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DBMS > Blazegraph vs. EsgynDB vs. FatDB vs. ObjectBox

System Properties Comparison Blazegraph vs. EsgynDB vs. FatDB vs. ObjectBox

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Editorial information provided by DB-Engines
NameBlazegraph  Xexclude from comparisonEsgynDB  Xexclude from comparisonFatDB  Xexclude from comparisonObjectBox  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.Lightweight, fast on-device database for IoT, Mobile and Embedded devices, persisting and synchronising objects and vectors
Primary database modelGraph DBMS
RDF store
Relational DBMSDocument store
Key-value store
Object oriented DBMS
Vector DBMS
Secondary database modelsTime Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.81
Rank#213  Overall
#19  Graph DBMS
#8  RDF stores
Score0.25
Rank#312  Overall
#138  Relational DBMS
Score1.29
Rank#166  Overall
#5  Object oriented DBMS
#7  Vector DBMS
Websiteblazegraph.comwww.esgyn.cngithub.com/­objectbox
objectbox.io
Technical documentationwiki.blazegraph.comdocs.objectbox.io
DeveloperBlazegraphEsgynFatCloudObjectBox Limited
Initial release2006201520122017
Current release2.1.5, March 20194.0 (May 2024)
License infoCommercial or Open SourceOpen Source infoextended commercial license availablecommercialcommercialBindings are released under Apache 2.0 infoApache License 2.0
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaC++, JavaC#C and C++
Server operating systemsLinux
OS X
Windows
LinuxWindowsAndroid
Any POSIX system
Docker
iOS
Linux
macOS
QNX
Windows
Data schemeschema-freeyesschema-freeyes
Typing infopredefined data types such as float or dateyes infoRDF literal typesyesyesyes, plus "flex" map-like types
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 indexesyesyesyesyes
SQL infoSupport of SQLSPARQL is used as query languageyesno infoVia inetgration in SQL Serverno
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
Proprietary native API
Supported programming languages.Net
C
C++
Java
JavaScript
PHP
Python
Ruby
All languages supporting JDBC/ODBC/ADO.NetC#C
C++
Dart (Flutter)
Go
Java
Kotlin
Python
Swift
Server-side scripts infoStored proceduresyesJava Stored Proceduresyes infovia applicationsno
Triggersnonoyes infovia applicationsno
Partitioning methods infoMethods for storing different data on different nodesShardingShardingShardingnone
Replication methods infoMethods for redundantly storing data on multiple nodesyesMulti-source replication between multi datacentersselectable replication factorData sync between devices allowing occasional connected databases to work completely offline
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesyesno
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 Graphsyesnoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDnoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nono
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 applicationsyes
More information provided by the system vendor
BlazegraphEsgynDBFatDBObjectBox
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More resources
BlazegraphEsgynDBFatDBObjectBox
Recent citations in the news

Back to the future: Does graph database success hang on query language?
5 March 2018, ZDNet

Video: Blazegraph Accelerates Graph Computing with GPUs - High-Performance Computing News Analysis
20 December 2015, insideHPC

Harnessing GPUs Delivers a Big Speedup for Graph Analytics
15 December 2015, Datanami

This AI Paper Introduces A Comprehensive RDF Dataset With Over 26 Billion Triples Covering Scholarly Data Across All Scientific Disciplines
19 August 2023, MarkTechPost

Representation Learning on RDF* and LPG Knowledge Graphs
24 September 2020, Towards Data Science

provided by Google News

ObjectBox Raises $2M in Funding
4 December 2018, FinSMEs

The Megashift Towards Decentralized Edge Computing
27 August 2021, hackernoon.com

provided by Google News



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