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DBMS > Blazegraph vs. EsgynDB vs. FatDB vs. FileMaker vs. InterSystems IRIS

System Properties Comparison Blazegraph vs. EsgynDB vs. FatDB vs. FileMaker vs. InterSystems IRIS

Editorial information provided by DB-Engines
NameBlazegraph  Xexclude from comparisonEsgynDB  Xexclude from comparisonFatDB  Xexclude from comparisonFileMaker  Xexclude from comparisonInterSystems IRIS  Xexclude from comparison
Amazon has acquired Blazegraph's domain and (probably) product. It is said that Amazon Neptune is based on Blazegraph.FatDB/FatCloud has ceased operations as a company with February 2014. FatDB is discontinued and excluded from the ranking.
DescriptionHigh-performance graph database supporting Semantic Web (RDF/SPARQL) and Graph Database (tinkerpop3, blueprints, vertex-centric) APIs with scale-out and High Availability.Enterprise-class SQL-on-Hadoop solution, powered by Apache TrafodionA .NET NoSQL DBMS that can integrate with and extend SQL Server.FileMaker is a cross-platform RDBMS that includes a GUI frontend.A containerised multi-model DBMS, interoperability and analytics data platform with wide capabilities for vertical and horizontal scalability
Primary database modelGraph DBMS
RDF store
Relational DBMSDocument store
Key-value store
Relational DBMSDocument store
Key-value store
Object oriented DBMS
Relational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.87
Rank#189  Overall
#17  Graph DBMS
#8  RDF stores
Score0.19
Rank#292  Overall
#137  Relational DBMS
Score51.58
Rank#22  Overall
#14  Relational DBMS
Score2.17
Rank#120  Overall
#22  Document stores
#23  Key-value stores
#2  Object oriented DBMS
#59  Relational DBMS
Websiteblazegraph.comwww.esgyn.cnwww.claris.com/­filemakerwww.intersystems.com/­products/­intersystems-iris
Technical documentationwiki.blazegraph.comwww.claris.com/­resources/­documentationdocs.intersystems.com/­irislatest/­csp/­docbook/­DocBook.UI.Page.cls
DeveloperBlazegraphEsgynFatCloudFileMaker infoa subsidiary of AppleInterSystems
Initial release20062015201219832018
Current release2.1.5, March 201919.4.1, November 20212021.1, June 2021
License infoCommercial or Open SourceOpen Source infoextended commercial license availablecommercialcommercialcommercialcommercial
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 languageJavaC++, JavaC#
Server operating systemsLinux
OS X
Windows
LinuxWindowsiOS infoclient part only
Linux
OS X
Windows
AIX
Linux
macOS
Windows
Data schemeschema-freeyesschema-freeyesdepending on used data model
Typing infopredefined data types such as float or dateyes infoRDF literal typesyesyesyesyes
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 formatyes
Secondary indexesyesyesyesyesyes
SQL infoSupport of SQLSPARQL is used as query languageyesno infoVia inetgration in SQL Serveryes infovia pluginsyes
APIs and other access methodsJava API
RESTful HTTP API
SPARQL QUERY
SPARQL UPDATE
TinkerPop 3
ADO.NET
JDBC
ODBC
.NET Client API
LINQ
RESTful HTTP API
RPC
Windows WCF Bindings
Filemaker WebDirect
JDBC
ODBC
JDBC
ODBC
RESTful HTTP API
Supported programming languages.Net
C
C++
Java
JavaScript
PHP
Python
Ruby
All languages supporting JDBC/ODBC/ADO.NetC#PHP.Net
C++
Java
JavaScript (Node.js)
Python
Server-side scripts infoStored proceduresyesJava Stored Proceduresyes infovia applicationsyesyes
Triggersnonoyes infovia applicationsyesyes
Partitioning methods infoMethods for storing different data on different nodesShardingShardingShardingnoneSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyesMulti-source replication between multi datacentersselectable replication factorSource-replica replication, warm standby infosince Version 14Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesyesnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual Consistency depending on configurationImmediate ConsistencyEventual Consistency
Immediate Consistency
Immediate Consistency
Foreign keys infoReferential integrityyes infoRelationships in Graphsyesnoyesyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDnonoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyes
User concepts infoAccess controlSecurity and Authentication via Web Application Container (Tomcat, Jetty)fine grained access rights according to SQL-standardno infoCan implement custom security layer via applicationssimple rights management via user accounts and connection to external directory servicesyes

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More resources
BlazegraphEsgynDBFatDBFileMakerInterSystems IRIS
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