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DBMS > Fujitsu Enterprise Postgres vs. GigaSpaces vs. HyperSQL vs. Microsoft Azure Synapse Analytics vs. SiriDB

System Properties Comparison Fujitsu Enterprise Postgres vs. GigaSpaces vs. HyperSQL vs. Microsoft Azure Synapse Analytics vs. SiriDB

Editorial information provided by DB-Engines
NameFujitsu Enterprise Postgres  Xexclude from comparisonGigaSpaces  Xexclude from comparisonHyperSQL infoalso known as HSQLDB  Xexclude from comparisonMicrosoft Azure Synapse Analytics infopreviously named Azure SQL Data Warehouse  Xexclude from comparisonSiriDB  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.High performance in-memory data grid platform, powering three products: Smart Cache, Smart ODS (Operational Data Store), Smart Augmented TransactionsMultithreaded, transactional RDBMS written in Java infoalso known as HSQLDBElastic, large scale data warehouse service leveraging the broad eco-system of SQL ServerOpen Source Time Series DBMS
Primary database modelRelational DBMSDocument store
Object oriented DBMS infoValues are user defined objects
Relational DBMSRelational DBMSTime Series DBMS
Secondary database modelsDocument store
Spatial DBMS
Graph DBMS
Search engine
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.37
Rank#278  Overall
#128  Relational DBMS
Score1.03
Rank#188  Overall
#32  Document stores
#6  Object oriented DBMS
Score3.23
Rank#93  Overall
#48  Relational DBMS
Score19.93
Rank#31  Overall
#19  Relational DBMS
Score0.07
Rank#378  Overall
#42  Time Series DBMS
Websitewww.postgresql.fastware.comwww.gigaspaces.comhsqldb.orgazure.microsoft.com/­services/­synapse-analyticssiridb.com
Technical documentationwww.postgresql.fastware.com/­product-manualsdocs.gigaspaces.com/­latest/­landing.htmlhsqldb.org/­web/­hsqlDocsFrame.htmldocs.microsoft.com/­azure/­synapse-analyticsdocs.siridb.com
DeveloperPostgreSQL Global Development Group, Fujitsu Australia Software TechnologyGigaspaces TechnologiesMicrosoftCesbit
Initial release2000200120162017
Current releaseFujitsu Enterprise Postgres 14, January 202215.5, September 20202.7.2, June 2023
License infoCommercial or Open SourcecommercialOpen Source infoApache Version 2; Commercial licenses availableOpen Source infobased on BSD licensecommercialOpen Source infoMIT License
Cloud-based only infoOnly available as a cloud servicenononoyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageCJava, C++, .NetJavaC++C
Server operating systemsLinux
Windows
Linux
macOS
Solaris
Windows
All OS with a Java VM infoEmbedded (into Java applications) and Client-Server operating modeshostedLinux
Data schemeyesschema-freeyesyesyes
Typing infopredefined data types such as float or dateyesyesyesyesyes infoNumeric data
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 infoXML can be used for describing objects metadatanonono
Secondary indexesyesyesyesyesyes
SQL infoSupport of SQLyesSQL-99 for query and DML statementsyesyesno
APIs and other access methodsADO.NET
JDBC
native C library
ODBC
streaming API for large objects
GigaSpaces LRMI
Hibernate
JCache
JDBC
JPA
ODBC
RESTful HTTP API
Spring Data
HTTP API infoJDBC via HTTP
JDBC
ODBC
ADO.NET
JDBC
ODBC
HTTP API
Supported programming languages.Net
C
C++
Delphi
Java
JavaScript (Node.js)
Perl
PHP
Python
Tcl
.Net
C++
Java
Python
Scala
All languages supporting JDBC/ODBC
Java
C#
Java
PHP
C
C++
Go
Java
JavaScript (Node.js)
PHP
Python
R
Server-side scripts infoStored proceduresuser defined functionsyesJava, SQLTransact SQLno
Triggersyesyes, event driven architectureyesnono
Partitioning methods infoMethods for storing different data on different nodespartitioning by range, list and by hashShardingnoneSharding, horizontal partitioningSharding
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationMulti-source replication infosynchronous or asynchronous
Source-replica replication infosynchronous or asynchronous
noneyesyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyes infoMap-Reduce pattern can be built with XAP task executorsnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency infoConsistency level configurable: ALL, QUORUM, ANYImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyesnoyesno infodocs.microsoft.com/­en-us/­azure/­synapse-analytics/­sql-data-warehouse/­sql-data-warehouse-table-constraintsno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDACIDACIDno
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.yesyesyes
User concepts infoAccess controlfine grained access rights according to SQL-standardRole-based access controlfine grained access rights according to SQL-standardyessimple rights management via user accounts

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More resources
Fujitsu Enterprise PostgresGigaSpacesHyperSQL infoalso known as HSQLDBMicrosoft Azure Synapse Analytics infopreviously named Azure SQL Data WarehouseSiriDB
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