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DBMS > Fujitsu Enterprise Postgres vs. GeoSpock vs. Microsoft Azure SQL Database vs. Percona Server for MongoDB vs. TerarkDB

System Properties Comparison Fujitsu Enterprise Postgres vs. GeoSpock vs. Microsoft Azure SQL Database vs. Percona Server for MongoDB vs. TerarkDB

Editorial information provided by DB-Engines
NameFujitsu Enterprise Postgres  Xexclude from comparisonGeoSpock  Xexclude from comparisonMicrosoft Azure SQL Database infoformerly SQL Azure  Xexclude from comparisonPercona Server for MongoDB  Xexclude from comparisonTerarkDB  Xexclude from comparison
GeoSpock seems to be discontinued. Therefore it will be 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.Spatial and temporal data processing engine for extreme data scaleDatabase as a Service offering with high compatibility to Microsoft SQL ServerA drop-in replacement for MongoDB Community Edition with enterprise-grade features.A key-value store forked from RocksDB with advanced compression algorithms. It can be used standalone or as a storage engine for MySQL and MongoDB
Primary database modelRelational DBMSRelational DBMSRelational DBMSDocument storeKey-value store
Secondary database modelsDocument store
Spatial DBMS
Time Series DBMSDocument store
Graph DBMS
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.31
Rank#285  Overall
#129  Relational DBMS
Score77.99
Rank#16  Overall
#11  Relational DBMS
Score0.52
Rank#254  Overall
#39  Document stores
Score0.00
Rank#383  Overall
#60  Key-value stores
Websitewww.postgresql.fastware.comgeospock.comazure.microsoft.com/­en-us/­products/­azure-sql/­databasewww.percona.com/­mongodb/­software/­percona-server-for-mongodbgithub.com/­bytedance/­terarkdb
Technical documentationwww.postgresql.fastware.com/­product-manualsdocs.microsoft.com/­en-us/­azure/­azure-sqldocs.percona.com/­percona-distribution-for-mongodbbytedance.larkoffice.com/­docs/­doccnZmYFqHBm06BbvYgjsHHcKc
DeveloperPostgreSQL Global Development Group, Fujitsu Australia Software TechnologyGeoSpockMicrosoftPerconaByteDance, originally Terark
Initial release201020152016
Current releaseFujitsu Enterprise Postgres 14, January 20222.0, September 2019V123.4.10-2.10, November 2017
License infoCommercial or Open SourcecommercialcommercialcommercialOpen Source infoGPL Version 2commercial inforestricted open source version available
Cloud-based only infoOnly available as a cloud servicenoyesyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageCJava, JavascriptC++C++C++
Server operating systemsLinux
Windows
hostedhostedLinux
Data schemeyesyesyesschema-freeschema-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.noyesnono
Secondary indexesyestemporal, categoricalyesyesno
SQL infoSupport of SQLyesANSI SQL for query only (using Presto)yesnono
APIs and other access methodsADO.NET
JDBC
native C library
ODBC
streaming API for large objects
JDBCADO.NET
JDBC
ODBC
proprietary protocol using JSONC++ API
Java API
Supported programming languages.Net
C
C++
Delphi
Java
JavaScript (Node.js)
Perl
PHP
Python
Tcl
.Net
C#
Java
JavaScript (Node.js)
PHP
Python
Ruby
Actionscript
C
C#
C++
Clojure
ColdFusion
D
Dart
Delphi
Erlang
Go
Groovy
Haskell
Java
JavaScript
Lisp
Lua
MatLab
Perl
PHP
PowerShell
Prolog
Python
R
Ruby
Scala
Smalltalk
C++
Java
Server-side scripts infoStored proceduresuser defined functionsnoTransact SQLJavaScriptno
Triggersyesnoyesnono
Partitioning methods infoMethods for storing different data on different nodespartitioning by range, list and by hashAutomatic shardingShardingnone
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationyes, with always 3 replicas availableSource-replica replicationnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononoyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate ConsistencyEventual Consistency
Immediate Consistency
Foreign keys infoReferential integrityyesnoyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnoACIDnono
Concurrency infoSupport for concurrent manipulation of datayes, multi-version concurrency control (MVCC)yesyesyesyes
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 infovia In-Memory Engineyes
User concepts infoAccess controlfine grained access rights according to SQL-standardAccess rights for users can be defined per tablefine grained access rights according to SQL-standardAccess rights for users and rolesno
More information provided by the system vendor
Fujitsu Enterprise PostgresGeoSpockMicrosoft Azure SQL Database infoformerly SQL AzurePercona Server for MongoDBTerarkDB
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 PostgresGeoSpockMicrosoft Azure SQL Database infoformerly SQL AzurePercona Server for MongoDBTerarkDB
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