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DBMS > eXtremeDB vs. Fujitsu Enterprise Postgres vs. Oracle Berkeley DB vs. UniData,UniVerse

System Properties Comparison eXtremeDB vs. Fujitsu Enterprise Postgres vs. Oracle Berkeley DB vs. UniData,UniVerse

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Editorial information provided by DB-Engines
NameeXtremeDB  Xexclude from comparisonFujitsu Enterprise Postgres  Xexclude from comparisonOracle Berkeley DB  Xexclude from comparisonUniData,UniVerse  Xexclude from comparison
DescriptionNatively in-memory DBMS with options for persistency, high-availability and clusteringEnterprise-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 storeMultiValue database and application server with SQL mapping layer and meta database capabilities
Primary database modelRelational DBMS
Time Series DBMS
Relational DBMSKey-value store infosupports sorted and unsorted key sets
Native XML DBMS infoin the Oracle Berkeley DB XML version
Multivalue DBMS
Secondary database modelsDocument store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.79
Rank#212  Overall
#100  Relational DBMS
#18  Time Series DBMS
Score0.22
Rank#304  Overall
#137  Relational DBMS
Score1.88
Rank#130  Overall
#23  Key-value stores
#3  Native XML DBMS
Score2.25
Rank#112  Overall
#2  Multivalue DBMS
Websitewww.mcobject.comwww.postgresql.fastware.comwww.oracle.com/­database/­technologies/­related/­berkeleydb.htmlwww.rocketsoftware.com/­products/­rocket-multivalue-application-development-platform/­rocket-unidata
Technical documentationwww.mcobject.com/­docs/­extremedb.htmwww.postgresql.fastware.com/­product-manualsdocs.oracle.com/­cd/­E17076_05/­html/­index.htmldocs.rocketsoftware.com/­bundle?cluster=true&labelkey=unidata&labelkey=prod_unidata
DeveloperMcObjectPostgreSQL Global Development Group, Fujitsu Australia Software TechnologyOracle infooriginally developed by Sleepycat, which was acquired by OracleRocket Software
Initial release200119941985
Current release8.2, 2021Fujitsu Enterprise Postgres 14, January 202218.1.40, May 2020
License infoCommercial or Open SourcecommercialcommercialOpen Source infocommercial license availablecommercial
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC and C++CC, Java, C++ (depending on the Berkeley DB edition)C
Server operating systemsAIX
HP-UX
Linux
macOS
Solaris
Windows
Linux
Windows
AIX
Android
FreeBSD
iOS
Linux
OS X
Solaris
VxWorks
Windows
AIX
HP-UX
Linux
Solaris
Windows
Data schemeyesyesschema-freeschema-free
Typing infopredefined data types such as float or dateyesyesnooptional
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.no infosupport of XML interfaces availableyes infoonly with the Berkeley DB XML edition
Secondary indexesyesyesyesyes
SQL infoSupport of SQLyes infowith the option: eXtremeSQLyesyes infoSQL interfaced based on SQLite is availableyes
APIs and other access methods.NET Client API
JDBC
JNI
ODBC
Proprietary protocol
RESTful HTTP API
ADO.NET
JDBC
native C library
ODBC
streaming API for large objects
Java API infoJPA
JDBC
ODBC
OLE DB
Proprietary protocol
RESTful HTTP API
SOAP-based API
Supported programming languages.Net
C
C#
C++
Java
Lua
Python
Scala
.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
.Net
Basic infoU2 Basic
C
Java
Server-side scripts infoStored proceduresyesuser defined functionsnoyes
Triggersyes infoby defining eventsyesyes infoonly for the SQL APIyes infoU2 Basic
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioning / shardingpartitioning by range, list and by hashnonenone
Replication methods infoMethods for redundantly storing data on multiple nodesActive Replication Fabric™ for IoT
Multi-source replication infoby means of eXtremeDB Cluster option
Source-replica replication infoby means of eXtremeDB High Availability option
Source-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 Consistency
Foreign keys infoReferential integrityyesyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDACIDACID infoconfigurable
Concurrency infoSupport for concurrent manipulation of datayes infoOptimistic (MVCC) and pessimistic (locking) strategies availableyes, 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.yesyes
User concepts infoAccess controlfine grained access rights according to SQL-standardnoAccess rights according to SQL-standard and operating system based

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eXtremeDBFujitsu Enterprise PostgresOracle Berkeley DBUniData,UniVerse
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