DBMS > Neo4j vs. VoltDB

System Properties Comparison Neo4j vs. VoltDB

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Editorial information provided by DB-Engines

Name

Description

Scalable, ACID-compliant graph database designed with a high-performance distributed cluster architecture, available in self-hosted and cloud offerings

Distributed In-Memory NewSQL RDBMS

Used for OLTP applications with a high frequency of relatively simple transactions, that can hold all their data in memory

Primary database model

Graph DBMS

Relational DBMS

DB-Engines Ranking measures the popularity of database management systems
Trend Chart

Score	47.91
Rank	#20	Overall
	#1	Graph DBMS

Score	1.21
Rank	#164	Overall
	#74	Relational DBMS

Website

neo4j.com

www.voltdb.com

Technical documentation

neo4j.com/docs

docs.voltdb.com

Developer

Neo4j, Inc.

VoltDB Inc.

Initial release

2007

2010

Current release

5.23, August 2024

11.3, April 2022

License

Commercial or Open Source

Open Source

GPL version3, commercial licenses available

Open Source

AGPL for Community Edition, commercial license for Enterprise, AWS, and Pro Editions

Cloud-based only

Only available as a cloud service

DBaaS offerings (sponsored links)

Database as a Service

Providers of DBaaS offerings, please contact us to be listed.

Implementation language

Java, Scala

Java, C++

Server operating systems

Linux

Can also be used server-less as embedded Java database.
OS X
Solaris
Windows

Linux
OS X

for development

Data scheme

schema-free and schema-optional

yes

Typing

predefined data types such as float or date

yes

Secondary indexes

yes

pluggable indexing subsystem, by default Apache Lucene

yes

SQL

Support of SQL

yes

only a subset of SQL 99

APIs and other access methods

Bolt protocol
Cypher query language
Java API
Neo4j-OGM

Object Graph Mapper
RESTful HTTP API
Spring Data Neo4j
TinkerPop 3

Java API
JDBC
RESTful HTTP/JSON API

Supported programming languages

.Net
Clojure
Elixir
Go
Groovy
Haskell
Java
JavaScript
Perl
PHP
Python
Ruby
Scala

C#
C++
Erlang

not officially supported
Go
Java
JavaScript

Node.js
PHP
Python

Server-side scripts

Stored procedures

yes

User defined Procedures and Functions

Java

Triggers

yes

via event handler

Partitioning methods

Methods for storing different data on different nodes

yes using Neo4j Fabric

Sharding

Replication methods

Methods for redundantly storing data on multiple nodes

Causal Clustering using Raft protocol

available in in Enterprise Version only

Multi-source replication
Source-replica replication

MapReduce

Offers an API for user-defined Map/Reduce methods

Consistency concepts

Methods to ensure consistency in a distributed system

Causal and Eventual Consistency configurable in Causal Cluster setup
Immediate Consistency in stand-alone mode

Foreign keys

Referential integrity

yes

Relationships in graphs

FOREIGN KEY constraints are not supported

Transaction concepts

Support to ensure data integrity after non-atomic manipulations of data

ACID

Transactions are executed single-threaded within stored procedures

Concurrency

Support for concurrent manipulation of data

yes

Data access is serialized by the server

Durability

Support for making data persistent

yes

Snapshots and command logging

User concepts

Access control

Users, roles and permissions. Pluggable authentication with supported standards (LDAP, Active Directory, Kerberos)

Users and roles with access to stored procedures

More information provided by the system vendor

News

Run Cypher From Java
13 May 2025

Integrating Neo4j With LangChain4j for GraphRAG Vector Stores and Retrievers
12 May 2025

This Week in Neo4j: NODES, Knowledge Graph, Graph Analytics, MCP and more
10 May 2025

Aura Graph Analytics: A Technical Deep Dive
7 May 2025

Introducing Neo4j Aura Graph Analytics: Scalable, Easy-to-Deploy Graph Analytics for Any Data Source
7 May 2025

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More resources

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

Neo4j Brings Graph Analytics to Any Data Platform
14 May 2025, CDOTrends

NASA jettisons Neo4j database for Memgraph citing costs
7 May 2025, theregister.com

Neo4j goes serverless, bringing graph analytics to any data source
7 May 2025, SiliconANGLE

Latest Neo4j release aims to simplify graph technology
7 May 2025, TechTarget

Neo4j Launches Industry's First Graph Analytics Offering For Any Data Platform
7 May 2025, PR Newswire

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

MemSQL, VoltDB Vie For In-Memory Big Data Role
12 February 2015, Information Week

VoltDB Adds Geospatial Support to Its Operational InMemory SQL Database
30 January 2016, App Developer Magazine

VoltDB introduces world’s fastest data platform for 5G expansion
20 August 2018, Geospatial World

provided by Google News

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