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DBMS > DataFS vs. Fujitsu Enterprise Postgres vs. Google Cloud Bigtable vs. Hyprcubd vs. TempoIQ

System Properties Comparison DataFS vs. Fujitsu Enterprise Postgres vs. Google Cloud Bigtable vs. Hyprcubd vs. TempoIQ

Editorial information provided by DB-Engines
NameDataFS  Xexclude from comparisonFujitsu Enterprise Postgres  Xexclude from comparisonGoogle Cloud Bigtable  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.Enterprise-grade PostgreSQL-based DBMS with security enhancements such as Transparent Data Encryption and Data Masking, plus high-availability and performance improvement features.Google's NoSQL Big Data database service. It's the same database that powers many core Google services, including Search, Analytics, Maps, and Gmail.Serverless Time Series DBMSScalable analytics DBMS for sensor data, provided as a service (SaaS)
Primary database modelObject oriented DBMSRelational DBMSKey-value store
Wide column store
Time 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
Score0.37
Rank#278  Overall
#128  Relational DBMS
Score3.15
Rank#95  Overall
#14  Key-value stores
#8  Wide column stores
Websitenewdatabase.comwww.postgresql.fastware.comcloud.google.com/­bigtablehyprcubd.com (offline)tempoiq.com (offline)
Technical documentationdev.mobiland.com/­Overview.xspwww.postgresql.fastware.com/­product-manualscloud.google.com/­bigtable/­docs
DeveloperMobiland AGPostgreSQL Global Development Group, Fujitsu Australia Software TechnologyGoogleHyprcubd, Inc.TempoIQ
Initial release201820152012
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 languageCGo
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)yesschema-freeyesschema-free
Typing infopredefined data types such as float or dateyesyesnoyes 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 indexesnoyesnono
SQL infoSupport of SQLnoyesnoSQL-like query languageno
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 (using protocol buffers) API
HappyBase (Python library)
HBase compatible API (Java)
gRPC (https)HTTP API
Supported programming languages.Net
C
C#
C++
VB.Net
.Net
C
C++
Delphi
Java
JavaScript (Node.js)
Perl
PHP
Python
Tcl
C#
C++
Go
Java
JavaScript (Node.js)
Python
C#
Java
JavaScript infoNode.js
Python
Ruby
Server-side scripts infoStored proceduresuser defined functionsnonono
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
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationInternal replication in Colossus, and regional replication between two clusters in different zones
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyesnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate consistency (for a single cluster), Eventual consistency (for two or more replicated clusters)Eventual Consistency
Foreign keys infoReferential integrityyesyesnonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDAtomic single-row operationsnono
Concurrency infoSupport for concurrent manipulation of datayesyes, multi-version concurrency control (MVCC)yesnoyes
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.nononono
User concepts infoAccess controlWindows-Profilefine grained access rights according to SQL-standardAccess rights for users, groups and roles based on Google Cloud Identity and Access Management (IAM)token accesssimple authentication-based access control

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More resources
DataFSFujitsu Enterprise PostgresGoogle Cloud BigtableHyprcubdTempoIQ infoformerly TempoDB
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