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DBMS > Fujitsu Enterprise Postgres vs. Memcached vs. Microsoft Access vs. Riak KV

System Properties Comparison Fujitsu Enterprise Postgres vs. Memcached vs. Microsoft Access vs. Riak KV

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Editorial information provided by DB-Engines
NameFujitsu Enterprise Postgres  Xexclude from comparisonMemcached  Xexclude from comparisonMicrosoft Access  Xexclude from comparisonRiak KV  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.In-memory key-value store, originally intended for cachingMicrosoft Access combines a backend RDBMS (JET / ACE Engine) with a GUI frontend for data manipulation and queries. infoThe Access frontend is often used for accessing other datasources (DBMS, Excel, etc.)Distributed, fault tolerant key-value store
Primary database modelRelational DBMSKey-value storeRelational DBMSKey-value store infowith links between data sets and object tags for the creation of secondary indexes
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
Score18.08
Rank#32  Overall
#4  Key-value stores
Score101.16
Rank#11  Overall
#8  Relational DBMS
Score4.01
Rank#79  Overall
#9  Key-value stores
Websitewww.postgresql.fastware.comwww.memcached.orgwww.microsoft.com/­en-us/­microsoft-365/­access
Technical documentationwww.postgresql.fastware.com/­product-manualsgithub.com/­memcached/­memcached/­wikideveloper.microsoft.com/­en-us/­accesswww.tiot.jp/­riak-docs/­riak/­kv/­latest
DeveloperPostgreSQL Global Development Group, Fujitsu Australia Software TechnologyDanga Interactive infooriginally developed by Brad Fitzpatrick for LiveJournalMicrosoftOpenSource, formerly Basho Technologies
Initial release200319922009
Current releaseFujitsu Enterprise Postgres 14, January 20221.6.27, May 20241902 (16.0.11328.20222), March 20193.2.0, December 2022
License infoCommercial or Open SourcecommercialOpen Source infoBSD licensecommercial infoBundled with Microsoft OfficeOpen Source infoApache version 2, commercial enterprise edition
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageCCC++Erlang
Server operating systemsLinux
Windows
FreeBSD
Linux
OS X
Unix
Windows
Windows infoNot a real database server, but making use of DLLsLinux
OS X
Data schemeyesschema-freeyesschema-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.no
Secondary indexesyesnoyesrestricted
SQL infoSupport of SQLyesnoyes infobut not compliant to any SQL standardno
APIs and other access methodsADO.NET
JDBC
native C library
ODBC
streaming API for large objects
Proprietary protocolADO.NET
DAO
ODBC
OLE DB
HTTP API
Native Erlang Interface
Supported programming languages.Net
C
C++
Delphi
Java
JavaScript (Node.js)
Perl
PHP
Python
Tcl
.Net
C
C++
ColdFusion
Erlang
Java
Lisp
Lua
OCaml
Perl
PHP
Python
Ruby
C
C#
C++
Delphi
Java (JDBC-ODBC)
VBA
Visual Basic.NET
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
Server-side scripts infoStored proceduresuser defined functionsnoyes infosince Access 2010 using the ACE-engineErlang
Triggersyesnoyes infosince Access 2010 using the ACE-engineyes infopre-commit hooks and post-commit hooks
Partitioning methods infoMethods for storing different data on different nodespartitioning by range, list and by hashnonenoneSharding infono "single point of failure"
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationnone infoRepcached, a Memcached patch, provides this functionallitynoneselectable replication factor
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononoyes
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual Consistency
Foreign keys infoReferential integrityyesnoyesno infolinks between data sets can be stored
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnoACID infobut no files for transaction loggingno
Concurrency infoSupport for concurrent manipulation of datayes, multi-version concurrency control (MVCC)yesyesyes
Durability infoSupport for making data persistentyesnoyes infobut no files for transaction loggingyes
User concepts infoAccess controlfine grained access rights according to SQL-standardyes infousing SASL (Simple Authentication and Security Layer) protocolno infoa simple user-level security was built in till version Access 2003yes, using Riak Security

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More resources
Fujitsu Enterprise PostgresMemcachedMicrosoft AccessRiak KV
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