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DBMS > DataFS vs. Datomic vs. Fujitsu Enterprise Postgres vs. Hyprcubd vs. TempoIQ

System Properties Comparison DataFS vs. Datomic vs. Fujitsu Enterprise Postgres vs. Hyprcubd vs. TempoIQ

Editorial information provided by DB-Engines
NameDataFS  Xexclude from comparisonDatomic  Xexclude from comparisonFujitsu Enterprise Postgres  Xexclude from comparisonHyprcubd  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.Datomic builds on immutable values, supports point-in-time queries and uses 3rd party systems for durabilityEnterprise-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 DBMSScalable analytics DBMS for sensor data, provided as a service (SaaS)
Primary database modelObject oriented DBMSRelational DBMSRelational DBMSTime Series 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
Score1.66
Rank#144  Overall
#66  Relational DBMS
Score0.37
Rank#278  Overall
#128  Relational DBMS
Websitenewdatabase.comwww.datomic.comwww.postgresql.fastware.comhyprcubd.com (offline)tempoiq.com (offline)
Technical documentationdev.mobiland.com/­Overview.xspdocs.datomic.comwww.postgresql.fastware.com/­product-manuals
DeveloperMobiland AGCognitectPostgreSQL Global Development Group, Fujitsu Australia Software TechnologyHyprcubd, Inc.TempoIQ
Initial release201820122012
Current release1.1.263, October 20221.0.7075, December 2023Fujitsu Enterprise Postgres 14, January 2022
License infoCommercial or Open Sourcecommercialcommercial infolimited edition freecommercialcommercialcommercial
Cloud-based only infoOnly available as a cloud servicenononoyesyes
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJava, ClojureCGo
Server operating systemsWindowsAll OS with a Java VMLinux
Windows
hosted
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 dateyesyesyesyes infotime, int, uint, float, stringyes
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 indexesnoyesyesno
SQL infoSupport of SQLnonoyesSQL-like query languageno
APIs and other access methods.NET Client API
Proprietary client DLL
WinRT client
RESTful HTTP APIADO.NET
JDBC
native C library
ODBC
streaming API for large objects
gRPC (https)HTTP API
Supported programming languages.Net
C
C#
C++
VB.Net
Clojure
Java
.Net
C
C++
Delphi
Java
JavaScript (Node.js)
Perl
PHP
Python
Tcl
C#
Java
JavaScript infoNode.js
Python
Ruby
Server-side scripts infoStored proceduresyes infoTransaction Functionsuser defined functionsnono
Triggersno, except callback-events from server when changes happenedBy using transaction functionsyesnoyes infoRealtime Alerts
Partitioning methods infoMethods for storing different data on different nodesProprietary Sharding systemnone infoBut extensive use of caching in the application peerspartitioning by range, list and by hash
Replication methods infoMethods for redundantly storing data on multiple nodesnone infoBut extensive use of caching in the application peersSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate ConsistencyEventual Consistency
Foreign keys infoReferential integrityyesnoyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDACIDnono
Concurrency infoSupport for concurrent manipulation of datayesyesyes, multi-version concurrency control (MVCC)noyes
Durability infoSupport for making data persistentyesyes infousing external storage systems (e.g. Cassandra, DynamoDB, PostgreSQL, Couchbase and others)yesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyes inforecommended only for testing and developmentnono
User concepts infoAccess controlWindows-Profilenofine grained access rights according to SQL-standardtoken accesssimple authentication-based access control

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More resources
DataFSDatomicFujitsu Enterprise PostgresHyprcubdTempoIQ infoformerly TempoDB
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