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DBMS > Neo4j vs. Vitess vs. VoltDB

System Properties Comparison Neo4j vs. Vitess vs. VoltDB

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Editorial information provided by DB-Engines
NameNeo4j  Xexclude from comparisonVitess  Xexclude from comparisonVoltDB  Xexclude from comparison
DescriptionScalable, ACID-compliant graph database designed with a high-performance distributed cluster architecture, available in self-hosted and cloud offeringsScalable, distributed, cloud-native DBMS, extending MySQLDistributed In-Memory NewSQL RDBMS infoUsed for OLTP applications with a high frequency of relatively simple transactions, that can hold all their data in memory
Primary database modelGraph DBMSRelational DBMSRelational DBMS
Secondary database modelsDocument store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score42.51
Rank#21  Overall
#1  Graph DBMS
Score0.88
Rank#200  Overall
#92  Relational DBMS
Score1.37
Rank#156  Overall
#72  Relational DBMS
Websiteneo4j.comvitess.iowww.voltdb.com
Technical documentationneo4j.com/­docsvitess.io/­docsdocs.voltdb.com
DeveloperNeo4j, Inc.The Linux Foundation, PlanetScaleVoltDB Inc.
Initial release200720132010
Current release5.23, August 202415.0.2, December 202211.3, April 2022
License infoCommercial or Open SourceOpen Source infoGPL version3, commercial licenses availableOpen Source infoApache Version 2.0, commercial licenses availableOpen Source infoAGPL for Community Edition, commercial license for Enterprise, AWS, and Pro Editions
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.
Implementation languageJava, ScalaGoJava, C++
Server operating systemsLinux infoCan also be used server-less as embedded Java database.
OS X
Solaris
Windows
Docker
Linux
macOS
Linux
OS X infofor development
Data schemeschema-free and schema-optionalyesyes
Typing infopredefined data types such as float or dateyesyesyes
Secondary indexesyes infopluggable indexing subsystem, by default Apache Luceneyesyes
SQL infoSupport of SQLnoyes infowith proprietary extensionsyes infoonly a subset of SQL 99
APIs and other access methodsBolt protocol
Cypher query language
Java API
Neo4j-OGM infoObject Graph Mapper
RESTful HTTP API
Spring Data Neo4j
TinkerPop 3
ADO.NET
JDBC
MySQL protocol
ODBC
Java API
JDBC
RESTful HTTP/JSON API
Supported programming languages.Net
Clojure
Elixir
Go
Groovy
Haskell
Java
JavaScript
Perl
PHP
Python
Ruby
Scala
Ada
C
C#
C++
D
Delphi
Eiffel
Erlang
Haskell
Java
JavaScript (Node.js)
Objective-C
OCaml
Perl
PHP
Python
Ruby
Scheme
Tcl
C#
C++
Erlang infonot officially supported
Go
Java
JavaScript infoNode.js
PHP
Python
Server-side scripts infoStored proceduresyes infoUser defined Procedures and Functionsyes infoproprietary syntaxJava
Triggersyes infovia event handleryesno
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 onlyMulti-source replication
Source-replica replication
Multi-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonono
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 across shards
Immediate Consistency within a shard
Foreign keys infoReferential integrityyes infoRelationships in graphsyes infonot for MyISAM storage engineno infoFOREIGN KEY constraints are not supported
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACID at shard levelACID infoTransactions are executed single-threaded within stored procedures
Concurrency infoSupport for concurrent manipulation of datayesyes infotable locks or row locks depending on storage engineyes infoData access is serialized by the server
Durability infoSupport for making data persistentyesyesyes infoSnapshots and command logging
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 rolesUsers and roles with access to stored procedures
More information provided by the system vendor
Neo4jVitessVoltDB
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

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3 October 2024

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20 September 2024

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18 September 2024

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18 September 2024

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7 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
Neo4jVitessVoltDB
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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Recent citations in the news

Neo4j Transforms Its Cloud Database Portfolio to Accelerate Graph Adoption & GenAI for the Enterprise
9 September 2024, insideBIGDATA

Neo4j on ISO GQL: A defining moment in the history of database innovation
1 October 2024, ComputerWeekly.com

Implementing GraphReader with Neo4j and LangGraph | by Tomaz Bratanic | Sep, 2024
20 September 2024, Towards Data Science

Neo4j Transforms Its Cloud Database Portfolio to Accelerate Graph Adoption & GenAI for the Enterprise
4 September 2024, PR Newswire

Neo4j lowers barriers to graph technology with gen AI copilot, 15x read capacity
4 September 2024, VentureBeat

provided by Google News

Deepthi Sigireddi on Distributed Database Architecture in the Cloud Native Era
20 May 2024, InfoQ.com

PlanetScale Unveils Distributed MySQL Database Service Based on Vitess
18 May 2021, Datanami

They scaled YouTube — now they’ll shard everyone with PlanetScale
13 December 2018, TechCrunch

PlanetScale offers undo button to reverse schema migration without losing data
24 March 2022, The Register

PlanetScale Announces $30M Series B Funding to Accelerate Adoption of Instantly Provisioned and Infinitely Scalable Database
23 June 2021, businesswire.com

provided by Google News

 VoltDB Launches Active(N) Lossless Cross Data Center Replication
31 August 2021, PR Newswire

VoltDB Announces Key New Hires
26 October 2021, citybiz

Unveiling Volt Active Data’s game-changing approach to limitless app performance
16 October 2023, YourStory

VoltDB Aims for Fast Big Data Development
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17 April 2018, Solutions Review

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