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DBMS > 4D vs. Badger vs. HEAVY.AI vs. TigerGraph

System Properties Comparison 4D vs. Badger vs. HEAVY.AI vs. TigerGraph

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Editorial information provided by DB-Engines
Name4D infoformer name: 4th Dimension  Xexclude from comparisonBadger  Xexclude from comparisonHEAVY.AI infoFormerly named 'OmniSci', rebranded to 'HEAVY.AI' in March 2022  Xexclude from comparisonTigerGraph  Xexclude from comparison
DescriptionApplication development environment with integrated database management systemAn embeddable, persistent, simple and fast Key-Value Store, written purely in Go.A high performance, column-oriented RDBMS, specifically developed to harness the massive parallelism of modern CPU and GPU hardwareA complete, distributed, parallel graph computing platform supporting web-scale data analytics in real-time
Primary database modelRelational DBMSKey-value storeRelational DBMSGraph DBMS
Secondary database modelsSpatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.37
Rank#110  Overall
#54  Relational DBMS
Score0.14
Rank#328  Overall
#48  Key-value stores
Score1.41
Rank#153  Overall
#71  Relational DBMS
Score1.44
Rank#152  Overall
#14  Graph DBMS
Websitewww.4d.comgithub.com/­dgraph-io/­badgergithub.com/­heavyai/­heavydb
www.heavy.ai
www.tigergraph.com
Technical documentationdeveloper.4d.comgodoc.org/­github.com/­dgraph-io/­badgerdocs.heavy.aidocs.tigergraph.com
Developer4D, IncDGraph LabsHEAVY.AI, Inc.
Initial release1984201720162017
Current releasev20, April 20235.10, January 2022
License infoCommercial or Open SourcecommercialOpen Source infoApache 2.0Open Source infoApache Version 2; enterprise edition availablecommercial
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageGoC++ and CUDAC++
Server operating systemsOS X
Windows
BSD
Linux
OS X
Solaris
Windows
LinuxLinux
Data schemeyesschema-freeyesyes
Typing infopredefined data types such as float or dateyesnoyesyes
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 indexesyesnono
SQL infoSupport of SQLyes infoclose to SQL 92noyesSQL-like query language (GSQL)
APIs and other access methodsODBC
RESTful HTTP API infoby using 4D Mobile
SOAP webservices
JDBC
ODBC
Thrift
Vega
GSQL (TigerGraph Query Language)
Kafka
RESTful HTTP/JSON API
Supported programming languages4D proprietary IDE
PHP
GoAll languages supporting JDBC/ODBC/Thrift
Python
C++
Java
Server-side scripts infoStored proceduresyesnonoyes
Triggersyesnonono
Partitioning methods infoMethods for storing different data on different nodesnonenoneSharding infoRound robin
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replicationnoneMulti-source replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononoyes
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencynoneImmediate Consistency
Foreign keys infoReferential integrityyesnonoyes infoRelationships in graphs
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnonoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nonoyesno
User concepts infoAccess controlUsers and groupsnofine grained access rights according to SQL-standardRole-based access control

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More resources
4D infoformer name: 4th DimensionBadgerHEAVY.AI infoFormerly named 'OmniSci', rebranded to 'HEAVY.AI' in March 2022TigerGraph
DB-Engines blog posts

MySQL, PostgreSQL and Redis are the winners of the March ranking
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Recent citations in the news

Dgraph raises $11.5 million for scalable graph database solutions
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26 June 2024, insideBIGDATA

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