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DBMS > AntDB vs. Dgraph vs. HEAVY.AI vs. Ingres

System Properties Comparison AntDB vs. Dgraph vs. HEAVY.AI vs. Ingres

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Editorial information provided by DB-Engines
NameAntDB  Xexclude from comparisonDgraph  Xexclude from comparisonHEAVY.AI infoFormerly named 'OmniSci', rebranded to 'HEAVY.AI' in March 2022  Xexclude from comparisonIngres  Xexclude from comparison
DescriptionA scalable, multi-tenant, MPP-architectured RDBMS for OLTP and OLAP operations, highly compatible with OracleDistributed and scalable native Graph DBMSA high performance, column-oriented RDBMS, specifically developed to harness the massive parallelism of modern CPU and GPU hardwareWell established RDBMS
Primary database modelRelational DBMSGraph DBMSRelational DBMSRelational DBMS
Secondary database modelsSpatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.25
Rank#303  Overall
#137  Relational DBMS
Score1.45
Rank#156  Overall
#15  Graph DBMS
Score1.77
Rank#141  Overall
#65  Relational DBMS
Score4.11
Rank#81  Overall
#44  Relational DBMS
Websitewww.asiainfo.com/­en_us/­product_aisware_antdb_detail.htmldgraph.iogithub.com/­heavyai/­heavydb
www.heavy.ai
www.actian.com/­databases/­ingres
Technical documentationdgraph.io/­docsdocs.heavy.aidocs.actian.com/­ingres
Social network pagesLinkedInTwitterFacebook
DeveloperAsiaInfo Technologies LimitedDgraph Labs, Inc.HEAVY.AI, Inc.Actian Corporation
Initial release201620161974 infooriginally developed at University Berkely in early 1970s
Current release5.10, January 202211.2, May 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 systemsLinux
OS X
Windows
LinuxAIX
HP Open VMS
HP-UX
Linux
Solaris
Windows
Data schemeyesschema-freeyesyes
Typing infopredefined data types such as float or dateyesyesyesyes
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.nonono infobut tools for importing/exporting data from/to XML-files available
Secondary indexesyesyesnoyes
SQL infoSupport of SQLSQL2016 compliantnoyesyes
APIs and other access methodsJDBC
MySQL protocol compliant
ODBC
GraphQL query language
gRPC (using protocol buffers) API
HTTP API
JDBC
ODBC
Thrift
Vega
.NET Client API
JDBC
ODBC
proprietary protocol (OpenAPI)
Supported programming languagesC#
C++
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
All languages supporting JDBC/ODBC/Thrift
Python
Server-side scripts infoStored proceduresnonoyes
Triggersyesnonoyes
Partitioning methods infoMethods for storing different data on different nodesyesSharding infoRound robinhorizontal partitioning infoIngres Star to access multiple databases simultaneously
Replication methods infoMethods for redundantly storing data on multiple nodesSynchronous replication via RaftMulti-source replicationIngres Replicator
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyesnonoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDnoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes infoMVCC
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.yesyesno
User concepts infoAccess controlno infoPlanned for future releasesfine grained access rights according to SQL-standardfine grained access rights according to SQL-standard
More information provided by the system vendor
AntDBDgraphHEAVY.AI infoFormerly named 'OmniSci', rebranded to 'HEAVY.AI' in March 2022Ingres
Specific characteristicsAntDB was initiated in 2008. On the core system of operators, AntDB provides online...
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Competitive advantagesHTAP mixed load: AntDB is a universal, enterprise-level distributed relational database,...
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Typical application scenariosAs the core software of large enterprise, AntDB supports multi-scenario deployment....
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Key customersChina Mobile, China Telecom, China Unicom, Aeon Life, China Mobile Tietong, CITIC...
» more
Market metricsMore than 1 billion subscribers in 24 provinces across China are served by AntDB...
» more
Licensing and pricing modelsCertificates and licenses CMMI5 Certificate licensed by CMMI Institute IT Product...
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More resources
AntDBDgraphHEAVY.AI infoFormerly named 'OmniSci', rebranded to 'HEAVY.AI' in March 2022Ingres
DB-Engines blog posts

AntDB: Answer to Database Evolution - Hyperconverged All-in-One Streaming Engine
22 June 2023,  Bei Mo, AntDB (sponsor) 

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