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DBMS > Blazegraph vs. Datomic vs. FatDB vs. jBASE vs. Microsoft Azure AI Search

System Properties Comparison Blazegraph vs. Datomic vs. FatDB vs. jBASE vs. Microsoft Azure AI Search

Editorial information provided by DB-Engines
NameBlazegraph  Xexclude from comparisonDatomic  Xexclude from comparisonFatDB  Xexclude from comparisonjBASE  Xexclude from comparisonMicrosoft Azure AI Search  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.Datomic builds on immutable values, supports point-in-time queries and uses 3rd party systems for durabilityA .NET NoSQL DBMS that can integrate with and extend SQL Server.A robust multi-value DBMS comprising development tools and middlewareSearch-as-a-service for web and mobile app development
Primary database modelGraph DBMS
RDF store
Relational DBMSDocument store
Key-value store
Multivalue DBMSSearch engine
Secondary database modelsVector DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.75
Rank#219  Overall
#19  Graph DBMS
#8  RDF stores
Score1.59
Rank#150  Overall
#69  Relational DBMS
Score1.41
Rank#159  Overall
#3  Multivalue DBMS
Score5.59
Rank#63  Overall
#7  Search engines
Websiteblazegraph.comwww.datomic.comwww.rocketsoftware.com/­products/­rocket-multivalue-application-development-platform/­rocket-jbaseazure.microsoft.com/­en-us/­services/­search
Technical documentationwiki.blazegraph.comdocs.datomic.comdocs.rocketsoftware.com/­bundle?labelkey=jbase_5.9learn.microsoft.com/­en-us/­azure/­search
DeveloperBlazegraphCognitectFatCloudRocket Software (formerly Zumasys)Microsoft
Initial release20062012201219912015
Current release2.1.5, March 20191.0.6735, June 20235.7V1
License infoCommercial or Open SourceOpen Source infoextended commercial license availablecommercial infolimited edition freecommercialcommercialcommercial
Cloud-based only infoOnly available as a cloud servicenonononoyes
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaJava, ClojureC#
Server operating systemsLinux
OS X
Windows
All OS with a Java VMWindowsAIX
Linux
Windows
hosted
Data schemeschema-freeyesschema-freeschema-freeyes
Typing infopredefined data types such as float or dateyes infoRDF literal typesyesyesoptionalyes
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.noyesno
Secondary indexesyesyesyesyes
SQL infoSupport of SQLSPARQL is used as query languagenono infoVia inetgration in SQL ServerEmbedded SQL for jBASE in BASICno
APIs and other access methodsJava API
RESTful HTTP API
SPARQL QUERY
SPARQL UPDATE
TinkerPop 3
RESTful HTTP API.NET Client API
LINQ
RESTful HTTP API
RPC
Windows WCF Bindings
JDBC
ODBC
Proprietary protocol
RESTful HTTP API
SOAP-based API
RESTful HTTP API
Supported programming languages.Net
C
C++
Java
JavaScript
PHP
Python
Ruby
Clojure
Java
C#.Net
Basic
Jabbascript
Java
C#
Java
JavaScript
Python
Server-side scripts infoStored proceduresyesyes infoTransaction Functionsyes infovia applicationsyesno
TriggersnoBy using transaction functionsyes infovia applicationsyesno
Partitioning methods infoMethods for storing different data on different nodesShardingnone infoBut extensive use of caching in the application peersShardingShardingSharding infoImplicit feature of the cloud service
Replication methods infoMethods for redundantly storing data on multiple nodesyesnone infoBut extensive use of caching in the application peersselectable replication factoryesyes infoImplicit feature of the cloud service
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyesnono
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 Graphsnononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDnoACIDno
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyes infousing external storage systems (e.g. Cassandra, DynamoDB, PostgreSQL, Couchbase and others)yesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yes inforecommended only for testing and developmentyesno
User concepts infoAccess controlSecurity and Authentication via Web Application Container (Tomcat, Jetty)nono infoCan implement custom security layer via applicationsAccess rights can be defined down to the item levelyes infousing Azure authentication

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More resources
BlazegraphDatomicFatDBjBASEMicrosoft Azure AI Search
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