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DBMS > Neo4j vs. OpenQM vs. Redis

System Properties Comparison Neo4j vs. OpenQM vs. Redis

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Editorial information provided by DB-Engines
NameNeo4j  Xexclude from comparisonOpenQM infoalso called QM  Xexclude from comparisonRedis  Xexclude from comparison
DescriptionOpen source graph databaseQpenQM is a high-performance, self-tuning, multi-value DBMSIn-memory data structure store, used as database, cache and message broker infoRedis focuses on performance so most of its design decisions prioritize high performance and very low latencies.
Primary database modelGraph DBMSMultivalue DBMSKey-value store infoMultiple data types and a rich set of operations, as well as configurable data expiration, eviction and persistence
Secondary database modelsDocument store infowith Redis Modules
Graph DBMS infowith Redis Modules
Search engine infowith Redis Modules
Time Series DBMS infowith Redis Modules
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score50.53
Rank#22  Overall
#1  Graph DBMS
Score0.26
Rank#245  Overall
#10  Multivalue DBMS
Score145.24
Rank#8  Overall
#1  Key-value stores
Websiteneo4j.comwww.openqm.comredis.io
Technical documentationneo4j.com/­docswww.openqm.com/­support/­documentationredis.io/­documentation
DeveloperNeo4j, Inc.Martin PhillipsSalvatore Sanfilippo infoDevelopment sponsored by Redis Labs
Initial release200719932009
Current release3.5.8, July 20193.4-125.0.6, September 2019
License infoCommercial or Open SourceOpen Source infoGPL version3, commercial licenses availableOpen Source infoGPLv2, extended commercial license availableOpen Source infoBSD 3-Clause, commercial license 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.
Neo4j Aura: The simplest way to run Neo4j in the cloud
Implementation languageJava, ScalaC
Server operating systemsLinux infoCan also be used server-less as embedded Java database.
OS X
Solaris
Windows
AIX
FreeBSD
Linux
macOS
Raspberry Pi
Solaris
Windows
BSD
Linux
OS X
Windows infoported and maintained by Microsoft Open Technologies, Inc.
Data schemeschema-free and schema-optionalyes infowith some exceptionsschema-free
Typing infopredefined data types such as float or dateyespartial infoSupported data types are strings, hashes, lists, sets and sorted sets, bit arrays, hyperloglogs and geospatial indexes
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.yesno
Secondary indexesyes infopluggable indexing subsystem, by default Apache Luceneyesyes infowith RediSearch module
SQL infoSupport of SQLnonono
APIs and other access methodsBolt protocol
Cypher query language
Java API
Neo4j-OGM infoObject Graph Mapper
RESTful HTTP API
Spring Data Neo4j
TinkerPop 3
proprietary protocol infoRESP - REdis Serialization Protocol
Supported programming languages.Net
Clojure
Elixir
Go
Groovy
Haskell
Java
JavaScript
Perl
PHP
Python
Ruby
Scala
.Net
Basic
C
Java
Objective C
PHP
Python
C
C#
C++
Clojure
Crystal
D
Dart
Elixir
Erlang
Fancy
Go
Haskell
Haxe
Java
JavaScript (Node.js)
Lisp
Lua
MatLab
Objective-C
OCaml
Pascal
Perl
PHP
Prolog
Pure Data
Python
R
Rebol
Ruby
Rust
Scala
Scheme
Smalltalk
Swift
Tcl
Visual Basic
Server-side scripts infoStored proceduresyes infoUser defined Procedures and FunctionsyesLua
Triggersyes infovia event handleryesno
Partitioning methods infoMethods for storing different data on different nodesnoneyesSharding
Replication methods infoMethods for redundantly storing data on multiple nodesCausal Clustering using Raft protocol infoavailable in in Enterprise Version onlyyesMaster-slave replication infoChained replication is supported
Multi-master replication infowith Redis Enterprise Pack
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemCausal and Eventual Consistency configurable in Causal Cluster setup
Immediate Consistency in stand-alone mode
Immediate ConsistencyEventual Consistency
Strong eventual consistency with CRDTs
Foreign keys infoReferential integrityyes infoRelationships in graphsnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDOptimistic locking, atomic execution of commands blocks and scripts
Concurrency infoSupport for concurrent manipulation of datayesyesyes infoData access is serialized by the server
Durability infoSupport for making data persistentyesyesyes infoConfigurable mechanisms for persistency via snapshots and/or operations logs
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yes
User concepts infoAccess controlUsers, roles and permissions. Pluggable authentication with supported standards (LDAP, Active Directory, Kerberos)Access rights can be defined down to the item levelSimple password-based access control infoAccess control lists and SSL are available in the commercial version
More information provided by the system vendor
Neo4jOpenQM infoalso called QMRedis
Specific characteristicsNeo4j is a native graph database platform that is built to store, query, analyze...
» more
Redis, benchmarked as the world's fastest database, reduces application complexity,...
» more
Competitive advantagesNeo4j database is the only transactional database that combines everything you need...
» more
Redis is an in-memory database platform offering native support of wide range of...
» more
Typical application scenariosReal-Time Recommendations Master Data Management Identity and Access Management Network...
» more
Redis powers personalization, real-time fraud detection, IoT, e-commerce, real-time...
» more
Key customersOver 300 commercial customers and over 750 startups use Neo4j. Flagship customers...
» more
Verizon, Vodafone, Atlassian, Trip Advisor, Jet.com, Nokia, Samsung, HTC, Docker,...
» more
Market metricsNeo4j boasts the world's largest graph database ecosystem with more than a 15 million...
» more
Licensing and pricing modelsGPL v3 license that can be used all the places where you might use MySQL. Neo4j Commercial...
» more
The licensing model is subscription based. Redis Enterprise Cloud is priced according...
» more
News

This Week in Neo4j – APOC Pearls, Exploring Full-Text Search, Exploring structural balance, Graphistania v2.0
16 November 2019

#GraphCast: “Graph Databases Will Change Your Freakin’ Life”
15 November 2019

Fullstack GraphQL with Neo4j
13 November 2019

Real Examples of Why We Need Context for Responsible AI
12 November 2019

This Week in Neo4j – Neo4j Aura is Here, Graph Embeddings, Graph Modeling: All about relationships, Exploring Structural Balance
9 November 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
3rd partiesCData: Connect to Big Data & NoSQL through standard Drivers.
» more

Redis Labs is the open source home and the provider of enterprise-class Redis.
» more

ScaleGrid: Fully managed Redis-as-a-Service in the cloud.
» more

We invite representatives of vendors of related products to contact us for presenting information about their offerings here.

More resources
Neo4jOpenQM infoalso called QMRedis
DB-Engines blog posts

Applying Graph Analytics to Game of Thrones
12 June 2019, Amy Hodler & Mark Needham, Neo4j (guest author)

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)

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PostgreSQL is the DBMS of the Year 2018
2 January 2019, Paul Andlinger, Matthias Gelbmann

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

MongoDB is the DBMS of the year, defending the title from last year
7 January 2015, Paul Andlinger, Matthias Gelbmann

show all

Conferences and events

GraphConnect 2020
New York, USA, 20-22 April 2020

Recent citations in the news

Neo4j is the Graph Database of Choice for World's Top Financial Services Organizations
22 October 2019, PRNewswire

Neo4j introduces new cloud service to simplify building a graph database
6 November 2019, TechCrunch

Small or medium business? Neo4j wants to run a graph database for you in the cloud
7 November 2019, ZDNet

Neo4J Launches Cloud Graph Database
13 November 2019, iProgrammer

Neo4j Releases Native Graph Database as a Service Platform
12 November 2019, Database Trends and Applications

provided by Google News

Encompass Eliminates Downtime with jBASE from Zumasys
2 October 2018, GlobeNewswire

provided by Google News

Redis Labs Boosts Data Visualization, Cluster Recovery
15 November 2019, Datanami

Redis Labs eases database management with RedisInsight
18 November 2019, TechTarget

Redis Labs Leverages Kubernetes to Automate Database Recovery
13 November 2019, Container Journal

Redis Labs Delivers New Innovations to Radically Simplify the Complete Redis Lifecycle From Development to Operations
12 November 2019, Business Wire

Redis Labs goes Google Cloud, Graph, and other interesting places
24 October 2019, ZDNet

provided by Google News

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