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DBMS > Ehcache vs. JSqlDb vs. Microsoft Azure Table Storage vs. PouchDB vs. Teradata Aster

System Properties Comparison Ehcache vs. JSqlDb vs. Microsoft Azure Table Storage vs. PouchDB vs. Teradata Aster

Editorial information provided by DB-Engines
NameEhcache  Xexclude from comparisonJSqlDb  Xexclude from comparisonMicrosoft Azure Table Storage  Xexclude from comparisonPouchDB  Xexclude from comparisonTeradata Aster  Xexclude from comparison
JSqlDB seems to be discontinued. Therefore it is excluded from the DB-Engines ranking.Teradata Aster has been integrated into other Teradata systems and therefore will be removed from the DB-Engines ranking.
DescriptionA widely adopted Java cache with tiered storage optionsJavaScript Query Language Database, stores JavaScript objects and primitivesA Wide Column Store for rapid development using massive semi-structured datasetsJavaScript DBMS with an API inspired by CouchDBPlatform for big data analytics on multistructured data sources and types
Primary database modelKey-value storeDocument store
Object oriented DBMS
Wide column storeDocument storeRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score4.64
Rank#68  Overall
#8  Key-value stores
Score4.04
Rank#77  Overall
#6  Wide column stores
Score2.34
Rank#112  Overall
#21  Document stores
Websitewww.ehcache.orgjsqldb.org (offline)azure.microsoft.com/­en-us/­services/­storage/­tablespouchdb.com
Technical documentationwww.ehcache.org/­documentationpouchdb.com/­guides
DeveloperTerracotta Inc, owned by Software AGKonrad von BackstromMicrosoftApache Software FoundationTeradata
Initial release20092018201220122005
Current release3.10.0, March 20220.8, December 20187.1.1, June 2019
License infoCommercial or Open SourceOpen Source infoApache Version 2; commercial licenses availableOpen SourcecommercialOpen Sourcecommercial
Cloud-based only infoOnly available as a cloud servicenonoyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaJavaScript
Server operating systemsAll OS with a Java VMLinux
macOS
Windows
hostedserver-less, requires a JavaScript environment (browser, Node.js)Linux
Data schemeschema-freeschema-freeschema-freeschema-freeFlexible Schema (defined schema, partial schema, schema free) infodefined schema within the relational store; partial schema or schema free in the Aster File Store
Typing infopredefined data types such as float or dateyesnoyesnoyes
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.nonononoyes infoin Aster File Store
Secondary indexesnononoyes infovia viewsyes
SQL infoSupport of SQLnonononoyes
APIs and other access methodsJCacheRESTful HTTP APIHTTP REST infoonly for PouchDB Server
JavaScript API
ADO.NET
JDBC
ODBC
OLE DB
Supported programming languagesJavaJavaScript.Net
C#
C++
Java
JavaScript (Node.js)
PHP
Python
Ruby
JavaScriptC
C#
C++
Java
Python
R
Server-side scripts infoStored proceduresnofunctions in JavaScriptnoView functions in JavaScriptR packages
Triggersyes infoCache Event Listenersnonoyesno
Partitioning methods infoMethods for storing different data on different nodesSharding infoby using Terracotta ServernoneSharding infoImplicit feature of the cloud serviceSharding infowith a proxy-based framework, named couchdb-loungeSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyes infoby using Terracotta Servernoneyes infoimplicit feature of the cloud service. Replication either local, cross-facility or geo-redundant.Multi-source replication infoalso with CouchDB databases
Source-replica replication infoalso with CouchDB databases
yes infoDimension tables are replicated across all nodes in the cluster. The number of replicas for the file store can be configured.
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononoyesyes infoSQL Map-Reduce Framework
Consistency concepts infoMethods to ensure consistency in a distributed systemTunable Consistency (Strong, Eventual, Weak)Immediate ConsistencyEventual ConsistencyImmediate Consistency or Eventual Consistency depending on configuration
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 resourceoptimistic lockingnoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyes infousing a tiered cache-storage approachyes infousing RocksDByesyes infoby using IndexedDB, WebSQL or LevelDB as backendyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesnoyesno
User concepts infoAccess controlnoAccess rights based on private key authentication or shared access signaturesnofine grained access rights according to SQL-standard

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More resources
EhcacheJSqlDbMicrosoft Azure Table StoragePouchDBTeradata Aster
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