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DBMS > Neo4j vs. Solr

System Properties Comparison Neo4j vs. Solr

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Our visitors often compare Neo4j and Solr with Elasticsearch, MongoDB and Redis.

Editorial information provided by DB-Engines
NameNeo4j  Xexclude from comparisonSolr  Xexclude from comparison
DescriptionScalable, ACID-compliant graph database designed with a high-performance distributed cluster architecture, available in self-hosted and cloud offeringsA widely used distributed, scalable search engine based on Apache Lucene
Primary database modelGraph DBMSSearch engine
Secondary database modelsSpatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score57.98
Rank#19  Overall
#1  Graph DBMS
Score53.85
Rank#22  Overall
#3  Search engines
Websiteneo4j.comlucene.apache.org/­solr
Technical documentationneo4j.com/­docslucene.apache.org/­solr/­resources.html
DeveloperNeo4j, Inc.Apache Software Foundation
Initial release20072006
Current release4.3.7, November 20218.11.0, November 2021
License infoCommercial or Open SourceOpen Source infoGPL version3, commercial licenses availableOpen Source infoApache Version 2
Cloud-based only infoOnly available as a cloud servicenono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Neo4j Aura: Neo4jā€™s fully managed cloud service: The zero-admin, always-on graph database for cloud developers.
Implementation languageJava, ScalaJava
Server operating systemsLinux infoCan also be used server-less as embedded Java database.
OS X
Solaris
Windows
All OS with a Java VM inforuns as a servlet in servlet container (e.g. Tomcat, Jetty is included)
Data schemeschema-free and schema-optionalyes infoDynamic Fields enables on-the-fly addition of new fields
Typing infopredefined data types such as float or dateyesyes infosupports customizable data types and automatic typing
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.yes
Secondary indexesyes infopluggable indexing subsystem, by default Apache Luceneyes infoAll search fields are automatically indexed
SQL infoSupport of SQLnoSolr Parallel SQL Interface
APIs and other access methodsBolt protocol
Cypher query language
Java API
Neo4j-OGM infoObject Graph Mapper
RESTful HTTP API
Spring Data Neo4j
TinkerPop 3
Java API
RESTful HTTP/JSON API
Supported programming languages.Net
Clojure
Elixir
Go
Groovy
Haskell
Java
JavaScript
Perl
PHP
Python
Ruby
Scala
.Net
Erlang
Java
JavaScript
any language that supports sockets and either XML or JSON
Perl
PHP
Python
Ruby
Scala
Server-side scripts infoStored proceduresyes infoUser defined Procedures and FunctionsJava plugins
Triggersyes infovia event handleryes infoUser configurable commands triggered on index changes
Partitioning methods infoMethods for storing different data on different nodesyes using Neo4j FabricSharding
Replication methods infoMethods for redundantly storing data on multiple nodesCausal Clustering using Raft protocol infoavailable in in Enterprise Version onlyyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnospark-solr: github.com/­lucidworks/­spark-solr and streaming expressions to reduce
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
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDoptimistic locking
Concurrency infoSupport for concurrent manipulation of datayesyes
Durability infoSupport for making data persistentyesyes
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)yes
More information provided by the system vendor
Neo4jSolr
Specific characteristicsNeo4j delivers graph technology that has been battle tested for performance and scale...
» more
Competitive advantagesNeo4j is the market leader, graph database category creator, and the most widely...
» more
Typical application scenariosReal-Time Recommendations Master Data Management Identity and Access Management Network...
» more
Key customersOver 800 commercial customers and over 4300 startups use Neo4j. Flagship customers...
» more
Market metricsNeo4j boasts the world's largest graph database ecosystem with more than 140 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 ā€“ Jeremy Grignard, Pegasus, FastRP, and a Brand New Node.js Course on GraphAcademy
27 November 2021

Using a Hybrid Technique to Detect Illicit Activities in Shell Companies
22 November 2021

This Week in Neo4j ā€“ Health Care & Life Sciences Workshop, Cloudflare Workers, Apache Hop, and More
20 November 2021

From Law Enforcement to Graph Technology: An Unlikely Relationship
19 November 2021

From Graph to Knowledge Graph: Actioning vs. Decisioning Knowledge Graphs
17 November 2021

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 partiesGraphable delivers expert services for Neo4j and other Graph DBMS.
» more

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

More resources
Neo4jSolr
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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Elasticsearch replaced Solr as the most popular search engine
12 January 2016, Paul Andlinger

Enterprise Search Engines almost double their popularity in the last 12 months
2 July 2014, Paul Andlinger

The DB-Engines ranking includes now search engines
4 February 2013, Paul Andlinger

show all

Recent citations in the news

Graph database company Neo4j launches free fully-managed cloud service
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18 November 2021, PRNewswire

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