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DBMS > EJDB vs. Fujitsu Enterprise Postgres vs. Oracle Berkeley DB vs. Oracle Rdb

System Properties Comparison EJDB vs. Fujitsu Enterprise Postgres vs. Oracle Berkeley DB vs. Oracle Rdb

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Editorial information provided by DB-Engines
NameEJDB  Xexclude from comparisonFujitsu Enterprise Postgres  Xexclude from comparisonOracle Berkeley DB  Xexclude from comparisonOracle Rdb  Xexclude from comparison
DescriptionEmbeddable document-store database library with JSON representation of queries (in MongoDB style)Enterprise-grade PostgreSQL-based DBMS with security enhancements such as Transparent Data Encryption and Data Masking, plus high-availability and performance improvement features.Widely used in-process key-value store
Primary database modelDocument storeRelational DBMSKey-value store infosupports sorted and unsorted key sets
Native XML DBMS infoin the Oracle Berkeley DB XML version
Relational DBMS
Secondary database modelsDocument store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.31
Rank#296  Overall
#44  Document stores
Score0.37
Rank#278  Overall
#128  Relational DBMS
Score2.01
Rank#126  Overall
#21  Key-value stores
#3  Native XML DBMS
Score1.14
Rank#178  Overall
#80  Relational DBMS
Websitegithub.com/­Softmotions/­ejdbwww.postgresql.fastware.comwww.oracle.com/­database/­technologies/­related/­berkeleydb.htmlwww.oracle.com/­database/­technologies/­related/­rdb.html
Technical documentationgithub.com/­Softmotions/­ejdb/­blob/­master/­README.mdwww.postgresql.fastware.com/­product-manualsdocs.oracle.com/­cd/­E17076_05/­html/­index.htmlwww.oracle.com/­database/­technologies/­related/­rdb-doc.html
DeveloperSoftmotionsPostgreSQL Global Development Group, Fujitsu Australia Software TechnologyOracle infooriginally developed by Sleepycat, which was acquired by OracleOracle, originally developed by Digital Equipment Corporation (DEC)
Initial release201219941984
Current releaseFujitsu Enterprise Postgres 14, January 202218.1.40, May 20207.4.1.1, 2021
License infoCommercial or Open SourceOpen Source infoGPLv2commercialOpen Source infocommercial license availablecommercial
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageCCC, Java, C++ (depending on the Berkeley DB edition)
Server operating systemsserver-lessLinux
Windows
AIX
Android
FreeBSD
iOS
Linux
OS X
Solaris
VxWorks
Windows
HP Open VMS
Data schemeschema-freeyesschema-freeFlexible Schema (defined schema, partial schema, schema free)
Typing infopredefined data types such as float or dateyes infostring, integer, double, bool, date, object_idyesnoyes
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.yes infoonly with the Berkeley DB XML editionno
Secondary indexesnoyesyesyes
SQL infoSupport of SQLnoyesyes infoSQL interfaced based on SQLite is availableyes
APIs and other access methodsin-process shared libraryADO.NET
JDBC
native C library
ODBC
streaming API for large objects
Supported programming languagesActionscript
C
C#
C++
Go
Java
JavaScript (Node.js)
Lua
Objective-C
Pike
Python
Ruby
.Net
C
C++
Delphi
Java
JavaScript (Node.js)
Perl
PHP
Python
Tcl
.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 proceduresnouser defined functionsno
Triggersnoyesyes infoonly for the SQL API
Partitioning methods infoMethods for storing different data on different nodesnonepartitioning by range, list and by hashnone
Replication methods infoMethods for redundantly storing data on multiple nodesnoneSource-replica replicationSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityno infotypically not needed, however similar functionality with collection joins possibleyesnoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDACIDyes, on a single node
Concurrency infoSupport for concurrent manipulation of datayes infoRead/Write Lockingyes, multi-version concurrency control (MVCC)yes
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.yesno
User concepts infoAccess controlnofine grained access rights according to SQL-standardno

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More resources
EJDBFujitsu Enterprise PostgresOracle Berkeley DBOracle Rdb
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