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DBMS > Ehcache vs. Microsoft Azure Cosmos DB vs. SWC-DB

System Properties Comparison Ehcache vs. Microsoft Azure Cosmos DB vs. SWC-DB

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Editorial information provided by DB-Engines
NameEhcache  Xexclude from comparisonMicrosoft Azure Cosmos DB infoformer name was Azure DocumentDB  Xexclude from comparisonSWC-DB infoSuper Wide Column Database  Xexclude from comparison
DescriptionA widely adopted Java cache with tiered storage optionsGlobally distributed, horizontally scalable, multi-model database serviceA high performance, scalable Wide Column DBMS
Primary database modelKey-value storeDocument store
Graph DBMS
Key-value store
Wide column store
Wide column store
Secondary database modelsSpatial DBMSTime Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score6.09
Rank#65  Overall
#8  Key-value stores
Score40.04
Rank#26  Overall
#3  Document stores
#2  Graph DBMS
#3  Key-value stores
#3  Wide column stores
Score0.09
Rank#309  Overall
#13  Wide column stores
Websitewww.ehcache.orgazure.microsoft.com/­services/­cosmos-dbgithub.com/­kashirin-alex/­swc-db
www.swcdb.org
Technical documentationwww.ehcache.org/­documentationdocs.microsoft.com/­azure/­cosmos-db
DeveloperTerracotta Inc, owned by Software AGMicrosoftAlex Kashirin
Initial release200920142020
Current release3.9.6, September 20210.5, April 2021
License infoCommercial or Open SourceOpen Source infoApache Version 2; commercial licenses availablecommercialOpen Source infoGPL V3
Cloud-based only infoOnly available as a cloud servicenoyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaC++
Server operating systemsAll OS with a Java VMhostedLinux
Data schemeschema-freeschema-freeschema-free
Typing infopredefined data types such as float or dateyesyes infoJSON types
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.nono
Secondary indexesnoyes infoAll properties auto-indexed by default
SQL infoSupport of SQLnoSQL-like query languageSQL-like query language
APIs and other access methodsJCacheDocumentDB API
Graph API (Gremlin)
MongoDB API
RESTful HTTP API
Table API
Proprietary protocol
Thrift
Supported programming languagesJava.Net
C#
Java
JavaScript
JavaScript (Node.js)
MongoDB client drivers written for various programming languages
Python
C++
Server-side scripts infoStored proceduresnoJavaScriptno
Triggersyes infoCache Event ListenersJavaScriptno
Partitioning methods infoMethods for storing different data on different nodesSharding infoby using Terracotta ServerSharding infoImplicit feature of the cloud serviceSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyes infoby using Terracotta Serveryes infoImplicit feature of the cloud service
MapReduce infoOffers an API for user-defined Map/Reduce methodsnowith Hadoop integration infoIntegration with Hadoop/HDInsight on Azure*no
Consistency concepts infoMethods to ensure consistency in a distributed systemTunable Consistency (Strong, Eventual, Weak)Bounded Staleness
Consistent Prefix
Eventual Consistency
Immediate Consistency infoConsistency level configurable on request level
Session Consistency
Immediate Consistency
Foreign keys infoReferential integritynono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datayes infosupports JTA and can work as an XA resourceMulti-item ACID transactions with snapshot isolation within a partition
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyes infousing a tiered cache-storage approachyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesno
User concepts infoAccess controlnoAccess rights can be defined down to the item level

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More resources
EhcacheMicrosoft Azure Cosmos DB infoformer name was Azure DocumentDBSWC-DB infoSuper Wide Column Database
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