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DBMS > AgensGraph vs. Blazegraph vs. HBase vs. PouchDB

System Properties Comparison AgensGraph vs. Blazegraph vs. HBase vs. PouchDB

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Editorial information provided by DB-Engines
NameAgensGraph  Xexclude from comparisonBlazegraph  Xexclude from comparisonHBase  Xexclude from comparisonPouchDB  Xexclude from comparison
Amazon has acquired Blazegraph's domain and (probably) product. It is said that Amazon Neptune is based on Blazegraph.
DescriptionMulti-model database supporting relational and graph data models and built upon PostgreSQLHigh-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 BigTableJavaScript DBMS with an API inspired by CouchDB
Primary database modelGraph DBMS
Relational DBMS
Graph DBMS
RDF store
Wide column storeDocument store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.20
Rank#321  Overall
#27  Graph DBMS
#143  Relational DBMS
Score0.75
Rank#219  Overall
#19  Graph DBMS
#8  RDF stores
Score30.50
Rank#26  Overall
#2  Wide column stores
Score2.28
Rank#115  Overall
#21  Document stores
Websitebitnine.net/­agensgraphblazegraph.comhbase.apache.orgpouchdb.com
Technical documentationbitnine.net/­documentationwiki.blazegraph.comhbase.apache.org/­book.htmlpouchdb.com/­guides
DeveloperBitnine Global Inc.BlazegraphApache Software Foundation infoApache top-level project, originally developed by PowersetApache Software Foundation
Initial release2016200620082012
Current release2.1, December 20182.1.5, March 20192.3.4, January 20217.1.1, June 2019
License infoCommercial or Open SourceOpen Source infoApache License 2.0Open Source infoextended commercial license availableOpen Source infoApache version 2Open Source
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageCJavaJavaJavaScript
Server operating systemsLinux
OS X
Windows
Linux
OS X
Windows
Linux
Unix
Windows infousing Cygwin
server-less, requires a JavaScript environment (browser, Node.js)
Data schemedepending on used data modelschema-freeschema-free, schema definition possibleschema-free
Typing infopredefined data types such as float or dateyesyes infoRDF literal typesoptions to bring your own types, AVROno
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 indexesyesyesnoyes infovia views
SQL infoSupport of SQLyesSPARQL is used as query languagenono
APIs and other access methodsCypher Query Language
JDBC
Java API
RESTful HTTP API
SPARQL QUERY
SPARQL UPDATE
TinkerPop 3
Java API
RESTful HTTP API
Thrift
HTTP REST infoonly for PouchDB Server
JavaScript API
Supported programming languagesC
Java
JavaScript
Python
.Net
C
C++
Java
JavaScript
PHP
Python
Ruby
C
C#
C++
Groovy
Java
PHP
Python
Scala
JavaScript
Server-side scripts infoStored proceduresyesyesyes infoCoprocessors in JavaView functions in JavaScript
Triggersnonoyesyes
Partitioning methods infoMethods for storing different data on different nodesno, but can be realized using table inheritanceShardingShardingSharding infowith a proxy-based framework, named couchdb-lounge
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationyesMulti-source replication
Source-replica replication
Multi-source replication infoalso with CouchDB databases
Source-replica replication infoalso with CouchDB databases
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyesyes
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency or Eventual Consistency depending on configurationImmediate Consistency or Eventual ConsistencyEventual Consistency
Foreign keys infoReferential integrityyesyes infoRelationships in Graphsnono
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 datayesyesyes
Durability infoSupport for making data persistentyesyesyesyes infoby using IndexedDB, WebSQL or LevelDB as backend
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesyes
User concepts infoAccess controlfine grained access rights according to SQL-standardSecurity and Authentication via Web Application Container (Tomcat, Jetty)Access Control Lists (ACL) for RBAC, integration with Apache Ranger for RBAC & ABACno

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