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DBMS > Neo4j vs. OpenSearch vs. RavenDB

System Properties Comparison Neo4j vs. OpenSearch vs. RavenDB

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Editorial information provided by DB-Engines
NameNeo4j  Xexclude from comparisonOpenSearch  Xexclude from comparisonRavenDB  Xexclude from comparison
DescriptionScalable, ACID-compliant graph database designed with a high-performance distributed cluster architecture, available in self-hosted and cloud offeringsA distributed, RESTful search and analytics engine forked from Elasticsearch and based on Apache LuceneOpen Source Operational and Transactional Enterprise NoSQL Document Database
Primary database modelGraph DBMSSearch engineDocument store
Secondary database modelsVector DBMSGraph DBMS
Spatial DBMS
Time Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score42.68
Rank#21  Overall
#1  Graph DBMS
Score16.31
Rank#36  Overall
#4  Search engines
Score2.68
Rank#102  Overall
#19  Document stores
Websiteneo4j.comgithub.com/­opensearch-project
opensearch.org
ravendb.net
Technical documentationneo4j.com/­docsopensearch.org/­docs/­latestravendb.net/­docs
DeveloperNeo4j, Inc.Amazon Web ServicesHibernating Rhinos
Initial release200720212010
Current release5.23, August 20242.5.0, January 20235.4, July 2022
License infoCommercial or Open SourceOpen Source infoGPL version3, commercial licenses availableOpen Source infoApache Version 2.0Open Source infoAGPL version 3, 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: Neo4j’s fully managed cloud service: The zero-admin, always-on graph database for cloud developers.STACKIT OpenSearch offers OpenSearch in a managed version in enterprise grade, 100% GDPR-compliant, for a wide range of applications like analytics, website search, offering scalability and fast data access.
Implementation languageJava, ScalaJavaC#
Server operating systemsLinux infoCan also be used server-less as embedded Java database.
OS X
Solaris
Windows
All OS with a Java VMLinux
macOS
Raspberry Pi
Windows
Data schemeschema-free and schema-optionalschema-free infoFlexible type definitions. Once a type is defined, it is persistentschema-free
Typing infopredefined data types such as float or dateyesyesno
Secondary indexesyes infopluggable indexing subsystem, by default Apache Luceneyes infoAll search fields are automatically indexedyes
SQL infoSupport of SQLnoSQL-like query languageSQL-like query language (RQL)
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
.NET Client API
F# Client API
Go Client API
Java Client API
NodeJS Client API
PHP Client API
Python Client API
RESTful HTTP API
Supported programming languages.Net
Clojure
Elixir
Go
Groovy
Haskell
Java
JavaScript
Perl
PHP
Python
Ruby
Scala
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby infoElasticsearch client
.Net
C#
F#
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
Server-side scripts infoStored proceduresyes infoUser defined Procedures and Functionsyesyes
Triggersyes infovia event handleryes infoby using the 'percolation' featureyes
Partitioning methods infoMethods for storing different data on different nodesyes using Neo4j FabricShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesCausal Clustering using Raft protocol infoavailable in in Enterprise Version onlyyesMulti-source replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyes
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 infoSynchronous doc based replication. Get by ID may show delays up to 1 sec. Configurable write consistency: one, quorum, allDefault ACID transactions on the local node (eventually consistent across the cluster). Atomic operations with cluster-wide ACID transactions. Eventual consistency for indexes and full-text search indexes.
Foreign keys infoReferential integrityyes infoRelationships in graphsnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnoACID, Cluster-wide transaction available
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyesyesyes
User concepts infoAccess controlUsers, roles and permissions. Pluggable authentication with supported standards (LDAP, Active Directory, Kerberos)Authorization levels configured per client per database
More information provided by the system vendor
Neo4jOpenSearchRavenDB
Specific characteristicsNeo4j delivers graph technology that has been battle tested for performance and scale...
» more
OpenSearch is a highly scalable and extensible open-source software suite for search,...
» more
Competitive advantagesNeo4j is the market leader, graph database category creator, and the most widely...
» more
Distributed as fully open source under Apache License, Version 2.0 (ALv2), OpenSearch...
» more
Typical application scenariosReal-Time Recommendations Master Data Management Identity and Access Management Network...
» more
The OpenSearch platform is used across a broad range of search , analytics, and observability...
» 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
The OpenSearch Project offers open source software licensed under Apache License...
» more
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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
Neo4jOpenSearchRavenDB
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