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DBMS > Bangdb vs. Blazegraph vs. HBase vs. InterSystems IRIS

System Properties Comparison Bangdb vs. Blazegraph vs. HBase vs. InterSystems IRIS

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Editorial information provided by DB-Engines
NameBangdb  Xexclude from comparisonBlazegraph  Xexclude from comparisonHBase  Xexclude from comparisonInterSystems IRIS  Xexclude from comparison
Amazon has acquired Blazegraph's domain and (probably) product. It is said that Amazon Neptune is based on Blazegraph.
DescriptionConverged and high performance database for device data, events, time series, document and graphHigh-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 BigTableA containerised multi-model DBMS, interoperability and analytics data platform with wide capabilities for vertical and horizontal scalability
Primary database modelDocument store
Graph DBMS
Time Series DBMS
Graph DBMS
RDF store
Wide column storeDocument store
Key-value store
Object oriented DBMS
Relational DBMS
Secondary database modelsSpatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.08
Rank#347  Overall
#47  Document stores
#34  Graph DBMS
#31  Time Series DBMS
Score0.75
Rank#219  Overall
#19  Graph DBMS
#8  RDF stores
Score30.50
Rank#26  Overall
#2  Wide column stores
Score4.05
Rank#83  Overall
#14  Document stores
#10  Key-value stores
#1  Object oriented DBMS
#45  Relational DBMS
Websitebangdb.comblazegraph.comhbase.apache.orgwww.intersystems.com/­products/­intersystems-iris
Technical documentationdocs.bangdb.comwiki.blazegraph.comhbase.apache.org/­book.htmldocs.intersystems.com/­irislatest/­csp/­docbook/­DocBook.UI.Page.cls
DeveloperSachin Sinha, BangDBBlazegraphApache Software Foundation infoApache top-level project, originally developed by PowersetInterSystems
Initial release2012200620082018
Current releaseBangDB 2.0, October 20212.1.5, March 20192.3.4, January 20212023.3, June 2023
License infoCommercial or Open SourceOpen Source infoBSD 3Open Source infoextended commercial license availableOpen Source infoApache version 2commercial
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC, C++JavaJava
Server operating systemsLinuxLinux
OS X
Windows
Linux
Unix
Windows infousing Cygwin
AIX
Linux
macOS
Ubuntu
Windows
Data schemeschema-freeschema-freeschema-free, schema definition possibledepending on used data model
Typing infopredefined data types such as float or dateyes: string, long, double, int, geospatial, stream, eventsyes infoRDF literal typesoptions 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.nonoyes
Secondary indexesyes infosecondary, composite, nested, reverse, geospatialyesnoyes
SQL infoSupport of SQLSQL like support with command line toolSPARQL is used as query languagenoyes
APIs and other access methodsProprietary protocol
RESTful HTTP API
Java API
RESTful HTTP API
SPARQL QUERY
SPARQL UPDATE
TinkerPop 3
Java API
RESTful HTTP API
Thrift
JDBC
ODBC
RESTful HTTP API
Supported programming languagesC
C#
C++
Java
Python
.Net
C
C++
Java
JavaScript
PHP
Python
Ruby
C
C#
C++
Groovy
Java
PHP
Python
Scala
.Net
C++
Java
JavaScript (Node.js)
Python
Server-side scripts infoStored proceduresnoyesyes infoCoprocessors in Javayes
Triggersyes, Notifications (with Streaming only)noyesyes
Partitioning methods infoMethods for storing different data on different nodesSharding (enterprise version only). P2P based virtual network overlay with consistent hashing and chord algorithmShardingShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factor, Knob for CAP (enterprise version only)yesMulti-source replication
Source-replica replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemTunable consistency, set CAP knob accordinglyImmediate Consistency or Eventual Consistency depending on configurationImmediate Consistency or Eventual ConsistencyImmediate Consistency
Foreign keys infoReferential integritynoyes infoRelationships in Graphsnoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDSingle row ACID (across millions of columns)ACID
Concurrency infoSupport for concurrent manipulation of datayes, optimistic concurrency controlyesyesyes
Durability infoSupport for making data persistentyes, implements WAL (Write ahead log) as wellyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yes, run db with in-memory only modeyesyes
User concepts infoAccess controlyes (enterprise version only)Security and Authentication via Web Application Container (Tomcat, Jetty)Access Control Lists (ACL) for RBAC, integration with Apache Ranger for RBAC & ABACyes
More information provided by the system vendor
BangdbBlazegraphHBaseInterSystems IRIS
Specific characteristicsInterSystems IRIS is a complete cloud-first data platform which includes a multi-model...
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