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DBMS > Bangdb vs. Blazegraph vs. Oracle NoSQL

System Properties Comparison Bangdb vs. Blazegraph vs. Oracle NoSQL

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Editorial information provided by DB-Engines
NameBangdb  Xexclude from comparisonBlazegraph  Xexclude from comparisonOracle NoSQL  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.A multi-model, scalable, distributed NoSQL database, designed to provide highly reliable, flexible, and available data management across a configurable set of storage nodes
Primary database modelDocument store
Graph DBMS
Time Series DBMS
Graph DBMS
RDF store
Document store
Key-value store
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
Score2.95
Rank#100  Overall
#17  Document stores
#17  Key-value stores
#50  Relational DBMS
Websitebangdb.comblazegraph.comwww.oracle.com/­database/­nosql/­technologies/­nosql
Technical documentationdocs.bangdb.comwiki.blazegraph.comdocs.oracle.com/­en/­database/­other-databases/­nosql-database/­index.html
DeveloperSachin Sinha, BangDBBlazegraphOracle
Initial release201220062011
Current releaseBangDB 2.0, October 20212.1.5, March 201923.3, December 2023
License infoCommercial or Open SourceOpen Source infoBSD 3Open Source infoextended commercial license availableOpen Source infoProprietary for Enterprise Edition (Oracle Database EE license has Oracle NoSQL database EE covered: details)
Cloud-based only infoOnly available as a cloud servicenonono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC, C++JavaJava
Server operating systemsLinuxLinux
OS X
Windows
Linux
Solaris SPARC/x86
Data schemeschema-freeschema-freeSupport Fixed schema and Schema-less deployment with the ability to interoperate between them.
Typing infopredefined data types such as float or dateyes: string, long, double, int, geospatial, stream, eventsyes infoRDF literal typesoptional
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.nono
Secondary indexesyes infosecondary, composite, nested, reverse, geospatialyesyes
SQL infoSupport of SQLSQL like support with command line toolSPARQL is used as query languageSQL-like DML and DDL statements
APIs and other access methodsProprietary protocol
RESTful HTTP API
Java API
RESTful HTTP API
SPARQL QUERY
SPARQL UPDATE
TinkerPop 3
RESTful HTTP API
Supported programming languagesC
C#
C++
Java
Python
.Net
C
C++
Java
JavaScript
PHP
Python
Ruby
C
C#
Go
Java
JavaScript (Node.js)
Python
Server-side scripts infoStored proceduresnoyesno
Triggersyes, Notifications (with Streaming only)nono
Partitioning methods infoMethods for storing different data on different nodesSharding (enterprise version only). P2P based virtual network overlay with consistent hashing and chord algorithmShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factor, Knob for CAP (enterprise version only)yesElectable source-replica replication per shard. Support distributed global deployment with Multi-region table feature
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonowith Hadoop integration
Consistency concepts infoMethods to ensure consistency in a distributed systemTunable consistency, set CAP knob accordinglyImmediate Consistency or Eventual Consistency depending on configurationEventual Consistency
Immediate Consistency infodepending on configuration
Foreign keys infoReferential integritynoyes infoRelationships in Graphsno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDconfigurable infoACID within a storage node (=shard)
Concurrency infoSupport for concurrent manipulation of datayes, optimistic concurrency controlyesyes
Durability infoSupport for making data persistentyes, implements WAL (Write ahead log) as wellyesyes
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 modeyes infooff heap cache
User concepts infoAccess controlyes (enterprise version only)Security and Authentication via Web Application Container (Tomcat, Jetty)Access rights for users and roles

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More resources
BangdbBlazegraphOracle NoSQL
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