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DBMS > Blazegraph vs. FatDB vs. Fujitsu Enterprise Postgres vs. Rockset

System Properties Comparison Blazegraph vs. FatDB vs. Fujitsu Enterprise Postgres vs. Rockset

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Editorial information provided by DB-Engines
NameBlazegraph  Xexclude from comparisonFatDB  Xexclude from comparisonFujitsu Enterprise Postgres  Xexclude from comparisonRockset  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.A .NET NoSQL DBMS that can integrate with and extend SQL Server.Enterprise-grade PostgreSQL-based DBMS with security enhancements such as Transparent Data Encryption and Data Masking, plus high-availability and performance improvement features.A scalable, reliable search and analytics service in the cloud, built on RocksDB
Primary database modelGraph DBMS
RDF store
Document store
Key-value store
Relational DBMSDocument store
Secondary database modelsDocument store
Spatial DBMS
Relational DBMS
Search engine
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.81
Rank#213  Overall
#19  Graph DBMS
#8  RDF stores
Score0.37
Rank#278  Overall
#128  Relational DBMS
Score0.82
Rank#212  Overall
#36  Document stores
Websiteblazegraph.comwww.postgresql.fastware.comrockset.com
Technical documentationwiki.blazegraph.comwww.postgresql.fastware.com/­product-manualsdocs.rockset.com
DeveloperBlazegraphFatCloudPostgreSQL Global Development Group, Fujitsu Australia Software TechnologyRockset
Initial release200620122019
Current release2.1.5, March 2019Fujitsu Enterprise Postgres 14, January 2022
License infoCommercial or Open SourceOpen Source infoextended commercial license availablecommercialcommercialcommercial
Cloud-based only infoOnly available as a cloud servicenononoyes
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaC#CC++
Server operating systemsLinux
OS X
Windows
WindowsLinux
Windows
hosted
Data schemeschema-freeschema-freeyesschema-free
Typing infopredefined data types such as float or dateyes infoRDF literal typesyesyesdynamic typing
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.no infoingestion from XML files supported
Secondary indexesyesyesyesall fields are automatically indexed
SQL infoSupport of SQLSPARQL is used as query languageno infoVia inetgration in SQL ServeryesRead-only SQL queries, including JOINs
APIs and other access methodsJava API
RESTful HTTP API
SPARQL QUERY
SPARQL UPDATE
TinkerPop 3
.NET Client API
LINQ
RESTful HTTP API
RPC
Windows WCF Bindings
ADO.NET
JDBC
native C library
ODBC
streaming API for large objects
HTTP REST
Supported programming languages.Net
C
C++
Java
JavaScript
PHP
Python
Ruby
C#.Net
C
C++
Delphi
Java
JavaScript (Node.js)
Perl
PHP
Python
Tcl
Go
Java
JavaScript (Node.js)
Python
Server-side scripts infoStored proceduresyesyes infovia applicationsuser defined functionsno
Triggersnoyes infovia applicationsyesno
Partitioning methods infoMethods for storing different data on different nodesShardingShardingpartitioning by range, list and by hashAutomatic sharding
Replication methods infoMethods for redundantly storing data on multiple nodesyesselectable replication factorSource-replica replicationyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual Consistency depending on configurationEventual Consistency
Immediate Consistency
Immediate ConsistencyEventual Consistency
Foreign keys infoReferential integrityyes infoRelationships in Graphsnoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnoACIDno
Concurrency infoSupport for concurrent manipulation of datayesyesyes, multi-version concurrency control (MVCC)yes
Durability infoSupport for making data persistentyesyesyesyes
User concepts infoAccess controlSecurity and Authentication via Web Application Container (Tomcat, Jetty)no infoCan implement custom security layer via applicationsfine grained access rights according to SQL-standardAccess rights for users and organizations can be defined via Rockset console

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More resources
BlazegraphFatDBFujitsu Enterprise PostgresRockset
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