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DBMS > BigchainDB vs. Cubrid vs. HEAVY.AI vs. Microsoft Access vs. mSQL

System Properties Comparison BigchainDB vs. Cubrid vs. HEAVY.AI vs. Microsoft Access vs. mSQL

Editorial information provided by DB-Engines
NameBigchainDB  Xexclude from comparisonCubrid  Xexclude from comparisonHEAVY.AI infoFormerly named 'OmniSci', rebranded to 'HEAVY.AI' in March 2022  Xexclude from comparisonMicrosoft Access  Xexclude from comparisonmSQL infoMini SQL  Xexclude from comparison
DescriptionBigchainDB is scalable blockchain database offering decentralization, immutability and native assetsCUBRID is an open-source SQL-based relational database management system with object extensions for OLTPA high performance, column-oriented RDBMS, specifically developed to harness the massive parallelism of modern CPU and GPU hardwareMicrosoft Access combines a backend RDBMS (JET / ACE Engine) with a GUI frontend for data manipulation and queries. infoThe Access frontend is often used for accessing other datasources (DBMS, Excel, etc.)mSQL (Mini SQL) is a simple and lightweight RDBMS
Primary database modelDocument storeRelational DBMSRelational DBMSRelational DBMSRelational DBMS
Secondary database modelsSpatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.79
Rank#212  Overall
#36  Document stores
Score1.20
Rank#169  Overall
#78  Relational DBMS
Score1.77
Rank#141  Overall
#65  Relational DBMS
Score104.92
Rank#11  Overall
#8  Relational DBMS
Score1.27
Rank#167  Overall
#77  Relational DBMS
Websitewww.bigchaindb.comcubrid.com (korean)
cubrid.org (english)
github.com/­heavyai/­heavydb
www.heavy.ai
www.microsoft.com/­en-us/­microsoft-365/­accesshughestech.com.au/­products/­msql
Technical documentationbigchaindb.readthedocs.io/­en/­latestcubrid.org/­manualsdocs.heavy.aideveloper.microsoft.com/­en-us/­access
DeveloperCUBRID Corporation, CUBRID FoundationHEAVY.AI, Inc.MicrosoftHughes Technologies
Initial release20162008201619921994
Current release11.0, January 20215.10, January 20221902 (16.0.11328.20222), March 20194.4, October 2021
License infoCommercial or Open SourceOpen Source infoAGPL v3Open Source infoApache Version 2.0Open Source infoApache Version 2; enterprise edition availablecommercial infoBundled with Microsoft Officecommercial infofree licenses can be provided
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 languagePythonC, C++, JavaC++ and CUDAC++C
Server operating systemsLinuxLinux
Windows
LinuxWindows infoNot a real database server, but making use of DLLsAIX
HP-UX
Linux
OS X
Solaris SPARC/x86
Windows
Data schemeschema-freeyesyesyesyes
Typing infopredefined data types such as float or datenoyesyesyesyes
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 indexesyesnoyesyes
SQL infoSupport of SQLnoyesyesyes infobut not compliant to any SQL standardA subset of ANSI SQL is implemented infono subqueries, aggregate functions, views, foreign keys, triggers
APIs and other access methodsCLI Client
RESTful HTTP API
ADO.NET
JDBC
ODBC
OLE DB
JDBC
ODBC
Thrift
Vega
ADO.NET
DAO
ODBC
OLE DB
JDBC
ODBC
Supported programming languagesGo
Haskell
Java
JavaScript
Python
Ruby
C
C#
C++
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
Ruby
All languages supporting JDBC/ODBC/Thrift
Python
C
C#
C++
Delphi
Java (JDBC-ODBC)
VBA
Visual Basic.NET
C
C++
Delphi
Java
Perl
PHP
Tcl
Server-side scripts infoStored proceduresJava Stored Proceduresnoyes infosince Access 2010 using the ACE-engineno
Triggersyesnoyes infosince Access 2010 using the ACE-engineno
Partitioning methods infoMethods for storing different data on different nodesShardingnoneSharding infoRound robinnonenone
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factorSource-replica replicationMulti-source replicationnonenone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistencynone
Foreign keys infoReferential integritynoyesnoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnoACID infobut no files for transaction loggingno
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesno
Durability infoSupport for making data persistentyes,with MongoDB ord RethinkDByesyesyes infobut no files for transaction loggingyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesno
User concepts infoAccess controlyesfine grained access rights according to SQL-standardfine grained access rights according to SQL-standardno infoa simple user-level security was built in till version Access 2003no

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More resources
BigchainDBCubridHEAVY.AI infoFormerly named 'OmniSci', rebranded to 'HEAVY.AI' in March 2022Microsoft AccessmSQL infoMini SQL
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