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DBMS > AntDB vs. AnzoGraph DB vs. Cubrid vs. Firebird vs. HEAVY.AI

System Properties Comparison AntDB vs. AnzoGraph DB vs. Cubrid vs. Firebird vs. HEAVY.AI

Editorial information provided by DB-Engines
NameAntDB  Xexclude from comparisonAnzoGraph DB  Xexclude from comparisonCubrid  Xexclude from comparisonFirebird  Xexclude from comparisonHEAVY.AI infoFormerly named 'OmniSci', rebranded to 'HEAVY.AI' in March 2022  Xexclude from comparison
DescriptionA scalable, multi-tenant, MPP-architectured RDBMS for OLTP and OLAP operations, highly compatible with OracleScalable graph database built for online analytics and data harmonization with MPP scaling, high-performance analytical algorithms and reasoning, and virtualizationCUBRID is an open-source SQL-based relational database management system with object extensions for OLTPFirebird is an open source RDBMS forked from Borland's InterBaseA high performance, column-oriented RDBMS, specifically developed to harness the massive parallelism of modern CPU and GPU hardware
Primary database modelRelational DBMSGraph DBMS
RDF store
Relational DBMSRelational DBMSRelational DBMS
Secondary database modelsSpatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.23
Rank#317  Overall
#141  Relational DBMS
Score0.29
Rank#303  Overall
#25  Graph DBMS
#14  RDF stores
Score1.04
Rank#187  Overall
#87  Relational DBMS
Score20.50
Rank#30  Overall
#18  Relational DBMS
Score1.64
Rank#145  Overall
#67  Relational DBMS
Websitewww.asiainfo.com/­en_us/­product_aisware_antdb_detail.htmlcambridgesemantics.com/­anzographcubrid.com (korean)
cubrid.org (english)
www.firebirdsql.orggithub.com/­heavyai/­heavydb
www.heavy.ai
Technical documentationdocs.cambridgesemantics.com/­anzograph/­userdoc/­home.htmcubrid.org/­manualswww.firebirdsql.org/­en/­reference-manualsdocs.heavy.ai
DeveloperAsiaInfo Technologies LimitedCambridge SemanticsCUBRID Corporation, CUBRID FoundationFirebird FoundationHEAVY.AI, Inc.
Initial release201820082000 infoAs fork of Borland's InterBase2016
Current release2.3, January 202111.0, January 20215.0.0, January 20245.10, January 2022
License infoCommercial or Open Sourcecommercialcommercial infofree trial version availableOpen Source infoApache Version 2.0Open Source infoInitial Developer's Public LicenseOpen Source infoApache Version 2; enterprise edition available
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC, C++, JavaC and C++C++ and CUDA
Server operating systemsLinuxLinux
Windows
AIX
FreeBSD
HP-UX
Linux
OS X
server-less infoFirebird Embedded Server
Solaris
Unix
Windows
Linux
Data schemeyesSchema-free and OWL/RDFS-schema supportyesyesyes
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
Secondary indexesyesnoyesyesno
SQL infoSupport of SQLSQL2016 compliantSPARQL and SPARQL* as primary query language. Cypher preview.yesyesyes
APIs and other access methodsJDBC
MySQL protocol compliant
ODBC
Apache Mule
gRPC
JDBC
Kafka
OData access for BI tools
OpenCypher
RESTful HTTP API
SPARQL
ADO.NET
JDBC
ODBC
OLE DB
ADO.NET
C/C++ API
JDBC infoJaybird
ODBC
OLE DB
JDBC
ODBC
Thrift
Vega
Supported programming languagesC++
Java
Python
C
C#
C++
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
Ruby
C
C#
C++
Delphi
Java
JavaScript infoNode.js
Lua
Perl
PHP
Python
Ruby
All languages supporting JDBC/ODBC/Thrift
Python
Server-side scripts infoStored proceduresuser defined functions and aggregatesJava Stored ProceduresPSQLno
Triggersyesnoyesyesno
Partitioning methods infoMethods for storing different data on different nodesAutomatic shardingnonenoneSharding infoRound robin
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication in MPP-ClusterSource-replica replicationSource-replica replicationMulti-source replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsKerberos/HDFS data loadingnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency in MPP-ClusterImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyesno infonot needed in graphsyesyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDACIDACIDno
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes infoFeatures a multi-generational MVCC architecture, readers do not block writersyes
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.yesyesnoyes
User concepts infoAccess controlAccess rights for users and rolesfine grained access rights according to SQL-standardUsers with fine-grained authorization conceptfine grained access rights according to SQL-standard

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More resources
AntDBAnzoGraph DBCubridFirebirdHEAVY.AI infoFormerly named 'OmniSci', rebranded to 'HEAVY.AI' in March 2022
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