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DBMS > Datomic vs. Fujitsu Enterprise Postgres vs. OpenEdge vs. Oracle Berkeley DB

System Properties Comparison Datomic vs. Fujitsu Enterprise Postgres vs. OpenEdge vs. Oracle Berkeley DB

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Editorial information provided by DB-Engines
NameDatomic  Xexclude from comparisonFujitsu Enterprise Postgres  Xexclude from comparisonOpenEdge  Xexclude from comparisonOracle Berkeley DB  Xexclude from comparison
DescriptionDatomic builds on immutable values, supports point-in-time queries and uses 3rd party systems for durabilityEnterprise-grade PostgreSQL-based DBMS with security enhancements such as Transparent Data Encryption and Data Masking, plus high-availability and performance improvement features.Application development environment with integrated database management systemWidely used in-process key-value store
Primary database modelRelational DBMSRelational DBMSRelational DBMSKey-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
Score1.47
Rank#145  Overall
#66  Relational DBMS
Score0.24
Rank#297  Overall
#134  Relational DBMS
Score3.56
Rank#78  Overall
#42  Relational DBMS
Score1.91
Rank#121  Overall
#20  Key-value stores
#3  Native XML DBMS
Websitewww.datomic.comwww.postgres.global.fujitsu.comwww.progress.com/­openedgewww.oracle.com/­database/­technologies/­related/­berkeleydb.html
Technical documentationdocs.datomic.comwww.postgres.global.fujitsu.com/­product-manualsdocumentation.progress.com/­output/­ua/­OpenEdge_latestdocs.oracle.com/­cd/­E17076_05/­html/­index.html
DeveloperCognitectFujitsu LimitedProgress Software CorporationOracle infooriginally developed by Sleepycat, which was acquired by Oracle
Initial release201219841994
Current release1.0.7180, July 2024Fujitsu Enterprise Postgres 16, May 2024OpenEdge 12.2, March 202018.1.40, May 2020
License infoCommercial or Open Sourcecommercial infolimited edition freecommercialcommercialOpen Source infocommercial license available
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJava, ClojureCC, Java, C++ (depending on the Berkeley DB edition)
Server operating systemsAll OS with a Java VMLinux
Windows
AIX
HP-UX
Linux
Solaris
Windows
AIX
Android
FreeBSD
iOS
Linux
OS X
Solaris
VxWorks
Windows
Data schemeyesyesyesschema-free
Typing infopredefined data types such as float or dateyesyesyesno
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.noyesyes infoonly with the Berkeley DB XML edition
Secondary indexesyesyesyesyes
SQL infoSupport of SQLnoyesyes infoclose to SQL 92yes infoSQL interfaced based on SQLite is available
APIs and other access methodsRESTful HTTP APIADO.NET
JDBC
native C library
ODBC
streaming API for large objects
JDBC
ODBC
Supported programming languagesClojure
Java
.Net
C
C++
Delphi
Java
JavaScript (Node.js)
Perl
PHP
Python
Tcl
Progress proprietary ABL (Advanced Business Language).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 proceduresyes infoTransaction Functionsuser defined functionsyesno
TriggersBy using transaction functionsyesyesyes infoonly for the SQL API
Partitioning methods infoMethods for storing different data on different nodesnone infoBut extensive use of caching in the application peerspartitioning by range, list and by hashhorizontal partitioning infosince Version 11.4none
Replication methods infoMethods for redundantly storing data on multiple nodesnone infoBut extensive use of caching in the application peersSource-replica replicationSource-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 ConsistencyImmediate Consistency
Foreign keys infoReferential integritynoyesyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyes, multi-version concurrency control (MVCC)yes
Durability infoSupport for making data persistentyes infousing external storage systems (e.g. Cassandra, DynamoDB, PostgreSQL, Couchbase and others)yesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yes inforecommended only for testing and developmentnoyes
User concepts infoAccess controlnofine grained access rights according to SQL-standardUsers and groupsno

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More resources
DatomicFujitsu Enterprise PostgresOpenEdgeOracle Berkeley DB
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