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DBMS > Fujitsu Enterprise Postgres vs. Kyligence Enterprise vs. OrientDB vs. Teradata Aster

System Properties Comparison Fujitsu Enterprise Postgres vs. Kyligence Enterprise vs. OrientDB vs. Teradata Aster

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Editorial information provided by DB-Engines
NameFujitsu Enterprise Postgres  Xexclude from comparisonKyligence Enterprise  Xexclude from comparisonOrientDB  Xexclude from comparisonTeradata Aster  Xexclude from comparison
Teradata Aster has been integrated into other Teradata systems and therefore will be removed from the DB-Engines ranking.
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 KylinMulti-model DBMS (Document, Graph, Key/Value)Platform for big data analytics on multistructured data sources and types
Primary database modelRelational DBMSRelational DBMSDocument store
Graph DBMS
Key-value store
Relational DBMS
Secondary database modelsDocument store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.22
Rank#304  Overall
#137  Relational DBMS
Score0.44
Rank#259  Overall
#118  Relational DBMS
Score3.02
Rank#88  Overall
#16  Document stores
#6  Graph DBMS
#12  Key-value stores
Websitewww.postgresql.fastware.comkyligence.io/­kyligence-enterpriseorientdb.org
Technical documentationwww.postgresql.fastware.com/­product-manualswww.orientdb.com/­docs/­last/­index.html
DeveloperPostgreSQL Global Development Group, Fujitsu Australia Software TechnologyKyligence, Inc.OrientDB LTD; CallidusCloud; SAPTeradata
Initial release201620102005
Current releaseFujitsu Enterprise Postgres 14, January 20223.2.29, March 2024
License infoCommercial or Open SourcecommercialcommercialOpen Source infoApache version 2commercial
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 languageCJavaJava
Server operating systemsLinux
Windows
LinuxAll OS with a Java JDK (>= JDK 6)Linux
Data schemeyesyesschema-free infoSchema can be enforced for whole record ("schema-full") or for some fields only ("schema-hybrid")Flexible Schema (defined schema, partial schema, schema free) infodefined schema within the relational store; partial schema or schema free in the Aster File Store
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.nonoyes infoin Aster File Store
Secondary indexesyesyesyesyes
SQL infoSupport of SQLyesANSI SQL for queries (using Apache Calcite)SQL-like query language, no joinsyes
APIs and other access methodsADO.NET
JDBC
native C library
ODBC
streaming API for large objects
JDBC
ODBC
RESTful HTTP API
Tinkerpop technology stack with Blueprints, Gremlin, Pipes
Java API
RESTful HTTP/JSON API
ADO.NET
JDBC
ODBC
OLE DB
Supported programming languages.Net
C
C++
Delphi
Java
JavaScript (Node.js)
Perl
PHP
Python
Tcl
.Net
C
C#
C++
Clojure
Java
JavaScript
JavaScript (Node.js)
PHP
Python
Ruby
Scala
C
C#
C++
Java
Python
R
Server-side scripts infoStored proceduresuser defined functionsJava, JavascriptR packages
TriggersyesHooksno
Partitioning methods infoMethods for storing different data on different nodespartitioning by range, list and by hashShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationMulti-source replicationyes infoDimension tables are replicated across all nodes in the cluster. The number of replicas for the file store can be configured.
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesno infocould be achieved with distributed queriesyes infoSQL Map-Reduce Framework
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate Consistency or Eventual Consistency depending on configuration
Foreign keys infoReferential integrityyesyes inforelationship in graphsno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDACID
Concurrency infoSupport for concurrent manipulation of datayes, multi-version concurrency control (MVCC)yesyesyes
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.nono
User concepts infoAccess controlfine grained access rights according to SQL-standardAccess rights for users and roles; record level security configurablefine grained access rights according to SQL-standard

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More resources
Fujitsu Enterprise PostgresKyligence EnterpriseOrientDBTeradata Aster
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