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DBMS > HBase vs. Hypertable vs. InfluxDB vs. RDF4J vs. UniData,UniVerse

System Properties Comparison HBase vs. Hypertable vs. InfluxDB vs. RDF4J vs. UniData,UniVerse

Editorial information provided by DB-Engines
NameHBase  Xexclude from comparisonHypertable  Xexclude from comparisonInfluxDB  Xexclude from comparisonRDF4J infoformerly known as Sesame  Xexclude from comparisonUniData,UniVerse  Xexclude from comparison
Hypertable has stopped its further development with March 2016 and is removed from the DB-Engines ranking.
DescriptionWide-column store based on Apache Hadoop and on concepts of BigTableAn open source BigTable implementation based on distributed file systems such as HadoopDBMS for storing time series, events and metricsRDF4J is a Java framework for processing RDF data, supporting both memory-based and a disk-based storage.MultiValue database and application server with SQL mapping layer and meta database capabilities
Primary database modelWide column storeWide column storeTime Series DBMSRDF storeMultivalue DBMS
Secondary database modelsSpatial DBMS infowith GEO package
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score27.97
Rank#26  Overall
#2  Wide column stores
Score24.39
Rank#28  Overall
#1  Time Series DBMS
Score0.74
Rank#222  Overall
#9  RDF stores
Score2.85
Rank#98  Overall
#1  Multivalue DBMS
Websitehbase.apache.orgwww.influxdata.com/­products/­influxdb-overviewrdf4j.orgwww.rocketsoftware.com/­products/­rocket-multivalue-application-development-platform/­rocket-unidata
Technical documentationhbase.apache.org/­book.htmldocs.influxdata.com/­influxdbrdf4j.org/­documentationdocs.rocketsoftware.com/­bundle?cluster=true&labelkey=unidata&labelkey=prod_unidata
DeveloperApache Software Foundation infoApache top-level project, originally developed by PowersetHypertable Inc.Since 2016 officially forked into an Eclipse project, former developer was Aduna Software.Rocket Software
Initial release20082009201320041985
Current release2.3.4, January 20210.9.8.11, March 20162.7.6, April 2024
License infoCommercial or Open SourceOpen Source infoApache version 2Open Source infoGNU version 3. Commercial license availableOpen Source infoMIT-License; commercial enterprise version availableOpen Source infoEclipse Distribution License (EDL), v1.0.commercial
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaC++GoJavaC
Server operating systemsLinux
Unix
Windows infousing Cygwin
Linux
OS X
Windows infoan inofficial Windows port is available
Linux
OS X infothrough Homebrew
Linux
OS X
Unix
Windows
AIX
HP-UX
Linux
Solaris
Windows
Data schemeschema-free, schema definition possibleschema-freeschema-freeyes infoRDF Schemasschema-free
Typing infopredefined data types such as float or dateoptions to bring your own types, AVROnoNumeric data and Stringsyesoptional
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 indexesnorestricted infoonly exact value or prefix value scansnoyesyes
SQL infoSupport of SQLnonoSQL-like query languagenoyes
APIs and other access methodsJava API
RESTful HTTP API
Thrift
C++ API
Thrift
HTTP API
JSON over UDP
Java API
RIO infoRDF Input/Output
Sail API
SeRQL infoSesame RDF Query Language
Sesame REST HTTP Protocol
SPARQL
Java API infoJPA
JDBC
ODBC
OLE DB
Proprietary protocol
RESTful HTTP API
SOAP-based API
Supported programming languagesC
C#
C++
Groovy
Java
PHP
Python
Scala
C++
Java
Perl
PHP
Python
Ruby
.Net
Clojure
Erlang
Go
Haskell
Java
JavaScript
JavaScript (Node.js)
Lisp
Perl
PHP
Python
R
Ruby
Rust
Scala
Java
PHP
Python
.Net
Basic infoU2 Basic
C
Java
Server-side scripts infoStored proceduresyes infoCoprocessors in Javanonoyesyes
Triggersyesnonoyesyes infoU2 Basic
Partitioning methods infoMethods for storing different data on different nodesShardingShardingSharding infoin enterprise version onlynonenone
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication
Source-replica replication
selectable replication factor on file system levelselectable replication factor infoin enterprise version onlynoneSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesyesnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual ConsistencyImmediate Consistency
Foreign keys infoReferential integritynononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataSingle row ACID (across millions of columns)nonoACID infoIsolation support depends on the API usedACID infoconfigurable
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes 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.yesyes infoDepending on used storage engine
User concepts infoAccess controlAccess Control Lists (ACL) for RBAC, integration with Apache Ranger for RBAC & ABACnosimple rights management via user accountsnoAccess rights according to SQL-standard and operating system based
More information provided by the system vendor
HBaseHypertableInfluxDBRDF4J infoformerly known as SesameUniData,UniVerse
Specific characteristicsInfluxData is the creator of InfluxDB , the open source time series database. It...
» more
Competitive advantagesTime to Value InfluxDB is available in all the popular languages and frameworks,...
» more
Typical application scenariosIoT & Sensor Monitoring Developers are witnessing the instrumentation of every available...
» more
Key customersInfluxData has more than 1,900 paying customers, including customers include MuleSoft,...
» more
Market metricsFastest-growing database to drive 27,500 GitHub stars Over 750,000 daily active instances
» more
Licensing and pricing modelsOpen source core with closed source clustering available either on-premise or on...
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