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DBMS > 4D vs. Fujitsu Enterprise Postgres vs. Graph Engine vs. Graphite vs. HEAVY.AI

System Properties Comparison 4D vs. Fujitsu Enterprise Postgres vs. Graph Engine vs. Graphite vs. HEAVY.AI

Editorial information provided by DB-Engines
Name4D infoformer name: 4th Dimension  Xexclude from comparisonFujitsu Enterprise Postgres  Xexclude from comparisonGraph Engine infoformer name: Trinity  Xexclude from comparisonGraphite  Xexclude from comparisonHEAVY.AI infoFormerly named 'OmniSci', rebranded to 'HEAVY.AI' in March 2022  Xexclude from comparison
DescriptionApplication development environment with integrated database management systemEnterprise-grade PostgreSQL-based DBMS with security enhancements such as Transparent Data Encryption and Data Masking, plus high-availability and performance improvement features.A distributed in-memory data processing engine, underpinned by a strongly-typed RAM store and a general distributed computation engineData logging and graphing tool for time series data infoThe storage layer (fixed size database) is called WhisperA high performance, column-oriented RDBMS, specifically developed to harness the massive parallelism of modern CPU and GPU hardware
Primary database modelRelational DBMSRelational DBMSGraph DBMS
Key-value store
Time Series DBMSRelational DBMS
Secondary database modelsDocument store
Spatial DBMS
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.58
Rank#108  Overall
#54  Relational DBMS
Score0.31
Rank#285  Overall
#129  Relational DBMS
Score0.61
Rank#240  Overall
#21  Graph DBMS
#35  Key-value stores
Score4.57
Rank#73  Overall
#5  Time Series DBMS
Score1.77
Rank#141  Overall
#65  Relational DBMS
Websitewww.4d.comwww.postgresql.fastware.comwww.graphengine.iogithub.com/­graphite-project/­graphite-webgithub.com/­heavyai/­heavydb
www.heavy.ai
Technical documentationdeveloper.4d.comwww.postgresql.fastware.com/­product-manualswww.graphengine.io/­docs/­manualgraphite.readthedocs.iodocs.heavy.ai
Developer4D, IncPostgreSQL Global Development Group, Fujitsu Australia Software TechnologyMicrosoftChris DavisHEAVY.AI, Inc.
Initial release1984201020062016
Current releasev20, April 2023Fujitsu Enterprise Postgres 14, January 20225.10, January 2022
License infoCommercial or Open SourcecommercialcommercialOpen Source infoMIT LicenseOpen Source infoApache 2.0Open Source infoApache Version 2; enterprise edition available
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC.NET and CPythonC++ and CUDA
Server operating systemsOS X
Windows
Linux
Windows
.NETLinux
Unix
Linux
Data schemeyesyesyesyesyes
Typing infopredefined data types such as float or dateyesyesyesNumeric data onlyyes
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.yesnonono
Secondary indexesyesyesnono
SQL infoSupport of SQLyes infoclose to SQL 92yesnonoyes
APIs and other access methodsODBC
RESTful HTTP API infoby using 4D Mobile
SOAP webservices
ADO.NET
JDBC
native C library
ODBC
streaming API for large objects
RESTful HTTP APIHTTP API
Sockets
JDBC
ODBC
Thrift
Vega
Supported programming languages4D proprietary IDE
PHP
.Net
C
C++
Delphi
Java
JavaScript (Node.js)
Perl
PHP
Python
Tcl
C#
C++
F#
Visual Basic
JavaScript (Node.js)
Python
All languages supporting JDBC/ODBC/Thrift
Python
Server-side scripts infoStored proceduresyesuser defined functionsyesnono
Triggersyesyesnonono
Partitioning methods infoMethods for storing different data on different nodesnonepartitioning by range, list and by hashhorizontal partitioningnoneSharding infoRound robin
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replicationSource-replica replicationnoneMulti-source replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencynoneImmediate Consistency
Foreign keys infoReferential integrityyesyesnonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDnonono
Concurrency infoSupport for concurrent manipulation of datayesyes, multi-version concurrency control (MVCC)yesyes infolockingyes
Durability infoSupport for making data persistentyesyesoptional: either by committing a write-ahead log (WAL) to the local persistent storage or by dumping the memory to a persistent storageyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesyes
User concepts infoAccess controlUsers and groupsfine grained access rights according to SQL-standardnofine grained access rights according to SQL-standard
More information provided by the system vendor
4D infoformer name: 4th DimensionFujitsu Enterprise PostgresGraph Engine infoformer name: TrinityGraphiteHEAVY.AI infoFormerly named 'OmniSci', rebranded to 'HEAVY.AI' in March 2022
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
4D infoformer name: 4th DimensionFujitsu Enterprise PostgresGraph Engine infoformer name: TrinityGraphiteHEAVY.AI infoFormerly named 'OmniSci', rebranded to 'HEAVY.AI' in March 2022
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