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DBMS > BigchainDB vs. Firebase Realtime Database vs. GeoSpock vs. Microsoft Access vs. RDFox

System Properties Comparison BigchainDB vs. Firebase Realtime Database vs. GeoSpock vs. Microsoft Access vs. RDFox

Editorial information provided by DB-Engines
NameBigchainDB  Xexclude from comparisonFirebase Realtime Database  Xexclude from comparisonGeoSpock  Xexclude from comparisonMicrosoft Access  Xexclude from comparisonRDFox  Xexclude from comparison
GeoSpock seems to be discontinued. Therefore it will be excluded from the DB-Engines ranking.
DescriptionBigchainDB is scalable blockchain database offering decentralization, immutability and native assetsCloud-hosted realtime document store. iOS, Android, and JavaScript clients share one Realtime Database instance and automatically receive updates with the newest data.Spatial and temporal data processing engine for extreme data scaleMicrosoft 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.)High performance knowledge graph and semantic reasoning engine
Primary database modelDocument storeDocument storeRelational DBMSRelational DBMSGraph DBMS
RDF store
Secondary database modelsTime Series DBMSRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.85
Rank#208  Overall
#35  Document stores
Score13.64
Rank#39  Overall
#6  Document stores
Score101.16
Rank#11  Overall
#8  Relational DBMS
Score0.29
Rank#300  Overall
#24  Graph DBMS
#13  RDF stores
Websitewww.bigchaindb.comfirebase.google.com/­products/­realtime-databasegeospock.comwww.microsoft.com/­en-us/­microsoft-365/­accesswww.oxfordsemantic.tech
Technical documentationbigchaindb.readthedocs.io/­en/­latestfirebase.google.com/­docs/­databasedeveloper.microsoft.com/­en-us/­accessdocs.oxfordsemantic.tech
DeveloperGoogle infoacquired by Google 2014GeoSpockMicrosoftOxford Semantic Technologies
Initial release2016201219922017
Current release2.0, September 20191902 (16.0.11328.20222), March 20196.0, Septermber 2022
License infoCommercial or Open SourceOpen Source infoAGPL v3commercialcommercialcommercial infoBundled with Microsoft Officecommercial
Cloud-based only infoOnly available as a cloud servicenoyesyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languagePythonJava, JavascriptC++C++
Server operating systemsLinuxhostedhostedWindows infoNot a real database server, but making use of DLLsLinux
macOS
Windows
Data schemeschema-freeschema-freeyesyesyes infoRDF schemas
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.nonono
Secondary indexesyestemporal, categoricalyes
SQL infoSupport of SQLnonoANSI SQL for query only (using Presto)yes infobut not compliant to any SQL standardno
APIs and other access methodsCLI Client
RESTful HTTP API
Android
iOS
JavaScript API
RESTful HTTP API
JDBCADO.NET
DAO
ODBC
OLE DB
RESTful HTTP API
SPARQL 1.1
Supported programming languagesGo
Haskell
Java
JavaScript
Python
Ruby
Java
JavaScript
Objective-C
C
C#
C++
Delphi
Java (JDBC-ODBC)
VBA
Visual Basic.NET
C
Java
Server-side scripts infoStored procedureslimited functionality with using 'rules'noyes infosince Access 2010 using the ACE-engine
TriggersCallbacks are triggered when data changesnoyes infosince Access 2010 using the ACE-engine
Partitioning methods infoMethods for storing different data on different nodesShardingAutomatic shardingnone
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factornonereplication via a shared file system
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency infoif the client is offline
Immediate Consistency infoif the client is online
Immediate ConsistencyImmediate Consistency in stand-alone mode, Eventual Consistency in replicated setups
Foreign keys infoReferential integritynononoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datayesnoACID infobut no files for transaction loggingACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
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.noyes
User concepts infoAccess controlyesyes, based on authentication and database rulesAccess rights for users can be defined per tableno infoa simple user-level security was built in till version Access 2003Roles, resources, and access types

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More resources
BigchainDBFirebase Realtime DatabaseGeoSpockMicrosoft AccessRDFox
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