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DBMS > Bangdb vs. HBase vs. Kinetica vs. Linter vs. RDF4J

System Properties Comparison Bangdb vs. HBase vs. Kinetica vs. Linter vs. RDF4J

Editorial information provided by DB-Engines
NameBangdb  Xexclude from comparisonHBase  Xexclude from comparisonKinetica  Xexclude from comparisonLinter  Xexclude from comparisonRDF4J infoformerly known as Sesame  Xexclude from comparison
DescriptionConverged and high performance database for device data, events, time series, document and graphWide-column store based on Apache Hadoop and on concepts of BigTableFully vectorized database across both GPUs and CPUsRDBMS for high security requirementsRDF4J is a Java framework for processing RDF data, supporting both memory-based and a disk-based storage.
Primary database modelDocument store
Graph DBMS
Time Series DBMS
Wide column storeRelational DBMSRelational DBMSRDF store
Secondary database modelsSpatial DBMSSpatial DBMS
Time Series DBMS
Spatial 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
Score30.50
Rank#26  Overall
#2  Wide column stores
Score0.64
Rank#236  Overall
#109  Relational DBMS
Score0.09
Rank#346  Overall
#152  Relational DBMS
Score0.69
Rank#230  Overall
#9  RDF stores
Websitebangdb.comhbase.apache.orgwww.kinetica.comlinter.rurdf4j.org
Technical documentationdocs.bangdb.comhbase.apache.org/­book.htmldocs.kinetica.comrdf4j.org/­documentation
DeveloperSachin Sinha, BangDBApache Software Foundation infoApache top-level project, originally developed by PowersetKineticarelex.ruSince 2016 officially forked into an Eclipse project, former developer was Aduna Software.
Initial release20122008201219902004
Current releaseBangDB 2.0, October 20212.3.4, January 20217.1, August 2021
License infoCommercial or Open SourceOpen Source infoBSD 3Open Source infoApache version 2commercialcommercialOpen Source infoEclipse Distribution License (EDL), v1.0.
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC, C++JavaC, C++C and C++Java
Server operating systemsLinuxLinux
Unix
Windows infousing Cygwin
LinuxAIX
Android
BSD
HP Open VMS
iOS
Linux
OS X
VxWorks
Windows
Linux
OS X
Unix
Windows
Data schemeschema-freeschema-free, schema definition possibleyesyesyes infoRDF Schemas
Typing infopredefined data types such as float or dateyes: string, long, double, int, geospatial, stream, eventsoptions to bring your own types, AVROyesyesyes
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.nononono
Secondary indexesyes infosecondary, composite, nested, reverse, geospatialnoyesyesyes
SQL infoSupport of SQLSQL like support with command line toolnoSQL-like DML and DDL statementsyesno
APIs and other access methodsProprietary protocol
RESTful HTTP API
Java API
RESTful HTTP API
Thrift
JDBC
ODBC
RESTful HTTP API
ADO.NET
JDBC
LINQ
ODBC
OLE DB
Oracle Call Interface (OCI)
Java API
RIO infoRDF Input/Output
Sail API
SeRQL infoSesame RDF Query Language
Sesame REST HTTP Protocol
SPARQL
Supported programming languagesC
C#
C++
Java
Python
C
C#
C++
Groovy
Java
PHP
Python
Scala
C++
Java
JavaScript (Node.js)
Python
C
C#
C++
Java
Perl
PHP
Python
Qt
Ruby
Tcl
Java
PHP
Python
Server-side scripts infoStored proceduresnoyes infoCoprocessors in Javauser defined functionsyes infoproprietary syntax with the possibility to convert from PL/SQLyes
Triggersyes, Notifications (with Streaming only)yesyes infotriggers when inserted values for one or more columns fall within a specified rangeyesyes
Partitioning methods infoMethods for storing different data on different nodesSharding (enterprise version only). P2P based virtual network overlay with consistent hashing and chord algorithmShardingShardingnonenone
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factor, Knob for CAP (enterprise version only)Multi-source replication
Source-replica replication
Source-replica replicationSource-replica replicationnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemTunable consistency, set CAP knob accordinglyImmediate Consistency or Eventual ConsistencyImmediate Consistency or Eventual Consistency depending on configurationImmediate Consistency
Foreign keys infoReferential integritynonoyesyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDSingle row ACID (across millions of columns)noACIDACID infoIsolation support depends on the API used
Concurrency infoSupport for concurrent manipulation of datayes, optimistic concurrency controlyesyesyesyes
Durability infoSupport for making data persistentyes, implements WAL (Write ahead log) as wellyesyesyesyes infoin-memory storage is supported as well
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 infoGPU vRAM or System RAM
User concepts infoAccess controlyes (enterprise version only)Access Control Lists (ACL) for RBAC, integration with Apache Ranger for RBAC & ABACAccess rights for users and roles on table levelfine grained access rights according to SQL-standardno

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More resources
BangdbHBaseKineticaLinterRDF4J infoformerly known as Sesame
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