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DBMS > Fujitsu Enterprise Postgres vs. Heroic vs. IBM Cloudant vs. Oracle Berkeley DB

System Properties Comparison Fujitsu Enterprise Postgres vs. Heroic vs. IBM Cloudant vs. Oracle Berkeley DB

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Editorial information provided by DB-Engines
NameFujitsu Enterprise Postgres  Xexclude from comparisonHeroic  Xexclude from comparisonIBM Cloudant  Xexclude from comparisonOracle Berkeley DB  Xexclude from comparison
DescriptionEnterprise-grade PostgreSQL-based DBMS with security enhancements such as Transparent Data Encryption and Data Masking, plus high-availability and performance improvement features.Time Series DBMS built at Spotify based on Cassandra or Google Cloud Bigtable, and ElasticSearchDatabase as a Service offering based on Apache CouchDBWidely used in-process key-value store
Primary database modelRelational DBMSTime Series DBMSDocument storeKey-value store infosupports sorted and unsorted key sets
Native XML DBMS infoin the Oracle Berkeley DB XML version
Secondary database modelsDocument store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.37
Rank#278  Overall
#128  Relational DBMS
Score0.46
Rank#265  Overall
#22  Time Series DBMS
Score2.75
Rank#104  Overall
#19  Document stores
Score2.01
Rank#126  Overall
#21  Key-value stores
#3  Native XML DBMS
Websitewww.postgresql.fastware.comgithub.com/­spotify/­heroicwww.ibm.com/­products/­cloudantwww.oracle.com/­database/­technologies/­related/­berkeleydb.html
Technical documentationwww.postgresql.fastware.com/­product-manualsspotify.github.io/­heroiccloud.ibm.com/­docs/­Cloudantdocs.oracle.com/­cd/­E17076_05/­html/­index.html
DeveloperPostgreSQL Global Development Group, Fujitsu Australia Software TechnologySpotifyIBM, Apache Software Foundation infoIBM acquired Cloudant in February 2014Oracle infooriginally developed by Sleepycat, which was acquired by Oracle
Initial release201420101994
Current releaseFujitsu Enterprise Postgres 14, January 202218.1.40, May 2020
License infoCommercial or Open SourcecommercialOpen Source infoApache 2.0commercialOpen Source infocommercial license available
Cloud-based only infoOnly available as a cloud servicenonoyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageCJavaErlangC, Java, C++ (depending on the Berkeley DB edition)
Server operating systemsLinux
Windows
hostedAIX
Android
FreeBSD
iOS
Linux
OS X
Solaris
VxWorks
Windows
Data schemeyesschema-freeschema-freeschema-free
Typing infopredefined data types such as float or dateyesyesnono
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.nonoyes infoonly with the Berkeley DB XML edition
Secondary indexesyesyes infovia Elasticsearchyesyes
SQL infoSupport of SQLyesnonoyes infoSQL interfaced based on SQLite is available
APIs and other access methodsADO.NET
JDBC
native C library
ODBC
streaming API for large objects
HQL (Heroic Query Language, a JSON-based language)
HTTP API
RESTful HTTP/JSON API
Supported programming languages.Net
C
C++
Delphi
Java
JavaScript (Node.js)
Perl
PHP
Python
Tcl
C#
Java
JavaScript
Objective-C
PHP
Ruby
.Net infoFigaro is a .Net framework assembly that extends Berkeley DB XML into an embeddable database engine for .NET
others infoThird-party libraries to manipulate Berkeley DB files are available for many languages
C
C#
C++
Java
JavaScript (Node.js) info3rd party binding
Perl
Python
Tcl
Server-side scripts infoStored proceduresuser defined functionsnoView functions (Map-Reduce) in JavaScriptno
Triggersyesnoyesyes infoonly for the SQL API
Partitioning methods infoMethods for storing different data on different nodespartitioning by range, list and by hashShardingShardingnone
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationyesMulti-source replication
Source-replica replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual Consistency
Immediate Consistency
Eventual Consistency
Foreign keys infoReferential integrityyesnonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnono infoatomic operations within a document possibleACID
Concurrency infoSupport for concurrent manipulation of datayes, multi-version concurrency control (MVCC)yesyes infoOptimistic locking
Durability infoSupport for making data persistentyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nonoyes
User concepts infoAccess controlfine grained access rights according to SQL-standardAccess rights for users can be defined per databaseno

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More resources
Fujitsu Enterprise PostgresHeroicIBM CloudantOracle Berkeley DB
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