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DBMS > Blazegraph vs. HBase vs. IBM Cloudant vs. Microsoft Azure Table Storage

System Properties Comparison Blazegraph vs. HBase vs. IBM Cloudant vs. Microsoft Azure Table Storage

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Editorial information provided by DB-Engines
NameBlazegraph  Xexclude from comparisonHBase  Xexclude from comparisonIBM Cloudant  Xexclude from comparisonMicrosoft Azure Table Storage  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.Wide-column store based on Apache Hadoop and on concepts of BigTableDatabase as a Service offering based on Apache CouchDBA Wide Column Store for rapid development using massive semi-structured datasets
Primary database modelGraph DBMS
RDF store
Wide column storeDocument storeWide column store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.75
Rank#219  Overall
#19  Graph DBMS
#8  RDF stores
Score30.50
Rank#26  Overall
#2  Wide column stores
Score2.68
Rank#106  Overall
#20  Document stores
Score4.48
Rank#75  Overall
#6  Wide column stores
Websiteblazegraph.comhbase.apache.orgwww.ibm.com/­products/­cloudantazure.microsoft.com/­en-us/­services/­storage/­tables
Technical documentationwiki.blazegraph.comhbase.apache.org/­book.htmlcloud.ibm.com/­docs/­Cloudant
DeveloperBlazegraphApache Software Foundation infoApache top-level project, originally developed by PowersetIBM, Apache Software Foundation infoIBM acquired Cloudant in February 2014Microsoft
Initial release2006200820102012
Current release2.1.5, March 20192.3.4, January 2021
License infoCommercial or Open SourceOpen Source infoextended commercial license availableOpen Source infoApache version 2commercialcommercial
Cloud-based only infoOnly available as a cloud servicenonoyesyes
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaJavaErlang
Server operating systemsLinux
OS X
Windows
Linux
Unix
Windows infousing Cygwin
hostedhosted
Data schemeschema-freeschema-free, schema definition possibleschema-freeschema-free
Typing infopredefined data types such as float or dateyes infoRDF literal typesoptions to bring your own types, AVROnoyes
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.nonono
Secondary indexesyesnoyesno
SQL infoSupport of SQLSPARQL is used as query languagenonono
APIs and other access methodsJava API
RESTful HTTP API
SPARQL QUERY
SPARQL UPDATE
TinkerPop 3
Java API
RESTful HTTP API
Thrift
RESTful HTTP/JSON APIRESTful HTTP API
Supported programming languages.Net
C
C++
Java
JavaScript
PHP
Python
Ruby
C
C#
C++
Groovy
Java
PHP
Python
Scala
C#
Java
JavaScript
Objective-C
PHP
Ruby
.Net
C#
C++
Java
JavaScript (Node.js)
PHP
Python
Ruby
Server-side scripts infoStored proceduresyesyes infoCoprocessors in JavaView functions (Map-Reduce) in JavaScriptno
Triggersnoyesyesno
Partitioning methods infoMethods for storing different data on different nodesShardingShardingShardingSharding infoImplicit feature of the cloud service
Replication methods infoMethods for redundantly storing data on multiple nodesyesMulti-source replication
Source-replica replication
Multi-source replication
Source-replica replication
yes infoimplicit feature of the cloud service. Replication either local, cross-facility or geo-redundant.
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 Consistency or Eventual ConsistencyEventual ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyes infoRelationships in Graphsnonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDSingle row ACID (across millions of columns)no infoatomic operations within a document possibleoptimistic locking
Concurrency infoSupport for concurrent manipulation of datayesyesyes infoOptimistic lockingyes
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.yesnono
User concepts infoAccess controlSecurity and Authentication via Web Application Container (Tomcat, Jetty)Access Control Lists (ACL) for RBAC, integration with Apache Ranger for RBAC & ABACAccess rights for users can be defined per databaseAccess rights based on private key authentication or shared access signatures

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More resources
BlazegraphHBaseIBM CloudantMicrosoft Azure Table Storage
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