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DBMS > Blazegraph vs. Brytlyt vs. HBase vs. Microsoft Azure AI Search

System Properties Comparison Blazegraph vs. Brytlyt vs. HBase vs. Microsoft Azure AI Search

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Editorial information provided by DB-Engines
NameBlazegraph  Xexclude from comparisonBrytlyt  Xexclude from comparisonHBase  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.
DescriptionHigh-performance graph database supporting Semantic Web (RDF/SPARQL) and Graph Database (tinkerpop3, blueprints, vertex-centric) APIs with scale-out and High Availability.Scalable GPU-accelerated RDBMS for very fast analytic and streaming workloads, leveraging PostgreSQLWide-column store based on Apache Hadoop and on concepts of BigTableSearch-as-a-service for web and mobile app development
Primary database modelGraph DBMS
RDF store
Relational DBMSWide column storeSearch 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
Score0.29
Rank#288  Overall
#131  Relational DBMS
Score30.50
Rank#26  Overall
#2  Wide column stores
Score5.59
Rank#63  Overall
#7  Search engines
Websiteblazegraph.combrytlyt.iohbase.apache.orgazure.microsoft.com/­en-us/­services/­search
Technical documentationwiki.blazegraph.comdocs.brytlyt.iohbase.apache.org/­book.htmllearn.microsoft.com/­en-us/­azure/­search
DeveloperBlazegraphBrytlytApache Software Foundation infoApache top-level project, originally developed by PowersetMicrosoft
Initial release2006201620082015
Current release2.1.5, March 20195.0, August 20232.3.4, January 2021V1
License infoCommercial or Open SourceOpen Source infoextended commercial license availablecommercialOpen Source infoApache version 2commercial
Cloud-based only infoOnly available as a cloud servicenononoyes
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaC, C++ and CUDAJava
Server operating systemsLinux
OS X
Windows
Linux
OS X
Windows
Linux
Unix
Windows infousing Cygwin
hosted
Data schemeschema-freeyesschema-free, schema definition possibleyes
Typing infopredefined data types such as float or dateyes infoRDF literal typesyesoptions to bring your own types, AVROyes
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.yes infospecific XML-type available, but no XML query functionality.nono
Secondary indexesyesyesnoyes
SQL infoSupport of SQLSPARQL is used as query languageyesnono
APIs and other access methodsJava API
RESTful HTTP API
SPARQL QUERY
SPARQL UPDATE
TinkerPop 3
ADO.NET
JDBC
native C library
ODBC
streaming API for large objects
Java API
RESTful HTTP API
Thrift
RESTful HTTP API
Supported programming languages.Net
C
C++
Java
JavaScript
PHP
Python
Ruby
.Net
C
C++
Delphi
Java
Perl
Python
Tcl
C
C#
C++
Groovy
Java
PHP
Python
Scala
C#
Java
JavaScript
Python
Server-side scripts infoStored proceduresyesuser defined functions infoin PL/pgSQLyes infoCoprocessors in Javano
Triggersnoyesyesno
Partitioning methods infoMethods for storing different data on different nodesShardingShardingSharding infoImplicit feature of the cloud service
Replication methods infoMethods for redundantly storing data on multiple nodesyesSource-replica replicationMulti-source replication
Source-replica replication
yes infoImplicit feature of the cloud service
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual Consistency depending on configurationImmediate ConsistencyImmediate Consistency or Eventual ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyes infoRelationships in Graphsyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDSingle row ACID (across millions of columns)no
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.yesno
User concepts infoAccess controlSecurity and Authentication via Web Application Container (Tomcat, Jetty)fine grained access rights according to SQL-standardAccess Control Lists (ACL) for RBAC, integration with Apache Ranger for RBAC & ABACyes infousing Azure authentication

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More resources
BlazegraphBrytlytHBaseMicrosoft Azure AI Search
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