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DBMS > Neo4j vs. OpenSearch vs. Vitess

System Properties Comparison Neo4j vs. OpenSearch vs. Vitess

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Editorial information provided by DB-Engines
NameNeo4j  Xexclude from comparisonOpenSearch  Xexclude from comparisonVitess  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 LuceneScalable, distributed, cloud-native DBMS, extending MySQL
Primary database modelGraph DBMSSearch engineRelational DBMS
Secondary database modelsVector DBMSDocument store
Spatial 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
Score0.86
Rank#202  Overall
#95  Relational DBMS
Websiteneo4j.comgithub.com/­opensearch-project
opensearch.org
vitess.io
Technical documentationneo4j.com/­docsopensearch.org/­docs/­latestvitess.io/­docs
DeveloperNeo4j, Inc.Amazon Web ServicesThe Linux Foundation, PlanetScale
Initial release200720212013
Current release5.23, August 20242.5.0, January 202315.0.2, December 2022
License infoCommercial or Open SourceOpen Source infoGPL version3, commercial licenses availableOpen Source infoApache Version 2.0Open Source infoApache Version 2.0, commercial licenses 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, ScalaJavaGo
Server operating systemsLinux infoCan also be used server-less as embedded Java database.
OS X
Solaris
Windows
All OS with a Java VMDocker
Linux
macOS
Data schemeschema-free and schema-optionalschema-free infoFlexible type definitions. Once a type is defined, it is persistentyes
Typing infopredefined data types such as float or dateyesyesyes
Secondary indexesyes infopluggable indexing subsystem, by default Apache Luceneyes infoAll search fields are automatically indexedyes
SQL infoSupport of SQLnoSQL-like query languageyes infowith proprietary extensions
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
ADO.NET
JDBC
MySQL protocol
ODBC
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
Ada
C
C#
C++
D
Delphi
Eiffel
Erlang
Haskell
Java
JavaScript (Node.js)
Objective-C
OCaml
Perl
PHP
Python
Ruby
Scheme
Tcl
Server-side scripts infoStored proceduresyes infoUser defined Procedures and Functionsyesyes infoproprietary syntax
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
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnono
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, allEventual Consistency across shards
Immediate Consistency within a shard
Foreign keys infoReferential integrityyes infoRelationships in graphsnoyes infonot for MyISAM storage engine
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnoACID at shard level
Concurrency infoSupport for concurrent manipulation of datayesyesyes infotable locks or row locks depending on storage engine
Durability infoSupport for making data persistentyesyesyes
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)Users with fine-grained authorization concept infono user groups or roles
More information provided by the system vendor
Neo4jOpenSearchVitess
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
News

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20 September 2024

The Ethics of Generative AI: Understanding the Principles and Risks
18 September 2024

GraphSummit Europe 2024: Actionable Insights From Industry Leaders and Innovators
18 September 2024

This Week in Neo4j: Knowledge Graph, Data Loading, Olympics, CSV and more
7 September 2024

Neo4j Expands Cloud Database Capabilities to Power Enterprise-Scale Graph Deployments
4 September 2024

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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
Neo4jOpenSearchVitess
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)

show all

Recent citations in the news

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Deepthi Sigireddi on Distributed Database Architecture in the Cloud Native Era
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They scaled YouTube — now they’ll shard everyone with PlanetScale
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PlanetScale offers undo button to reverse schema migration without losing data
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PlanetScale Unveils Distributed MySQL Database Service Based on Vitess
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