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DBMS > Firebolt vs. HBase vs. RDF4J vs. SWC-DB

System Properties Comparison Firebolt vs. HBase vs. RDF4J vs. SWC-DB

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Editorial information provided by DB-Engines
NameFirebolt  Xexclude from comparisonHBase  Xexclude from comparisonRDF4J infoformerly known as Sesame  Xexclude from comparisonSWC-DB infoSuper Wide Column Database  Xexclude from comparison
DescriptionHighly scalable cloud data warehouse and analytics product infoForked from ClickhouseWide-column store based on Apache Hadoop and on concepts of BigTableRDF4J is a Java framework for processing RDF data, supporting both memory-based and a disk-based storage.A high performance, scalable Wide Column DBMS
Primary database modelRelational DBMSWide column storeRDF storeWide column store
Secondary database modelsTime Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.90
Rank#134  Overall
#62  Relational DBMS
Score30.50
Rank#26  Overall
#2  Wide column stores
Score0.69
Rank#230  Overall
#9  RDF stores
Score0.01
Rank#376  Overall
#13  Wide column stores
Websitewww.firebolt.iohbase.apache.orgrdf4j.orggithub.com/­kashirin-alex/­swc-db
www.swcdb.org
Technical documentationdocs.firebolt.iohbase.apache.org/­book.htmlrdf4j.org/­documentation
DeveloperFirebolt Analytics Inc.Apache Software Foundation infoApache top-level project, originally developed by PowersetSince 2016 officially forked into an Eclipse project, former developer was Aduna Software.Alex Kashirin
Initial release2020200820042020
Current release2.3.4, January 20210.5, April 2021
License infoCommercial or Open SourcecommercialOpen Source infoApache version 2Open Source infoEclipse Distribution License (EDL), v1.0.Open Source infoGPL V3
Cloud-based only infoOnly available as a cloud serviceyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaJavaC++
Server operating systemshostedLinux
Unix
Windows infousing Cygwin
Linux
OS X
Unix
Windows
Linux
Data schemeyesschema-free, schema definition possibleyes infoRDF Schemasschema-free
Typing infopredefined data types such as float or dateyesoptions 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.nono
Secondary indexesyesnoyes
SQL infoSupport of SQLyesnonoSQL-like query language
APIs and other access methods.Net
ODBC
RESTful HTTP API
Java API
RESTful HTTP API
Thrift
Java API
RIO infoRDF Input/Output
Sail API
SeRQL infoSesame RDF Query Language
Sesame REST HTTP Protocol
SPARQL
Proprietary protocol
Thrift
Supported programming languagesGo
JavaScript (Node.js)
Python
C
C#
C++
Groovy
Java
PHP
Python
Scala
Java
PHP
Python
C++
Server-side scripts infoStored proceduresnoyes infoCoprocessors in Javayesno
Triggersnoyesyesno
Partitioning methods infoMethods for storing different data on different nodesShardingnoneSharding
Replication methods infoMethods for redundantly storing data on multiple nodesdepending on storage layerMulti-source replication
Source-replica replication
none
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual ConsistencyImmediate Consistency
Foreign keys infoReferential integrityno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataSingle row ACID (across millions of columns)ACID infoIsolation support depends on the API used
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyesyes infoin-memory storage is supported as wellyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesno
User concepts infoAccess controlAccess Control Lists (ACL) for RBAC, integration with Apache Ranger for RBAC & ABACno

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More resources
FireboltHBaseRDF4J infoformerly known as SesameSWC-DB infoSuper Wide Column Database
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