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DBMS > Fujitsu Enterprise Postgres vs. Ingres vs. MarkLogic vs. Sadas Engine vs. Yanza

System Properties Comparison Fujitsu Enterprise Postgres vs. Ingres vs. MarkLogic vs. Sadas Engine vs. Yanza

Editorial information provided by DB-Engines
NameFujitsu Enterprise Postgres  Xexclude from comparisonIngres  Xexclude from comparisonMarkLogic  Xexclude from comparisonSadas Engine  Xexclude from comparisonYanza  Xexclude from comparison
Yanza seems to be discontinued. Therefore it is excluded 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.Well established RDBMSOperational and transactional Enterprise NoSQL databaseSADAS Engine is a columnar DBMS specifically designed for high performance in data warehouse environmentsTime Series DBMS for IoT Applications
Primary database modelRelational DBMSRelational DBMSDocument store
Native XML DBMS
RDF store infoas of version 7
Search engine
Relational DBMSTime Series DBMS
Secondary database modelsDocument store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.31
Rank#285  Overall
#129  Relational DBMS
Score4.11
Rank#81  Overall
#44  Relational DBMS
Score5.92
Rank#58  Overall
#10  Document stores
#1  Native XML DBMS
#1  RDF stores
#6  Search engines
Score0.00
Rank#383  Overall
#158  Relational DBMS
Websitewww.postgresql.fastware.comwww.actian.com/­databases/­ingreswww.marklogic.comwww.sadasengine.comyanza.com
Technical documentationwww.postgresql.fastware.com/­product-manualsdocs.actian.com/­ingresdocs.marklogic.comwww.sadasengine.com/­en/­sadas-engine-download-free-trial-and-documentation/­#documentation
DeveloperPostgreSQL Global Development Group, Fujitsu Australia Software TechnologyActian CorporationMarkLogic Corp.SADAS s.r.l.Yanza
Initial release1974 infooriginally developed at University Berkely in early 1970s200120062015
Current releaseFujitsu Enterprise Postgres 14, January 202211.2, May 202211.0, December 20228.0
License infoCommercial or Open Sourcecommercialcommercialcommercial inforestricted free version is availablecommercial infofree trial version availablecommercial infofree version available
Cloud-based only infoOnly available as a cloud servicenonononono infobut mainly used as a service provided by Yanza
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageCCC++C++
Server operating systemsLinux
Windows
AIX
HP Open VMS
HP-UX
Linux
Solaris
Windows
Linux
OS X
Windows
AIX
Linux
Windows
Windows
Data schemeyesyesschema-free infoSchema can be enforcedyesschema-free
Typing infopredefined data types such as float or dateyesyesyesyesno
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 infobut tools for importing/exporting data from/to XML-files availableyesnono
Secondary indexesyesyesyesyesno
SQL infoSupport of SQLyesyesyes infoSQL92yesno
APIs and other access methodsADO.NET
JDBC
native C library
ODBC
streaming API for large objects
.NET Client API
JDBC
ODBC
proprietary protocol (OpenAPI)
Java API
Node.js Client API
ODBC
proprietary Optic API infoProprietary Query API, introduced with version 9
RESTful HTTP API
SPARQL
WebDAV
XDBC
XQuery
XSLT
JDBC
ODBC
Proprietary protocol
HTTP API
Supported programming languages.Net
C
C++
Delphi
Java
JavaScript (Node.js)
Perl
PHP
Python
Tcl
C
C#
C++
Java
JavaScript (Node.js)
Perl
PHP
Python
Ruby
.Net
C
C#
C++
Groovy
Java
PHP
Python
any language that supports HTTP calls
Server-side scripts infoStored proceduresuser defined functionsyesyes infovia XQuery or JavaScriptnono
Triggersyesyesyesnoyes infoTimer and event based
Partitioning methods infoMethods for storing different data on different nodespartitioning by range, list and by hashhorizontal partitioning infoIngres Star to access multiple databases simultaneouslyShardinghorizontal partitioningnone
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationIngres Replicatoryesnonenone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyes infovia Hadoop Connector, HDFS Direct Access and in-database MapReduce jobsnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyesyesnoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDACID infocan act as a resource manager in an XA/JTA transactionno
Concurrency infoSupport for concurrent manipulation of datayes, multi-version concurrency control (MVCC)yes infoMVCCyesyesyes
Durability infoSupport for making data persistentyesyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyes, with Range Indexesyes infomanaged by 'Learn by Usage'
User concepts infoAccess controlfine grained access rights according to SQL-standardfine grained access rights according to SQL-standardRole-based access control at the document and subdocument levelsAccess rights for users, groups and roles according to SQL-standardno
More information provided by the system vendor
Fujitsu Enterprise PostgresIngresMarkLogicSadas EngineYanza
Specific characteristics100% compatible with community PostgreSQL
» more
Competitive advantagesBuilt-in TDE and Data Masking security. In-Memory Columnar Index, and a high speed...
» more
Typical application scenariosTransactional payments applications, reporting and mixed workloads.
» more
Market metricsOver 30 years experience in database technology. Over 20 years in Postgres development...
» more
Licensing and pricing modelsCore based licensing
» more

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More resources
Fujitsu Enterprise PostgresIngresMarkLogicSadas EngineYanza
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