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DBMS > DataFS vs. Fujitsu Enterprise Postgres vs. Hyprcubd vs. Microsoft Azure Synapse Analytics vs. TempoIQ

System Properties Comparison DataFS vs. Fujitsu Enterprise Postgres vs. Hyprcubd vs. Microsoft Azure Synapse Analytics vs. TempoIQ

Editorial information provided by DB-Engines
NameDataFS  Xexclude from comparisonFujitsu Enterprise Postgres  Xexclude from comparisonHyprcubd  Xexclude from comparisonMicrosoft Azure Synapse Analytics infopreviously named Azure SQL Data Warehouse  Xexclude from comparisonTempoIQ infoformerly TempoDB  Xexclude from comparison
Hyprcubd seems to be discontinued. Therefore it is excluded from the DB-Engines ranking.TempoIQ seems to be decommissioned. It will be removed from the DB-Engines ranking.
DescriptionAll data is stored inside objects which are linked by so-called link attributes. Objects consist of classes which can be extended and de-extended at runtime. Graphs can be defined with a struct.Enterprise-grade PostgreSQL-based DBMS with security enhancements such as Transparent Data Encryption and Data Masking, plus high-availability and performance improvement features.Serverless Time Series DBMSElastic, large scale data warehouse service leveraging the broad eco-system of SQL ServerScalable analytics DBMS for sensor data, provided as a service (SaaS)
Primary database modelObject oriented DBMSRelational DBMSTime Series DBMSRelational DBMSTime Series DBMS
Secondary database modelsGraph DBMSDocument store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.09
Rank#360  Overall
#17  Object oriented DBMS
Score0.37
Rank#278  Overall
#128  Relational DBMS
Score19.93
Rank#31  Overall
#19  Relational DBMS
Websitenewdatabase.comwww.postgresql.fastware.comhyprcubd.com (offline)azure.microsoft.com/­services/­synapse-analyticstempoiq.com (offline)
Technical documentationdev.mobiland.com/­Overview.xspwww.postgresql.fastware.com/­product-manualsdocs.microsoft.com/­azure/­synapse-analytics
DeveloperMobiland AGPostgreSQL Global Development Group, Fujitsu Australia Software TechnologyHyprcubd, Inc.MicrosoftTempoIQ
Initial release201820162012
Current release1.1.263, October 2022Fujitsu Enterprise Postgres 14, January 2022
License infoCommercial or Open Sourcecommercialcommercialcommercialcommercialcommercial
Cloud-based only infoOnly available as a cloud servicenonoyesyesyes
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageCGoC++
Server operating systemsWindowsLinux
Windows
hostedhosted
Data schemeClasses, Structs, and Lists are written in proprietary DataTypeDefinitionLanguage (.dtdl) and Objects consisting of those are written in proprietary DataAccessDefinitionLanguage (.dadl)yesyesyesschema-free
Typing infopredefined data types such as float or dateyesyesyes infotime, int, uint, float, stringyesyes
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.nononono
Secondary indexesnoyesnoyes
SQL infoSupport of SQLnoyesSQL-like query languageyesno
APIs and other access methods.NET Client API
Proprietary client DLL
WinRT client
ADO.NET
JDBC
native C library
ODBC
streaming API for large objects
gRPC (https)ADO.NET
JDBC
ODBC
HTTP API
Supported programming languages.Net
C
C#
C++
VB.Net
.Net
C
C++
Delphi
Java
JavaScript (Node.js)
Perl
PHP
Python
Tcl
C#
Java
PHP
C#
Java
JavaScript infoNode.js
Python
Ruby
Server-side scripts infoStored proceduresuser defined functionsnoTransact SQLno
Triggersno, except callback-events from server when changes happenedyesnonoyes infoRealtime Alerts
Partitioning methods infoMethods for storing different data on different nodesProprietary Sharding systempartitioning by range, list and by hashSharding, horizontal partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyEventual ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyesyesnono 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 dataACIDACIDnoACIDno
Concurrency infoSupport for concurrent manipulation of datayesyes, multi-version concurrency control (MVCC)noyesyes
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.nonono
User concepts infoAccess controlWindows-Profilefine grained access rights according to SQL-standardtoken accessyessimple authentication-based access control

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More resources
DataFSFujitsu Enterprise PostgresHyprcubdMicrosoft Azure Synapse Analytics infopreviously named Azure SQL Data WarehouseTempoIQ infoformerly TempoDB
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