java VMhostedLinux infoLinux, macOS, Windows for the developer additionserver-less, requires a JavaScript environment (browser, Node.js)server-less, requires a JavaScript environment (browser, Node.js)
Data schemeschema-freeyesyesschema-freeschema-free
Typing infopredefined data types such as float or dateyesyesyesnono
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.nonononono
Secondary indexesnotemporal, categoricalnoyes infovia viewsyes infovia views
SQL infoSupport of SQLnoANSI SQL for query only (using Presto)yes infothrough the embedded Spark runtimenono
APIs and other access methodsJCacheJDBCADO.NET
DB2 Connect
JDBC
ODBC
RESTful HTTP API
JavaScript APIHTTP REST infoonly for PouchDB Server
JavaScript API
Supported programming languagesJavaC
C#
C++
Cobol
Delphi
Fortran
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
R
Ruby
Scala
Visual Basic
JavaScriptJavaScript
Server-side scripts infoStored proceduresnonoyesView functions in JavaScriptView functions in JavaScript
Triggersyes infoCache Event Listenersnonoyesyes
Partitioning methods infoMethods for storing different data on different nodesSharding infoby using Terracotta ServerAutomatic shardingShardingnoneSharding infowith a proxy-based framework, named couchdb-lounge
Replication methods infoMethods for redundantly storing data on multiple nodesyes infoby using Terracotta ServerActive-active shard replicationnoneMulti-source replication infoalso with CouchDB databases
Source-replica replication infoalso with CouchDB databases
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononoyesyes
Consistency concepts infoMethods to ensure consistency in a distributed systemTunable Consistency (Strong, Eventual, Weak)Immediate ConsistencyEventual ConsistencynoneEventual Consistency
Foreign keys infoReferential integritynonononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datayes infosupports JTA and can work as an XA resourcenonono infoatomic operations within a single collection possibleno
Concurrency infoSupport for concurrent manipulation of datayesyesNo - written data is immutable
Durability infoSupport for making data persistentyes infousing a tiered cache-storage approachyesYes - Synchronous writes to local disk combined with replication and asynchronous writes in parquet format to permanent shared storageyes infoSerialization of a DB in a Node.JS/Cordova/PhoneGap environment. Usage of the IndexedDB-API in a browser.yes infoby using IndexedDB, WebSQL or LevelDB as backend
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesnoyesyesyes
User concepts infoAccess controlnoAccess rights for users can be defined per tablefine grained access rights according to SQL-standardnono

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More resources
EhcacheGeoSpockIBM Db2 Event StoreLokiJSPouchDB
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