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DBMS > Fujitsu Enterprise Postgres vs. Kyligence Enterprise vs. SQream DB

System Properties Comparison Fujitsu Enterprise Postgres vs. Kyligence Enterprise vs. SQream DB

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Editorial information provided by DB-Engines
NameFujitsu Enterprise Postgres  Xexclude from comparisonKyligence Enterprise  Xexclude from comparisonSQream 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.A distributed analytics engine for big data, built on top of Apache Kylina GPU-based, columnar RDBMS for big data analytics workloads
Primary database modelRelational DBMSRelational DBMSRelational DBMS
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#266  Overall
#124  Relational DBMS
Score0.74
Rank#224  Overall
#103  Relational DBMS
Websitewww.postgresql.fastware.comkyligence.io/­kyligence-enterprisesqream.com
Technical documentationwww.postgresql.fastware.com/­product-manualsdocs.sqream.com
DeveloperPostgreSQL Global Development Group, Fujitsu Australia Software TechnologyKyligence, Inc.SQream Technologies
Initial release20162017
Current releaseFujitsu Enterprise Postgres 14, January 20222022.1.6, December 2022
License infoCommercial or Open Sourcecommercialcommercialcommercial
Cloud-based only infoOnly available as a cloud servicenonono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageCJavaC++, CUDA, Haskell, Java, Scala
Server operating systemsLinux
Windows
LinuxLinux
Data schemeyesyesyes
Typing infopredefined data types such as float or dateyesyesyes, ANSI Standard SQL Types
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
Secondary indexesyesyesno
SQL infoSupport of SQLyesANSI SQL for queries (using Apache Calcite)yes
APIs and other access methodsADO.NET
JDBC
native C library
ODBC
streaming API for large objects
JDBC
ODBC
RESTful HTTP API
.Net
JDBC
ODBC
Supported programming languages.Net
C
C++
Delphi
Java
JavaScript (Node.js)
Perl
PHP
Python
Tcl
C++
Java
JavaScript (Node.js)
Python
Server-side scripts infoStored proceduresuser defined functionsuser defined functions in Python
Triggersyesno
Partitioning methods infoMethods for storing different data on different nodespartitioning by range, list and by hashhorizontal and vertical partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACID
Concurrency infoSupport for concurrent manipulation of datayes, multi-version concurrency control (MVCC)yesyes
Durability infoSupport for making data persistentyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.no
User concepts infoAccess controlfine grained access rights according to SQL-standard

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More resources
Fujitsu Enterprise PostgresKyligence EnterpriseSQream DB
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