DBMS > Neo4j vs. Quasardb vs. TerminusDB vs. Valentina Server

System Properties Comparison Neo4j vs. Quasardb vs. TerminusDB vs. Valentina Server

Please select another system to include it in the comparison.

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, high-performance timeseries database

Scalable Graph Database platform making enterprise data available by exploiting inferred entities and relationships

Object-relational database and reports server

Primary database model

Secondary database models

Document store
RDF store

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

Score	60.14
Rank	#19	Overall
	#1	Graph DBMS

Score	0.11
Rank	#310	Overall
	#28	Time Series DBMS

Score	0.14
Rank	#302	Overall
	#27	Graph DBMS

Score	0.18
Rank	#290	Overall
	#135	Relational DBMS

Website

Technical documentation

neo4j.com/docs

doc.quasar.ai/master

terminusdb.github.io/terminusdb/#

valentina-db.com/docs/dokuwiki/v5/doku.php

Developer

Neo4j, Inc.

quasardb

DataChemist Ltd.

Paradigma Software

Initial release

2007

2009

2018

1999

Current release

4.4.7, May 2022

3.13.3, April 2022

10.0.21, March 2022

5.7.5

License

Commercial or Open Source

Open Source

GPL version3, commercial licenses available

commercial

Free community edition, Non-profit organizations and non-commercial usage are eligible for free licenses

Open Source

GPL V3

commercial

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.

Neo4j Aura: Neo4j’s fully managed cloud service: The zero-admin, always-on graph database for cloud developers.

Implementation language

Java, Scala

C++

Prolog, Rust

Server operating systems

Linux

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

BSD
Linux
OS X
Windows

Linux

Linux
OS X
Windows

Data scheme

schema-free and schema-optional

schema-free

yes

Typing

predefined data types such as float or date

yes

integer and binary

yes

XML support

Some form of processing data in XML format, e.g. support for XML data structures, and/or support for XPath, XQuery or XSLT.

Secondary indexes

yes

pluggable indexing subsystem, by default Apache Lucene

yes

with tags

yes

SQL

Support of SQL

SQL-like query language

SQL-like query language (WOQL)

yes

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

HTTP API

OWL
RESTful HTTP API
WOQL (Web Object Query Language)

ODBC

Supported programming languages

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

.Net
C
C#
C++
Go
Java
JavaScript (Node.js)
PHP
Python
R

JavaScript
Python

.Net
C
C#
C++
Objective-C
PHP
Ruby
Visual Basic
Visual Basic.NET

Server-side scripts

Stored procedures

yes

User defined Procedures and Functions

yes

Triggers

yes

via event handler

yes

Partitioning methods

Methods for storing different data on different nodes

yes using Neo4j Fabric

Sharding

consistent hashing

Graph Partitioning

Replication methods

Methods for redundantly storing data on multiple nodes

Causal Clustering using Raft protocol

available in in Enterprise Version only

Source-replica replication with selectable replication factor

Journaling Streams

MapReduce

Offers an API for user-defined Map/Reduce methods

with Hadoop integration

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

Immediate Consistency

Foreign keys

Referential integrity

yes

Relationships in graphs

yes

Transaction concepts

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

ACID

Concurrency

Support for concurrent manipulation of data

yes

Durability

Support for making data persistent

yes

by using LevelDB

yes

in-memory journaling

yes

In-memory capabilities

Is there an option to define some or all structures to be held in-memory only.

yes

Transient mode

yes

User concepts

Access control

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

Cryptographically strong user authentication and audit trail

Role-based access control

fine grained access rights according to SQL-standard

More information provided by the system vendor

Specific characteristics

Neo4j delivers graph technology that has been battle tested for performance and scale...
» more

High-performance , high-speed, fully integrated timeseries database Seamlessly combines...
» more

Competitive advantages

Neo4j is the market leader, graph database category creator, and the most widely...
» more

High performance in a cost-effective small package Real-time results for even large...
» more

Typical application scenarios

Real-Time Recommendations Master Data Management Identity and Access Management Network...
» more

Tick database Predictive maintenance Pre-deal checks Large scale monitoring
» more

Key customers

Over 800 commercial customers and over 4300 startups use Neo4j. Flagship customers...
» more

Large EU investment banks US based hedge funds Orolia Tellmeplus
» more

Market metrics

Neo4j boasts the world's largest graph database ecosystem with more than 140 million...
» more

Has been running in very demanding production environments since 2013 Rapid adoption...
» more

Licensing and pricing models

GPL v3 license that can be used all the places where you might use MySQL. Neo4j Commercial...
» more

Community edition limited to 2 nodes and 16 GiB of storage per node available for...
» more

News

This Week in Neo4j: Graph Composition, Cypher Tips, Dataset Analysis, Kafka Messages, Running Backups, Legal AI, and More
21 May 2022

How Knowledge Graphs Drive More Sales With Real-Time Recommendation Engines
20 May 2022

Our Journey to Self-Discovery: Synthesizing 30 Years of Data Pipelines With Knowledge Graphs
17 May 2022

How Knowledge Graphs Drive More Sales With Real-Time Recommendation Engines
16 May 2022

This Week in Neo4j: Graphs4Good, GraphQL, Game of Life, Information Extraction, Cypher Map Projection, and More
14 May 2022

We invite representatives of system vendors to contact us for updating and extending the system information,
and for displaying vendor-provided information such as key customers, competitive advantages and market metrics.