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DBMS > BigchainDB vs. Microsoft Access vs. RavenDB vs. Transbase

System Properties Comparison BigchainDB vs. Microsoft Access vs. RavenDB vs. Transbase

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Editorial information provided by DB-Engines
NameBigchainDB  Xexclude from comparisonMicrosoft Access  Xexclude from comparisonRavenDB  Xexclude from comparisonTransbase  Xexclude from comparison
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.)Open Source Operational and Transactional Enterprise NoSQL Document DatabaseA resource-optimized, high-performance, universally applicable RDBMS
Primary database modelDocument storeRelational DBMSDocument storeRelational DBMS
Secondary database modelsGraph DBMS
Spatial DBMS
Time Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.82
Rank#212  Overall
#36  Document stores
Score105.40
Rank#11  Overall
#8  Relational DBMS
Score3.01
Rank#101  Overall
#17  Document stores
Score0.15
Rank#337  Overall
#147  Relational DBMS
Websitewww.bigchaindb.comwww.microsoft.com/­en-us/­microsoft-365/­accessravendb.netwww.transaction.de/­en/­products/­transbase.html
Technical documentationbigchaindb.readthedocs.io/­en/­latestdeveloper.microsoft.com/­en-us/­accessravendb.net/­docswww.transaction.de/­en/­products/­transbase/­features.html
DeveloperMicrosoftHibernating RhinosTransaction Software GmbH
Initial release2016199220101987
Current release1902 (16.0.11328.20222), March 20195.4, July 2022Transbase 8.3, 2022
License infoCommercial or Open SourceOpen Source infoAGPL v3commercial infoBundled with Microsoft OfficeOpen Source infoAGPL version 3, commercial license availablecommercial infofree development license
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languagePythonC++C#C and C++
Server operating systemsLinuxWindows infoNot a real database server, but making use of DLLsLinux
macOS
Raspberry Pi
Windows
FreeBSD
Linux
macOS
Solaris
Windows
Data schemeschema-freeyesschema-freeyes
Typing infopredefined data types such as float or datenoyesnoyes
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.nono
Secondary indexesyesyesyes
SQL infoSupport of SQLnoyes infobut not compliant to any SQL standardSQL-like query language (RQL)yes
APIs and other access methodsCLI Client
RESTful HTTP API
ADO.NET
DAO
ODBC
OLE DB
.NET Client API
F# Client API
Go Client API
Java Client API
NodeJS Client API
PHP Client API
Python Client API
RESTful HTTP API
ADO.NET
JDBC
ODBC
Proprietary native API
Supported programming languagesGo
Haskell
Java
JavaScript
Python
Ruby
C
C#
C++
Delphi
Java (JDBC-ODBC)
VBA
Visual Basic.NET
.Net
C#
F#
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
C
C#
C++
Java
JavaScript
Kotlin
Objective-C
PHP
Python
Server-side scripts infoStored proceduresyes infosince Access 2010 using the ACE-engineyesyes
Triggersyes infosince Access 2010 using the ACE-engineyesyes
Partitioning methods infoMethods for storing different data on different nodesShardingnoneSharding
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factornoneMulti-source replicationSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemDefault ACID transactions on the local node (eventually consistent across the cluster). Atomic operations with cluster-wide ACID transactions. Eventual consistency for indexes and full-text search indexes.Immediate Consistency
Foreign keys infoReferential integritynoyesnoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACID infobut no files for transaction loggingACID, Cluster-wide transaction availableyes
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyes,with MongoDB ord RethinkDByes infobut no files for transaction loggingyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.no
User concepts infoAccess controlyesno infoa simple user-level security was built in till version Access 2003Authorization levels configured per client per databasefine grained access rights according to SQL-standard

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More resources
BigchainDBMicrosoft AccessRavenDBTransbase
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