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DBMS > Fujitsu Enterprise Postgres vs. Kinetica vs. Quasardb vs. Sequoiadb

System Properties Comparison Fujitsu Enterprise Postgres vs. Kinetica vs. Quasardb vs. Sequoiadb

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Editorial information provided by DB-Engines
NameFujitsu Enterprise Postgres  Xexclude from comparisonKinetica  Xexclude from comparisonQuasardb  Xexclude from comparisonSequoiadb  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.Fully vectorized database across both GPUs and CPUsDistributed, high-performance timeseries databaseNewSQL database with distributed OLTP and SQL
Primary database modelRelational DBMSRelational DBMSTime Series DBMSDocument store
Relational DBMS
Secondary database modelsDocument store
Spatial DBMS
Spatial DBMS
Time Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.37
Rank#278  Overall
#128  Relational DBMS
Score0.66
Rank#234  Overall
#107  Relational DBMS
Score0.21
Rank#322  Overall
#29  Time Series DBMS
Score0.50
Rank#258  Overall
#41  Document stores
#120  Relational DBMS
Websitewww.postgresql.fastware.comwww.kinetica.comquasar.aiwww.sequoiadb.com
Technical documentationwww.postgresql.fastware.com/­product-manualsdocs.kinetica.comdoc.quasar.ai/­masterwww.sequoiadb.com/­en/­index.php?m=Files&a=index
DeveloperPostgreSQL Global Development Group, Fujitsu Australia Software TechnologyKineticaquasardbSequoiadb Ltd.
Initial release201220092013
Current releaseFujitsu Enterprise Postgres 14, January 20227.1, August 20213.14.1, January 2024
License infoCommercial or Open Sourcecommercialcommercialcommercial infoFree community edition, Non-profit organizations and non-commercial usage are eligible for free licensesOpen Source infoServer: AGPL; Client: Apache V2
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageCC, C++C++C++
Server operating systemsLinux
Windows
LinuxBSD
Linux
OS X
Windows
Linux
Data schemeyesyesschema-freeschema-free
Typing infopredefined data types such as float or dateyesyesyes infointeger and binaryyes infooid, date, timestamp, binary, regex
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.nonono
Secondary indexesyesyesyes infowith tagsyes
SQL infoSupport of SQLyesSQL-like DML and DDL statementsSQL-like query languageSQL-like query language
APIs and other access methodsADO.NET
JDBC
native C library
ODBC
streaming API for large objects
JDBC
ODBC
RESTful HTTP API
HTTP APIproprietary protocol using JSON
Supported programming languages.Net
C
C++
Delphi
Java
JavaScript (Node.js)
Perl
PHP
Python
Tcl
C++
Java
JavaScript (Node.js)
Python
.Net
C
C#
C++
Go
Java
JavaScript (Node.js)
PHP
Python
R
.Net
C++
Java
PHP
Python
Server-side scripts infoStored proceduresuser defined functionsuser defined functionsnoJavaScript
Triggersyesyes infotriggers when inserted values for one or more columns fall within a specified rangenono
Partitioning methods infoMethods for storing different data on different nodespartitioning by range, list and by hashShardingSharding infoconsistent hashingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationSource-replica replicationSource-replica replication with selectable replication factorSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonowith Hadoop integrationno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency or Eventual Consistency depending on configurationImmediate ConsistencyEventual Consistency
Foreign keys infoReferential integrityyesyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnoACIDDocument is locked during a transaction
Concurrency infoSupport for concurrent manipulation of datayes, multi-version concurrency control (MVCC)yesyesyes
Durability infoSupport for making data persistentyesyesyes infoby using LevelDByes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yes infoGPU vRAM or System RAMyes infoTransient modeno
User concepts infoAccess controlfine grained access rights according to SQL-standardAccess rights for users and roles on table levelCryptographically strong user authentication and audit trailsimple password-based access control

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More resources
Fujitsu Enterprise PostgresKineticaQuasardbSequoiadb
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