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DBMS > Fujitsu Enterprise Postgres vs. Interbase vs. Kdb vs. Realm

System Properties Comparison Fujitsu Enterprise Postgres vs. Interbase vs. Kdb vs. Realm

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Editorial information provided by DB-Engines
NameFujitsu Enterprise Postgres  Xexclude from comparisonInterbase  Xexclude from comparisonKdb  Xexclude from comparisonRealm  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.Light-weight proven RDBMS infooriginally from BorlandHigh performance Time Series DBMSA DBMS built for use on mobile devices that’s a fast, easy to use alternative to SQLite and Core Data
Primary database modelRelational DBMSRelational DBMSTime Series DBMS
Vector DBMS
Document store
Secondary database modelsDocument store
Spatial DBMS
Relational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.31
Rank#285  Overall
#129  Relational DBMS
Score4.61
Rank#72  Overall
#39  Relational DBMS
Score7.55
Rank#53  Overall
#3  Time Series DBMS
#1  Vector DBMS
Score7.60
Rank#52  Overall
#9  Document stores
Websitewww.postgresql.fastware.comwww.embarcadero.com/­products/­interbasekx.comrealm.io
Technical documentationwww.postgresql.fastware.com/­product-manualsdocs.embarcadero.com/­products/­interbasecode.kx.comrealm.io/­docs
DeveloperPostgreSQL Global Development Group, Fujitsu Australia Software TechnologyEmbarcaderoKx Systems, a division of First Derivatives plcRealm, acquired by MongoDB in May 2019
Initial release19842000 infokdb was released 2000, kdb+ in 20032014
Current releaseFujitsu Enterprise Postgres 14, January 2022InterBase 2020, December 20193.6, May 2018
License infoCommercial or Open Sourcecommercialcommercialcommercial infofree 32-bit versionOpen Source
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 languageCCq
Server operating systemsLinux
Windows
Android
iOS
Linux
OS X
Windows
Linux
OS X
Solaris
Windows
Android
Backend: server-less
iOS
Windows
Data schemeyesyesyesyes
Typing infopredefined data types such as float or dateyesyesyesyes
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 infoexport as XML data possibleyesno
Secondary indexesyesyesyes infotable attribute 'grouped'yes
SQL infoSupport of SQLyesyesSQL-like query language (q)no
APIs and other access methodsADO.NET
JDBC
native C library
ODBC
streaming API for large objects
ADO.NET
JDBC
ODBC
HTTP API
JDBC
Jupyter
Kafka
ODBC
WebSocket
Supported programming languages.Net
C
C++
Delphi
Java
JavaScript (Node.js)
Perl
PHP
Python
Tcl
.Net
C
C++
Delphi
Java
Object Pascal
PHP
Ruby
C
C#
C++
Go
J
Java
JavaScript
Lua
MatLab
Perl
PHP
Python
R
Scala
.Net
Java infowith Android only
Objective-C
React Native
Swift
Server-side scripts infoStored proceduresuser defined functionsyes infoInterbase procedure and trigger languageuser defined functionsno inforuns within the applications so server-side scripts are unnecessary
Triggersyesyesyes infowith viewsyes infoChange Listeners
Partitioning methods infoMethods for storing different data on different nodespartitioning by range, list and by hashnonehorizontal partitioningnone
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationInterbase Change ViewsSource-replica replicationnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonono infosimilar paradigm used for internal processingno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyesyesyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDnoACID
Concurrency infoSupport for concurrent manipulation of datayes, multi-version concurrency control (MVCC)yes infoMultiversion concurreny controlyes
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.yesyesyes infoIn-Memory realm
User concepts infoAccess controlfine grained access rights according to SQL-standardfine grained access rights according to SQL-standardrights management via user accountsyes
More information provided by the system vendor
Fujitsu Enterprise PostgresInterbaseKdbRealm
Specific characteristics100% compatible with community PostgreSQL
» more
Integrated columnar database & programming system for streaming, real time and historical...
» more
Competitive advantagesBuilt-in TDE and Data Masking security. In-Memory Columnar Index, and a high speed...
» more
provides seamless scalability; runs on industry standard server platforms; is top-ranked...
» more
Typical application scenariosTransactional payments applications, reporting and mixed workloads.
» more
tick database streaming sensor data massive intelligence applications oil and gas...
» more
Key customersGoldman Sachs Morgan Stanley Merrill Lynch J.P. Morgan Deutsche Bank IEX Securities...
» more
Market metricsOver 30 years experience in database technology. Over 20 years in Postgres development...
» more
kdb+ performance and reliability proven by our customers in critical infrastructure...
» more
Licensing and pricing modelsCore based licensing
» more
upon request
» more

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Fujitsu Enterprise PostgresInterbaseKdbRealm
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