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DBMS > BigchainDB vs. Microsoft Access vs. Sequoiadb vs. Trafodion vs. UniData,UniVerse

System Properties Comparison BigchainDB vs. Microsoft Access vs. Sequoiadb vs. Trafodion vs. UniData,UniVerse

Editorial information provided by DB-Engines
NameBigchainDB  Xexclude from comparisonMicrosoft Access  Xexclude from comparisonSequoiadb  Xexclude from comparisonTrafodion  Xexclude from comparisonUniData,UniVerse  Xexclude from comparison
Apache Trafodion has been retired in 2021. Therefore it is excluded from the DB-Engines Ranking.
DescriptionBigchainDB is scalable blockchain database offering decentralization, immutability and native assetsMicrosoft 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.)NewSQL database with distributed OLTP and SQLTransactional SQL-on-Hadoop DBMSMultiValue database and application server with SQL mapping layer and meta database capabilities
Primary database modelDocument storeRelational DBMSDocument store
Relational DBMS
Relational DBMSMultivalue DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.79
Rank#212  Overall
#36  Document stores
Score104.92
Rank#11  Overall
#8  Relational DBMS
Score0.45
Rank#261  Overall
#41  Document stores
#122  Relational DBMS
Score3.16
Rank#97  Overall
#2  Multivalue DBMS
Websitewww.bigchaindb.comwww.microsoft.com/­en-us/­microsoft-365/­accesswww.sequoiadb.comtrafodion.apache.orgwww.rocketsoftware.com/­products/­rocket-multivalue-application-development-platform/­rocket-unidata
Technical documentationbigchaindb.readthedocs.io/­en/­latestdeveloper.microsoft.com/­en-us/­accesswww.sequoiadb.com/­en/­index.php?m=Files&a=indextrafodion.apache.org/­documentation.htmldocs.rocketsoftware.com/­bundle?cluster=true&labelkey=unidata&labelkey=prod_unidata
DeveloperMicrosoftSequoiadb Ltd.Apache Software Foundation, originally developed by HPRocket Software
Initial release20161992201320141985
Current release1902 (16.0.11328.20222), March 20192.3.0, February 2019
License infoCommercial or Open SourceOpen Source infoAGPL v3commercial infoBundled with Microsoft OfficeOpen Source infoServer: AGPL; Client: Apache V2Open Source infoApache 2.0commercial
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++C++, JavaC
Server operating systemsLinuxWindows infoNot a real database server, but making use of DLLsLinuxLinuxAIX
HP-UX
Linux
Solaris
Windows
Data schemeschema-freeyesschema-freeyesschema-free
Typing infopredefined data types such as float or datenoyesyes infooid, date, timestamp, binary, regexyesoptional
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 indexesyesyesyesyes
SQL infoSupport of SQLnoyes infobut not compliant to any SQL standardSQL-like query languageyesyes
APIs and other access methodsCLI Client
RESTful HTTP API
ADO.NET
DAO
ODBC
OLE DB
proprietary protocol using JSONADO.NET
JDBC
ODBC
Java API infoJPA
JDBC
ODBC
OLE DB
Proprietary protocol
RESTful HTTP API
SOAP-based API
Supported programming languagesGo
Haskell
Java
JavaScript
Python
Ruby
C
C#
C++
Delphi
Java (JDBC-ODBC)
VBA
Visual Basic.NET
.Net
C++
Java
PHP
Python
All languages supporting JDBC/ODBC/ADO.Net.Net
Basic infoU2 Basic
C
Java
Server-side scripts infoStored proceduresyes infosince Access 2010 using the ACE-engineJavaScriptJava Stored Proceduresyes
Triggersyes infosince Access 2010 using the ACE-enginenonoyes infoU2 Basic
Partitioning methods infoMethods for storing different data on different nodesShardingnoneShardingShardingnone
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factornoneSource-replica replicationyes, via HBaseSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononoyes infovia user defined functions and HBaseno
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual ConsistencyImmediate Consistency
Foreign keys infoReferential integritynoyesnoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACID infobut no files for transaction loggingDocument is locked during a transactionACIDACID infoconfigurable
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyes,with MongoDB ord RethinkDByes infobut no files for transaction loggingyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nono
User concepts infoAccess controlyesno infoa simple user-level security was built in till version Access 2003simple password-based access controlfine grained access rights according to SQL-standardAccess rights according to SQL-standard and operating system based

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More resources
BigchainDBMicrosoft AccessSequoiadbTrafodionUniData,UniVerse
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