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DBMS > Druid vs. InfluxDB vs. Neo4j

System Properties Comparison Druid vs. InfluxDB vs. Neo4j

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Editorial information provided by DB-Engines
NameDruid  Xexclude from comparisonInfluxDB  Xexclude from comparisonNeo4j  Xexclude from comparison
DescriptionOpen-source analytics data store designed for OLAP queries on timeseries dataDBMS for storing time series, events and metricsOpen source graph database
Primary database modelRelational DBMS
Time Series DBMS
Time Series DBMSGraph 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
Score18.08
Rank#34  Overall
#1  Time Series DBMS
Score51.03
Rank#22  Overall
#1  Graph DBMS
Websitedruid.iowww.influxdata.com/­time-series-platform/­influxdbneo4j.com
Technical documentationdruid.io/­docs/­latest/­design/­index.htmldocs.influxdata.com/­influxdbneo4j.com/­docs
DeveloperMetamarkets Group and contributorsNeo4j, Inc.
Initial release201220132007
Current release1.7.5, March 20193.5.4, April 2019
License infoCommercial or Open SourceOpen Source infoApache license v2Open Source infoMIT-License; commercial enterprise version availableOpen Source infoGPL version3, commercial licenses available
Cloud-based only infoOnly available as a cloud servicenonono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaGoJava, Scala
Server operating systemsLinux
OS X
Unix
Linux
OS X infothrough Homebrew
Linux infoCan also be used server-less as embedded Java database.
OS X
Solaris
Windows
Data schemeyes infoschema-less columns are supportedschema-freeschema-free and schema-optional
Typing infopredefined data types such as float or dateyesNumeric data and Stringsyes
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 infopluggable indexing subsystem, by default Apache Lucene
SQL infoSupport of SQLSQL support via Apache Calcite adapterSQL-like query languageno
APIs and other access methodsJSON over HTTPHTTP API
JSON over UDP
Bolt protocol
Cypher query language
Java API
Neo4j-OGM infoObject Graph Mapper
RESTful HTTP API
Spring Data Neo4j
TinkerPop 3
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
Clojure
Elixir
Go
Groovy
Haskell
Java
JavaScript
Perl
PHP
Python
Ruby
Scala
Server-side scripts infoStored proceduresnonoyes infoUser defined Procedures and Functions
Triggersnonoyes infovia event handler
Partitioning methods infoMethods for storing different data on different nodesShardingSharding infoin enterprise version onlynone
Replication methods infoMethods for redundantly storing data on multiple nodesyes, via HDFS, S3 or other storage enginesselectable replication factor infoin enterprise version onlyCausal Clustering using Raft protocol infoavailable in in Enterprise Version only
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyCausal and Eventual Consistency configurable in Causal Cluster setup
Immediate Consistency in stand-alone mode
Foreign keys infoReferential integritynonoyes infoRelationships in graphs
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanonoACID
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 extensionssimple rights management via user accountsUsers, roles and permissions. Pluggable authentication with supported standards (LDAP, Active Directory, Kerberos)
More information provided by the system vendor
DruidInfluxDBNeo4j
Specific characteristicsInfluxData includes the open source time-series database InfluxDB . It supports high...
» more
Neo4j is a native graph database platform that is built to store, query, analyze...
» more
Competitive advantagesTime to Value An end-to-end platform, InfluxData is ready to go on the cloud or via...
» more
Neo4j database is the only transactional database that combines everything you need...
» more
Typical application scenariosIoT & Sensor Monitoring Instrumentation of every available surface in the material...
» more
Real-Time Recommendations Master Data Management Identity and Access Management Network...
» more
Key customersInfluxData , the creator of InfluxDB, delivers a modern Open Source Platform built...
» more
Over 300 commercial customers and over 750 startups use Neo4j. Flagship customers...
» more
Market metricsFastest growing database to garnish 14,018 github stars Over 148,000 servers deployed...
» more
Neo4j boasts the world's largest graph database ecosystem with more than a 15 million...
» more
Licensing and pricing modelsOpen source core with closed source clustering available either on-premise or on...
» more
GPL v3 license that can be used all the places where you might use MySQL. Neo4j Commercial...
» more
News

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17 May 2019

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15 May 2019

Save the Date for a Three-Day, Super-Powered GraphConnect 2020 Experience
14 May 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.

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More resources
DruidInfluxDBNeo4j
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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MySQL, PostgreSQL and Redis are the winners of the March ranking
2 March 2016, Paul Andlinger

The openCypher Project: Help Shape the SQL for Graphs
22 December 2015, Emil Eifrem (guest author)

Graph DBMS increased their popularity by 500% within the last 2 years
3 March 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

InfluxData Opens InfluxDB Cloud 2.0 to Public Beta
7 May 2019, DevOps.com

How the Aquicore Solution Cuts Energy Waste and Improve Tenant Comfort Levels with InfluxDB Cloud
9 May 2019, ADT Magazine

What's the point: Firebase, InfluxDB Cloud, Google Cloud TPU pods
8 May 2019, DevClass

3 Stories That Take Big Data and AI Beyond the Buzz
10 May 2019, SDxCentral

InfluxData Expands to Austin
1 May 2019, Business Wire

provided by Google News

New O'Reilly Graph Algorithms Book Now Available
24 April 2019, PRNewswire

AWS IAM, Amazon Neptune RDF, Microsoft Azure Cosmos DB, and Neo4j 3.5 Support Enhances Data Access and Enterprise Security
9 May 2019, PR Web

Global Graph Database Market 2019 – triAGENS GmbH(Arango DB), Neo4j, Inc, OrientDB Ltd, Cayley, Titan
13 May 2019, Biz Trends 24

Neo4j raises $80 million for next-generation graph databases
1 November 2018, VentureBeat

The network is a graph poised to help telecoms
17 May 2019, ITProPortal

provided by Google News

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