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DBMS > Ehcache vs. GridDB vs. IBM Cloudant vs. Microsoft Azure Table Storage

System Properties Comparison Ehcache vs. GridDB vs. IBM Cloudant vs. Microsoft Azure Table Storage

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Editorial information provided by DB-Engines
NameEhcache  Xexclude from comparisonGridDB  Xexclude from comparisonIBM Cloudant  Xexclude from comparisonMicrosoft Azure Table Storage  Xexclude from comparison
DescriptionA widely adopted Java cache with tiered storage optionsScalable in-memory time series database optimized for IoT and Big DataDatabase as a Service offering based on Apache CouchDBA Wide Column Store for rapid development using massive semi-structured datasets
Primary database modelKey-value storeTime Series DBMSDocument storeWide column store
Secondary database modelsKey-value store
Relational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score4.89
Rank#67  Overall
#8  Key-value stores
Score1.95
Rank#128  Overall
#10  Time Series DBMS
Score2.68
Rank#106  Overall
#20  Document stores
Score4.48
Rank#75  Overall
#6  Wide column stores
Websitewww.ehcache.orggriddb.netwww.ibm.com/­products/­cloudantazure.microsoft.com/­en-us/­services/­storage/­tables
Technical documentationwww.ehcache.org/­documentationdocs.griddb.netcloud.ibm.com/­docs/­Cloudant
DeveloperTerracotta Inc, owned by Software AGToshiba CorporationIBM, Apache Software Foundation infoIBM acquired Cloudant in February 2014Microsoft
Initial release2009201320102012
Current release3.10.0, March 20225.1, August 2022
License infoCommercial or Open SourceOpen Source infoApache Version 2; commercial licenses availableOpen Source infoAGPL version 3 and Apache License, version 2.0 , commercial license (standard and advanced editions) also availablecommercialcommercial
Cloud-based only infoOnly available as a cloud servicenonoyesyes
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaC++Erlang
Server operating systemsAll OS with a Java VMLinuxhostedhosted
Data schemeschema-freeyesschema-freeschema-free
Typing infopredefined data types such as float or dateyesyes infonumerical, string, blob, geometry, boolean, timestampnoyes
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 indexesnoyesyesno
SQL infoSupport of SQLnoSQL92, SQL-like TQL (Toshiba Query Language)nono
APIs and other access methodsJCacheJDBC
ODBC
Proprietary protocol
RESTful HTTP/JSON API
RESTful HTTP/JSON APIRESTful HTTP API
Supported programming languagesJavaC
C++
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
Ruby
C#
Java
JavaScript
Objective-C
PHP
Ruby
.Net
C#
C++
Java
JavaScript (Node.js)
PHP
Python
Ruby
Server-side scripts infoStored proceduresnonoView functions (Map-Reduce) in JavaScriptno
Triggersyes infoCache Event Listenersyesyesno
Partitioning methods infoMethods for storing different data on different nodesSharding infoby using Terracotta ServerShardingShardingSharding infoImplicit feature of the cloud service
Replication methods infoMethods for redundantly storing data on multiple nodesyes infoby using Terracotta ServerSource-replica replicationMulti-source replication
Source-replica replication
yes infoimplicit feature of the cloud service. Replication either local, cross-facility or geo-redundant.
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoConnector for using GridDB as an input source and output destination for Hadoop MapReduce jobsyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemTunable Consistency (Strong, Eventual, Weak)Immediate consistency within container, eventual consistency across containersEventual ConsistencyImmediate Consistency
Foreign keys infoReferential integritynononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datayes infosupports JTA and can work as an XA resourceACID at container levelno infoatomic operations within a document possibleoptimistic locking
Concurrency infoSupport for concurrent manipulation of datayesyesyes infoOptimistic lockingyes
Durability infoSupport for making data persistentyes infousing a tiered cache-storage approachyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyesnono
User concepts infoAccess controlnoAccess rights for users can be defined per databaseAccess rights for users can be defined per databaseAccess rights based on private key authentication or shared access signatures
More information provided by the system vendor
EhcacheGridDBIBM CloudantMicrosoft Azure Table Storage
Specific characteristicsGridDB is a highly scalable, in-memory time series database optimized for IoT and...
» more
Competitive advantages1. Optimized for IoT Equipped with Toshiba's proprietary key-container data model...
» more
Typical application scenariosFactory IoT, Automative Industry, Energy, BEMS, Smart Community, Monitoring system.
» more
Key customersDenso International [see use case ] An Electric Power company [see use case ] Ishinomaki...
» more
Market metricsGitHub trending repository
» more
Licensing and pricing modelsOpen Source license (AGPL v3 & Apache v2) Commercial license (subscription)
» more

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EhcacheGridDBIBM CloudantMicrosoft Azure Table Storage
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