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DBMS > Druid vs. GraphDB vs. InfluxDB

System Properties Comparison Druid vs. GraphDB vs. InfluxDB

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Editorial information provided by DB-Engines
NameDruid  Xexclude from comparisonGraphDB infoformer name: OWLIM  Xexclude from comparisonInfluxDB  Xexclude from comparison
DescriptionOpen-source analytics data store designed for OLAP queries on timeseries dataEnterprise RDF and graph database with efficient reasoning, cluster and external index synchronization supportDBMS for storing time series, events and metrics
Primary database modelRelational DBMS
Time Series DBMS
Graph DBMS
RDF store
Time Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.69
Rank#118  Overall
#61  Relational DBMS
#7  Time Series DBMS
Score1.03
Rank#143  Overall
#10  Graph DBMS
#5  RDF stores
Score18.08
Rank#34  Overall
#1  Time Series DBMS
Websitedruid.iographdb.ontotext.comwww.influxdata.com/­time-series-platform/­influxdb
Technical documentationdruid.io/­docs/­latest/­design/­index.htmlgraphdb.ontotext.com/­documentationdocs.influxdata.com/­influxdb
DeveloperMetamarkets Group and contributorsOntotext
Initial release201220002013
Current release8.8, January 20191.7.5, March 2019
License infoCommercial or Open SourceOpen Source infoApache license v2commercial infolimited edition freeOpen Source infoMIT-License; commercial enterprise version available
Cloud-based only infoOnly available as a cloud servicenono infoNamed S4, Ontotext provides a semantic graph database based on GraphDB in the cloud.no
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaJavaGo
Server operating systemsLinux
OS X
Unix
All OS with a Java VM
Linux
OS X
Windows
Linux
OS X infothrough Homebrew
Data schemeyes infoschema-less columns are supportedschema-free and OWL/RDFS-schema supportschema-free
Typing infopredefined data types such as float or dateyesyesNumeric data and Strings
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 indexesyesyes, supports real-time synchronization and indexing in SOLR/Elastic search/Lucene and GeoSPARQL geometry data indexesno
SQL infoSupport of SQLSQL support via Apache Calcite adapterSPARQL is used as query languageSQL-like query language
APIs and other access methodsJSON over HTTPGeoSPARQL
Java API
RDF4J API
RIO
Sail API
Sesame REST HTTP Protocol
SPARQL 1.1
HTTP API
JSON over UDP
Supported programming languagesClojure
JavaScript
PHP
Python
R
Ruby
Scala
.Net
C#
Clojure
Java
JavaScript (Node.js)
PHP
Python
Ruby
Scala
.Net
Clojure
Erlang
Go
Haskell
Java
JavaScript
JavaScript (Node.js)
Lisp
Perl
PHP
Python
R
Ruby
Rust
Scala
Server-side scripts infoStored proceduresnoJava Server Pluginno
Triggersnonono
Partitioning methods infoMethods for storing different data on different nodesShardingnoneSharding infoin enterprise version only
Replication methods infoMethods for redundantly storing data on multiple nodesyes, via HDFS, S3 or other storage enginesMaster-master replicationselectable replication factor infoin enterprise version only
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency, Eventual consistency (configurable in cluster mode per master or individual client request)
Foreign keys infoReferential integritynoyes infoConstraint checkingno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDno
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyes infoDepending on used storage engine
User concepts infoAccess controlno infoavailable via extensionsyessimple rights management via user accounts
More information provided by the system vendor
DruidGraphDB infoformer name: OWLIMInfluxDB
Specific characteristicsGraphDB Enterprise is a high-performance semantic repository created by Ontotext....
» more
InfluxData includes the open source time-series database InfluxDB . It supports high...
» more
Competitive advantagesGraphDB allows you to link text and data in big knowledge graphs. It’s easy to experiment...
» more
Time to Value An end-to-end platform, InfluxData is ready to go on the cloud or via...
» more
Typical application scenariosMetadata enrichment and management, linked open data publishing, semantic inferencing...
» more
IoT & Sensor Monitoring Instrumentation of every available surface in the material...
» more
Key customersBBC, Press Association, Financial Times, DK, Euromoney, The British Museum, Getty...
» more
InfluxData , the creator of InfluxDB, delivers a modern Open Source Platform built...
» more
Market metricsGraphDB is the most utilized semantic triplestore for mission-critical enterprise...
» more
Fastest growing database to garnish 14,018 github stars Over 148,000 servers deployed...
» more
Licensing and pricing modelsGraphDB-Free is free to use. SE and Enterprise are licensed per CPU-Core used. Perpetual,...
» more
Open source core with closed source clustering available either on-premise or on...
» more
News

Semantic Search for Smart Data Discovery in the Pharma Industry
17 May 2019

Data, Databases and Deeds: A SPARQL Query to the Rescue
26 April 2019

AI, the Power of Knowledge and the Future Ahead: An Interview with Head of Ontotext’s R&I Milena Yankova
5 April 2019

Semantic Technology and the Way We See the World
15 March 2019

Telling Stories with an RDF Database
22 February 2019

We invite representatives of system vendors to contact us for updating and extending the system information,
and for displaying vendor-provided information such as key customers, competitive advantages and market metrics.

Related products and services

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More resources
DruidGraphDB infoformer name: OWLIMInfluxDB
DB-Engines blog posts

Why Build a Time Series Data Platform?
20 July 2017, Paul Dix (guest author)

Time Series DBMS are the database category with the fastest increase in popularity
4 July 2016, Matthias Gelbmann

Time Series DBMS as a new trend?
1 June 2015, Paul Andlinger

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Conferences and events

InfluxDays
London, 13-14 June 2019

Recent citations in the news

What's Behind Lyft's Choices in Big Data Tech
10 May 2019, Datanami

Imply launches with $2M to commercialize the Druid open-source data store
19 October 2015, VentureBeat

Hadoop Creator Yahoo Finds It's Not Enough, Turns to Druid
30 July 2015, ADT Magazine

Azure HDInsight Brings Next Generation Hadoop 3.0 and Enterprise Security to the Cloud
24 September 2018, HPCwire

Yahoo Casts Real-Time OLAP Queries with Druid
4 August 2015, Datanami

provided by Google News

Ontotext GraphDB Named Innovator in Bloor's Graph Database Market Research
11 February 2019, PRNewswire

Ontotext's GraphDB 8.9 Boosts Semantic Similarity Search
10 April 2019, PRNewswire

Ontotext's GraphDB 8.7 Offers Vector-Based Concept Matching and Better Scalability, Performance and Data Governance
9 October 2018, PR Newswire

The Graph Database Poised To Pounce On The Mainstream
19 September 2018, The Next Platform

Graph databases and RDF: It's a family affair
19 May 2017, ZDNet

provided by Google News

InfluxData Opens InfluxDB Cloud 2.0 to Public Beta
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What's the point: Firebase, InfluxDB Cloud, Google Cloud TPU pods
8 May 2019, DevClass

The OAS Data Historian Now Supports the InfluxDB Time Series Database Engine - Press Release
23 May 2019, Digital Journal

InfluxData Expands to Austin
1 May 2019, Business Wire

provided by Google News

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