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DBMS > Elasticsearch vs. Neo4j

System Properties Comparison Elasticsearch vs. Neo4j

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Our visitors often compare Elasticsearch and Neo4j with MongoDB, Cassandra and Microsoft Azure Cosmos DB.

Editorial information provided by DB-Engines
NameElasticsearch  Xexclude from comparisonNeo4j  Xexclude from comparison
DescriptionA distributed, RESTful modern search and analytics engine based on Apache Lucene infoElasticsearch lets you perform and combine many types of searches such as structured, unstructured, geo, and metricOpen source graph database
Primary database modelSearch engineGraph DBMS
Secondary database modelsDocument store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score150.17
Rank#7  Overall
#1  Search engines
Score49.46
Rank#22  Overall
#1  Graph DBMS
Websitewww.elastic.co/­products/­elasticsearchneo4j.com
Technical documentationwww.elastic.co/­guide/­en/­elasticsearch/­reference/­current/­index.htmlneo4j.com/­docs
DeveloperElasticNeo4j, Inc.
Initial release20102007
Current release7.3.0, August 20193.5.8, July 2019
License infoCommercial or Open SourceOpen Source infoApache Version 2; Elastic LicenseOpen Source infoGPL version3, commercial licenses available
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.
Elasticsearch Service on Elastic Cloud: Try out the official hosted Elasticsearch and Kibana offering available on AWS and GCP that's powered by the creators of Elasticsearch.
Implementation languageJavaJava, Scala
Server operating systemsAll OS with a Java VMLinux infoCan also be used server-less as embedded Java database.
OS X
Solaris
Windows
Data schemeschema-free infoFlexible type definitions. Once a type is defined, it is persistentschema-free and schema-optional
Typing infopredefined data types such as float or dateyesyes
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 infoAll search fields are automatically indexedyes infopluggable indexing subsystem, by default Apache Lucene
SQL infoSupport of SQLSQL-like query languageno
APIs and other access methodsJava API
RESTful HTTP/JSON API
Bolt protocol
Cypher query language
Java API
Neo4j-OGM infoObject Graph Mapper
RESTful HTTP API
Spring Data Neo4j
TinkerPop 3
Supported programming languages.Net
Groovy
Java
JavaScript
Perl
PHP
Python
Ruby
Community Contributed Clients
.Net
Clojure
Elixir
Go
Groovy
Haskell
Java
JavaScript
Perl
PHP
Python
Ruby
Scala
Server-side scripts infoStored proceduresyesyes infoUser defined Procedures and Functions
Triggersyes infoby using the 'percolation' featureyes infovia event handler
Partitioning methods infoMethods for storing different data on different nodesShardingnone
Replication methods infoMethods for redundantly storing data on multiple nodesyesCausal Clustering using Raft protocol infoavailable in in Enterprise Version only
MapReduce infoOffers an API for user-defined Map/Reduce methodsES-Hadoop Connectorno
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency infoSynchronous doc based replication. Get by ID may show delays up to 1 sec. Configurable write consistency: one, quorum, allCausal and Eventual Consistency configurable in Causal Cluster setup
Immediate Consistency in stand-alone mode
Foreign keys infoReferential integritynoyes infoRelationships in graphs
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACID
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.Memcached and Redis integration
User concepts infoAccess controlUsers, roles and permissions. Pluggable authentication with supported standards (LDAP, Active Directory, Kerberos)
More information provided by the system vendor
ElasticsearchNeo4j
Specific characteristicsElasticsearch is a highly scalable open source full-text search and analytics engine....
» more
Neo4j is a native graph database platform that is built to store, query, analyze...
» more
Competitive advantagesOpen source, real-time index, search and analysis, horizontally scalable, distributed,...
» more
Neo4j database is the only transactional database that combines everything you need...
» more
Typical application scenarios
» more
Real-Time Recommendations Master Data Management Identity and Access Management Network...
» more
Key customers
» more
Over 300 commercial customers and over 750 startups use Neo4j. Flagship customers...
» more
Market metricsMore than 250 million cumulative downloads More than 100,000 community members in...
» more
Neo4j boasts the world's largest graph database ecosystem with more than a 15 million...
» more
Licensing and pricing modelsThe Elastic Stack (Elasticsearch, Kibana, Beats, and Logstash) is free and open source...
» more
GPL v3 license that can be used all the places where you might use MySQL. Neo4j Commercial...
» more
News

Overcoming CCPA Compliance Challenges: What Is CCPA?
14 October 2019

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

Related products and services
3rd partiesDremio: Analyze your data with standard SQL and any BI tool. Accelerate your queries up to 1,000x.
» more

Elastic Cloud: Try the official hosted Elasticsearch.
» more

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

More resources
ElasticsearchNeo4j
DB-Engines blog posts

PostgreSQL is the DBMS of the Year 2017
2 January 2018, Paul Andlinger, Matthias Gelbmann

Elasticsearch moved into the top 10 most popular database management systems
3 July 2017, Matthias Gelbmann

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

show all

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)

show all

Conferences and events

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

Recent citations in the news

AWS faces Elasticsearch lawsuit for trademark infringement
1 October 2019, TechTarget

Review: Elasticsearch 7 soars with SQL, search optimizations
2 October 2019, InfoWorld

Amazon Faces Elasticsearch Trademark Infringement Suit (1)
30 September 2019, Bloomberg Law

The Warehouse Chooses Elastic’s Elasticsearch Service to Boost Consumer Loyalty
18 September 2019, Yahoo Finance

The Warehouse rolls out Elasticsearch to power its returns policy
18 September 2019, Reseller News

provided by Google News

Neo4j equips educators with data graphing teaching tools
10 October 2019, TechRepublic

Neo4j Launches Program to Empower Educators
10 October 2019, PRNewswire

NEORIS Demonstrates the Power of Graph Knowledge Management to Enable Predictive Analytics at Neo4j GraphTour New York
10 October 2019, PRNewswire

Neo4j Gets Hooks Into Kafka
1 October 2019, Datanami

New Graph Database Performance Benchmark Confirms Graph Database
14 August 2019, AiThority

provided by Google News

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