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DBMS > Ehcache vs. Fujitsu Enterprise Postgres vs. IBM Cloudant vs. Microsoft Azure Table Storage

System Properties Comparison Ehcache vs. Fujitsu Enterprise Postgres vs. IBM Cloudant vs. Microsoft Azure Table Storage

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Editorial information provided by DB-Engines
NameEhcache  Xexclude from comparisonFujitsu Enterprise Postgres  Xexclude from comparisonIBM Cloudant  Xexclude from comparisonMicrosoft Azure Table Storage  Xexclude from comparison
DescriptionA widely adopted Java cache with tiered storage optionsEnterprise-grade PostgreSQL-based DBMS with security enhancements such as Transparent Data Encryption and Data Masking, plus high-availability and performance improvement features.Database as a Service offering based on Apache CouchDBA Wide Column Store for rapid development using massive semi-structured datasets
Primary database modelKey-value storeRelational DBMSDocument storeWide column store
Secondary database modelsDocument store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score4.89
Rank#67  Overall
#8  Key-value stores
Score0.31
Rank#285  Overall
#129  Relational DBMS
Score2.68
Rank#106  Overall
#20  Document stores
Score4.48
Rank#75  Overall
#6  Wide column stores
Websitewww.ehcache.orgwww.postgresql.fastware.comwww.ibm.com/­products/­cloudantazure.microsoft.com/­en-us/­services/­storage/­tables
Technical documentationwww.ehcache.org/­documentationwww.postgresql.fastware.com/­product-manualscloud.ibm.com/­docs/­Cloudant
DeveloperTerracotta Inc, owned by Software AGPostgreSQL Global Development Group, Fujitsu Australia Software TechnologyIBM, Apache Software Foundation infoIBM acquired Cloudant in February 2014Microsoft
Initial release200920102012
Current release3.10.0, March 2022Fujitsu Enterprise Postgres 14, January 2022
License infoCommercial or Open SourceOpen Source infoApache Version 2; commercial licenses availablecommercialcommercialcommercial
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 languageJavaCErlang
Server operating systemsAll OS with a Java VMLinux
Windows
hostedhosted
Data schemeschema-freeyesschema-freeschema-free
Typing infopredefined data types such as float or dateyesyesnoyes
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.nonono
Secondary indexesnoyesyesno
SQL infoSupport of SQLnoyesnono
APIs and other access methodsJCacheADO.NET
JDBC
native C library
ODBC
streaming API for large objects
RESTful HTTP/JSON APIRESTful HTTP API
Supported programming languagesJava.Net
C
C++
Delphi
Java
JavaScript (Node.js)
Perl
PHP
Python
Tcl
C#
Java
JavaScript
Objective-C
PHP
Ruby
.Net
C#
C++
Java
JavaScript (Node.js)
PHP
Python
Ruby
Server-side scripts infoStored proceduresnouser defined functionsView functions (Map-Reduce) in JavaScriptno
Triggersyes infoCache Event Listenersyesyesno
Partitioning methods infoMethods for storing different data on different nodesSharding infoby using Terracotta Serverpartitioning by range, list and by hashShardingSharding 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 methodsnonoyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemTunable Consistency (Strong, Eventual, Weak)Immediate ConsistencyEventual ConsistencyImmediate Consistency
Foreign keys infoReferential integritynoyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datayes infosupports JTA and can work as an XA resourceACIDno infoatomic operations within a document possibleoptimistic locking
Concurrency infoSupport for concurrent manipulation of datayesyes, multi-version concurrency control (MVCC)yes 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.yesnono
User concepts infoAccess controlnofine grained access rights according to SQL-standardAccess 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
EhcacheFujitsu Enterprise PostgresIBM CloudantMicrosoft Azure Table Storage
Specific characteristics100% compatible with community PostgreSQL
» more
Competitive advantagesBuilt-in TDE and Data Masking security. In-Memory Columnar Index, and a high speed...
» more
Typical application scenariosTransactional payments applications, reporting and mixed workloads.
» more
Market metricsOver 30 years experience in database technology. Over 20 years in Postgres development...
» more
Licensing and pricing modelsCore based licensing
» more

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EhcacheFujitsu Enterprise PostgresIBM CloudantMicrosoft Azure Table Storage
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