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DBMS > Neo4j vs. Riak KV vs. Sphinx

System Properties Comparison Neo4j vs. Riak KV vs. Sphinx

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Editorial information provided by DB-Engines
NameNeo4j  Xexclude from comparisonRiak KV  Xexclude from comparisonSphinx  Xexclude from comparison
DescriptionOpen source graph databaseDistributed, fault tolerant key-value storeOpen source search engine for searching in data from different sources, e.g. relational databases
Primary database modelGraph DBMSKey-value store infowith links between data sets and object tags for the creation of secondary indexesSearch engine
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score49.46
Rank#22  Overall
#1  Graph DBMS
Score5.56
Rank#55  Overall
#8  Key-value stores
Score7.39
Rank#47  Overall
#5  Search engines
Websiteneo4j.combasho.com/­products/­riak-kvsphinxsearch.com
Technical documentationneo4j.com/­docssphinxsearch.com/­docs
DeveloperNeo4j, Inc.Basho TechnologiesSphinx Technologies Inc.
Initial release200720092001
Current release3.5.8, July 20192.1.0, April 20153.1.1, October 2018
License infoCommercial or Open SourceOpen Source infoGPL version3, commercial licenses availableOpen Source infoApache version 2, commercial enterprise editionOpen Source infoGPL version 2, commercial licence 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 languageJava, ScalaErlangC++
Server operating systemsLinux infoCan also be used server-less as embedded Java database.
OS X
Solaris
Windows
Linux
OS X
FreeBSD
Linux
NetBSD
OS X
Solaris
Windows
Data schemeschema-free and schema-optionalschema-freeyes
Typing infopredefined data types such as float or dateyesnono
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.no
Secondary indexesyes infopluggable indexing subsystem, by default Apache Lucenerestrictedyes infofull-text index on all search fields
SQL infoSupport of SQLnonoSQL-like query language (SphinxQL)
APIs and other access methodsBolt protocol
Cypher query language
Java API
Neo4j-OGM infoObject Graph Mapper
RESTful HTTP API
Spring Data Neo4j
TinkerPop 3
HTTP API
Native Erlang Interface
Proprietary protocol
Supported programming languages.Net
Clojure
Elixir
Go
Groovy
Haskell
Java
JavaScript
Perl
PHP
Python
Ruby
Scala
C infounofficial client library
C#
C++ infounofficial client library
Clojure infounofficial client library
Dart infounofficial client library
Erlang
Go infounofficial client library
Groovy infounofficial client library
Haskell infounofficial client library
Java
JavaScript infounofficial client library
Lisp infounofficial client library
Perl infounofficial client library
PHP
Python
Ruby
Scala infounofficial client library
Smalltalk infounofficial client library
C++ infounofficial client library
Java
Perl infounofficial client library
PHP
Python
Ruby infounofficial client library
Server-side scripts infoStored proceduresyes infoUser defined Procedures and FunctionsJavaScript and Erlangno
Triggersyes infovia event handleryes infopre-commit hooks and post-commit hooksno
Partitioning methods infoMethods for storing different data on different nodesnoneSharding infono "single point of failure"Sharding infoPartitioning is done manually, search queries against distributed index is supported
Replication methods infoMethods for redundantly storing data on multiple nodesCausal Clustering using Raft protocol infoavailable in in Enterprise Version onlyselectable replication factornone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemCausal and Eventual Consistency configurable in Causal Cluster setup
Immediate Consistency in stand-alone mode
Eventual Consistency
Foreign keys infoReferential integrityyes infoRelationships in graphsno infolinks between data sets can be storedno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnono
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyesyesyes infoThe original contents of fields are not stored in the Sphinx index.
User concepts infoAccess controlUsers, roles and permissions. Pluggable authentication with supported standards (LDAP, Active Directory, Kerberos)nono
More information provided by the system vendor
Neo4jRiak KVSphinx
Specific characteristicsNeo4j is a native graph database platform that is built to store, query, analyze...
» more
Competitive advantagesNeo4j database is the only transactional database that combines everything you need...
» more
Typical application scenariosReal-Time Recommendations Master Data Management Identity and Access Management Network...
» more
Key customersOver 300 commercial customers and over 750 startups use Neo4j. Flagship customers...
» 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
News

This Week in Neo4j – NODES Keynote, Cypher Eager Operator, Releases of Neo4j OGM and jQAssistant
12 October 2019

Announcing the Global GraphHack Winners!
11 October 2019

Empowering Educators: Neo4j’s New Program for Classroom Instruction
10 October 2019

This Week in Neo4j – It’s NODES Time, Learning Japanese Characters, Building a Chat Bot, Streams, Tables, and Graphs
5 October 2019

Turning Data Into Actionable Knowledge: 5-Minute Interview with David Meza
4 October 2019

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and for displaying vendor-provided information such as key customers, competitive advantages and market metrics.

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More resources
Neo4jRiak KVSphinx
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Conferences and events

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

Recent citations in the news

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