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DBMS > BigchainDB vs. Blazegraph vs. FileMaker vs. Microsoft Access vs. Oracle Coherence

System Properties Comparison BigchainDB vs. Blazegraph vs. FileMaker vs. Microsoft Access vs. Oracle Coherence

Editorial information provided by DB-Engines
NameBigchainDB  Xexclude from comparisonBlazegraph  Xexclude from comparisonFileMaker  Xexclude from comparisonMicrosoft Access  Xexclude from comparisonOracle Coherence  Xexclude from comparison
Amazon has acquired Blazegraph's domain and (probably) product. It is said that Amazon Neptune is based on Blazegraph.
DescriptionBigchainDB is scalable blockchain database offering decentralization, immutability and native assetsHigh-performance graph database supporting Semantic Web (RDF/SPARQL) and Graph Database (tinkerpop3, blueprints, vertex-centric) APIs with scale-out and High Availability.FileMaker is a cross-platform RDBMS that includes a GUI frontend.Microsoft 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.)Oracles in-memory data grid solution
Primary database modelDocument storeGraph DBMS
RDF store
Relational DBMSRelational DBMSKey-value store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.85
Rank#208  Overall
#35  Document stores
Score0.81
Rank#213  Overall
#19  Graph DBMS
#8  RDF stores
Score47.91
Rank#20  Overall
#14  Relational DBMS
Score101.16
Rank#11  Overall
#8  Relational DBMS
Score1.97
Rank#129  Overall
#22  Key-value stores
Websitewww.bigchaindb.comblazegraph.comwww.claris.com/­filemakerwww.microsoft.com/­en-us/­microsoft-365/­accesswww.oracle.com/­java/­coherence
Technical documentationbigchaindb.readthedocs.io/­en/­latestwiki.blazegraph.comwww.claris.com/­resources/­documentationdeveloper.microsoft.com/­en-us/­accessdocs.oracle.com/­en/­middleware/­standalone/­coherence
DeveloperBlazegraphClaris infoa subsidiary of AppleMicrosoftOracle
Initial release20162006198319922007
Current release2.1.5, March 201919.4.1, November 20211902 (16.0.11328.20222), March 201914.1, August 2023
License infoCommercial or Open SourceOpen Source infoAGPL v3Open Source infoextended commercial license availablecommercialcommercial infoBundled with Microsoft Officecommercial
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 languagePythonJavaC++Java
Server operating systemsLinuxLinux
OS X
Windows
iOS infoclient part only
Linux
OS X
Windows
Windows infoNot a real database server, but making use of DLLsAll OS with a Java VM
Data schemeschema-freeschema-freeyesyesschema-free
Typing infopredefined data types such as float or datenoyes infoRDF literal typesyesyesyes
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.noyes infoA http query request can return the data in XML formatno
Secondary indexesyesyesyesno
SQL infoSupport of SQLnoSPARQL is used as query languageyes infovia pluginsyes infobut not compliant to any SQL standardno
APIs and other access methodsCLI Client
RESTful HTTP API
Java API
RESTful HTTP API
SPARQL QUERY
SPARQL UPDATE
TinkerPop 3
Filemaker WebDirect
JDBC
ODBC
ADO.NET
DAO
ODBC
OLE DB
JCache
JPA
RESTful HTTP API
Supported programming languagesGo
Haskell
Java
JavaScript
Python
Ruby
.Net
C
C++
Java
JavaScript
PHP
Python
Ruby
PHPC
C#
C++
Delphi
Java (JDBC-ODBC)
VBA
Visual Basic.NET
.Net
C++
Java
Server-side scripts infoStored proceduresyesyesyes infosince Access 2010 using the ACE-engineno
Triggersnoyesyes infosince Access 2010 using the ACE-engineyes infoLive Events
Partitioning methods infoMethods for storing different data on different nodesShardingShardingnonenoneSharding
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factoryesSource-replica replication, warm standby infosince Version 14noneyes, with selectable consistency level
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual Consistency depending on configurationEventual Consistency
Immediate Consistency
Foreign keys infoReferential integritynoyes infoRelationships in Graphsyesyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnoACID infobut no files for transaction loggingconfigurable
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyes,with MongoDB ord RethinkDByesyesyes infobut no files for transaction loggingyes infooptionally
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yes
User concepts infoAccess controlyesSecurity and Authentication via Web Application Container (Tomcat, Jetty)simple rights management via user accounts and connection to external directory servicesno infoa simple user-level security was built in till version Access 2003authentification to access the cache via certificates or http basic authentication

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More resources
BigchainDBBlazegraphFileMakerMicrosoft AccessOracle Coherence
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