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DBMS > Fujitsu Enterprise Postgres vs. Riak KV vs. Teradata Aster vs. Tkrzw

System Properties Comparison Fujitsu Enterprise Postgres vs. Riak KV vs. Teradata Aster vs. Tkrzw

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Editorial information provided by DB-Engines
NameFujitsu Enterprise Postgres  Xexclude from comparisonRiak KV  Xexclude from comparisonTeradata Aster  Xexclude from comparisonTkrzw infoSuccessor of Tokyo Cabinet and Kyoto Cabinet  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.Distributed, fault tolerant key-value storePlatform for big data analytics on multistructured data sources and typesA concept of libraries, allowing an application program to store and query key-value pairs in a file. Successor of Tokyo Cabinet and Kyoto Cabinet
Primary database modelRelational DBMSKey-value store infowith links between data sets and object tags for the creation of secondary indexesRelational DBMSKey-value store
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
Score4.01
Rank#79  Overall
#9  Key-value stores
Score0.07
Rank#372  Overall
#57  Key-value stores
Websitewww.postgresql.fastware.comdbmx.net/­tkrzw
Technical documentationwww.postgresql.fastware.com/­product-manualswww.tiot.jp/­riak-docs/­riak/­kv/­latest
DeveloperPostgreSQL Global Development Group, Fujitsu Australia Software TechnologyOpenSource, formerly Basho TechnologiesTeradataMikio Hirabayashi
Initial release200920052020
Current releaseFujitsu Enterprise Postgres 14, January 20223.2.0, December 20220.9.3, August 2020
License infoCommercial or Open SourcecommercialOpen Source infoApache version 2, commercial enterprise editioncommercialOpen Source infoApache Version 2.0
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageCErlangC++
Server operating systemsLinux
Windows
Linux
OS X
LinuxLinux
macOS
Data schemeyesschema-freeFlexible Schema (defined schema, partial schema, schema free) infodefined schema within the relational store; partial schema or schema free in the Aster File Storeschema-free
Typing infopredefined data types such as float or dateyesnoyesno
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.noyes infoin Aster File Storeno
Secondary indexesyesrestrictedyes
SQL infoSupport of SQLyesnoyesno
APIs and other access methodsADO.NET
JDBC
native C library
ODBC
streaming API for large objects
HTTP API
Native Erlang Interface
ADO.NET
JDBC
ODBC
OLE DB
Supported programming languages.Net
C
C++
Delphi
Java
JavaScript (Node.js)
Perl
PHP
Python
Tcl
C infounofficial client library
C#
C++ infounofficial client library
Clojure infounofficial client library
Dart infounofficial client library
Erlang
Go infounofficial client library
Groovy infounofficial client library
Haskell infounofficial client library
Java
JavaScript infounofficial client library
Lisp infounofficial client library
Perl infounofficial client library
PHP
Python
Ruby
Scala infounofficial client library
Smalltalk infounofficial client library
C
C#
C++
Java
Python
R
C++
Java
Python
Ruby
Server-side scripts infoStored proceduresuser defined functionsErlangR packagesno
Triggersyesyes infopre-commit hooks and post-commit hooksnono
Partitioning methods infoMethods for storing different data on different nodespartitioning by range, list and by hashSharding infono "single point of failure"Shardingnone
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationselectable replication factoryes infoDimension tables are replicated across all nodes in the cluster. The number of replicas for the file store can be configured.none
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesyes infoSQL Map-Reduce Frameworkno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual ConsistencyImmediate Consistency or Eventual Consistency depending on configurationImmediate Consistency
Foreign keys infoReferential integrityyesno infolinks between data sets can be storednono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnoACID
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.noyes infousing specific database classes
User concepts infoAccess controlfine grained access rights according to SQL-standardyes, using Riak Securityfine grained access rights according to SQL-standardno

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More resources
Fujitsu Enterprise PostgresRiak KVTeradata AsterTkrzw infoSuccessor of Tokyo Cabinet and Kyoto Cabinet
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