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DBMS > Druid vs. InfluxDB vs. Infobright vs. RDF4J

System Properties Comparison Druid vs. InfluxDB vs. Infobright vs. RDF4J

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Editorial information provided by DB-Engines
NameDruid  Xexclude from comparisonInfluxDB  Xexclude from comparisonInfobright  Xexclude from comparisonRDF4J infoformerly known as Sesame  Xexclude from comparison
DescriptionOpen-source analytics data store designed for OLAP queries on timeseries dataDBMS for storing time series, events and metricsHigh performant column-oriented DBMS for analytic workloads using MySQL or PostgreSQL as a frontendRDF4J is a Java framework for processing RDF data, supporting both memory-based and a disk-based storage.
Primary database modelRelational DBMS
Time Series DBMS
Time Series DBMSRelational DBMSRDF store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.79
Rank#117  Overall
#58  Relational DBMS
#7  Time Series DBMS
Score19.93
Rank#33  Overall
#1  Time Series DBMS
Score1.05
Rank#144  Overall
#70  Relational DBMS
Score0.38
Rank#223  Overall
#10  RDF stores
Websitedruid.iowww.influxdata.com/­time-series-platform/­influxdbwww.ignitetech.com/­solutions/­information-technology/­infobrightdbrdf4j.org
Technical documentationdruid.io/­docs/­latest/­design/­index.htmldocs.influxdata.com/­influxdbdocs.rdf4j.org
DeveloperMetamarkets Group and contributorsIgnite Technologies Inc.; formerly InfoBright Inc.Since 2016 officially forked into an Eclipse project, former developer was Aduna Software.
Initial release2012201320052004
Current release1.7.8, August 2019
License infoCommercial or Open SourceOpen Source infoApache license v2Open Source infoMIT-License; commercial enterprise version availablecommercial infoThe open source (GPLv2) version did not support inserts/updates/deletes and was discontinued with July 2016Open Source infoEclipse Distribution License (EDL), v1.0.
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaGoCJava
Server operating systemsLinux
OS X
Unix
Linux
OS X infothrough Homebrew
Linux
Windows
Linux
OS X
Unix
Windows
Data schemeyes infoschema-less columns are supportedschema-freeyesyes infoRDF Schemas
Typing infopredefined data types such as float or dateyesNumeric data and Stringsyesyes
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.nonono
Secondary indexesyesnono infoKnowledge Grid Technology used insteadyes
SQL infoSupport of SQLSQL support via Apache Calcite adapterSQL-like query languageyesno
APIs and other access methodsJSON over HTTPHTTP API
JSON over UDP
ADO.NET
JDBC
ODBC
Java API
RIO infoRDF Input/Output
Sail API
SeRQL infoSesame RDF Query Language
Sesame REST HTTP Protocol
SPARQL
Supported programming languagesClojure
JavaScript
PHP
Python
R
Ruby
Scala
.Net
Clojure
Erlang
Go
Haskell
Java
JavaScript
JavaScript (Node.js)
Lisp
Perl
PHP
Python
R
Ruby
Rust
Scala
.Net
C
C#
C++
D
Eiffel
Erlang
Haskell
Java
Objective-C
OCaml
Perl
PHP
Python
Ruby
Scheme
Tcl
Java
PHP
Python
Server-side scripts infoStored proceduresnononoyes
Triggersnononoyes
Partitioning methods infoMethods for storing different data on different nodesShardingSharding infoin enterprise version onlynonenone
Replication methods infoMethods for redundantly storing data on multiple nodesyes, via HDFS, S3 or other storage enginesselectable replication factor infoin enterprise version onlyMaster-slave replicationnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanonoACIDACID infoIsolation support depends on the API used
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes 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.noyes infoDepending on used storage engineyes
User concepts infoAccess controlno infoavailable via extensionssimple rights management via user accountsfine grained access rights according to SQL-standard infoexploiting MySQL or PostgreSQL frontend capabilitiesno
More information provided by the system vendor
DruidInfluxDBInfobrightRDF4J infoformerly known as Sesame
Specific characteristicsInfluxData is the creator of InfluxDB , the open source time series database. It...
» more
Competitive advantagesTime to Value An end-to-end platform, InfluxData is ready to go on the cloud or via...
» more
Typical application scenariosIoT & Sensor Monitoring Instrumentation of every available surface in the material...
» more
Key customersInfluxData has over 630 paying customers, including IBM, PayPal, Siemens Tesla and...
» more
Market metricsFastest growing database to garnish 17,000 github stars Over 260,000 daily active...
» more
Licensing and pricing modelsOpen source core with closed source clustering available either on-premise or on...
» more

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More resources
DruidInfluxDBInfobrightRDF4J infoformerly known as Sesame
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