DBMS > GraphDB vs. Memgraph vs. VelocityDB

System Properties Comparison GraphDB vs. Memgraph vs. VelocityDB

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Editorial information provided by DB-Engines

Name

Description

Enterprise-ready RDF and graph database with efficient reasoning, cluster and external index synchronization support. It supports also SQL JDBC access to Knowledge Graph and GraphQL over SPARQL.

An open source graph database built for real-time streaming and compatible with Neo4j

A .NET Object Database that can be embedded/distributed and extended to a graph data model (VelocityGraph)

Primary database model

Graph DBMS
RDF store

Graph DBMS

Graph DBMS
Object oriented DBMS

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

Score	2.59
Rank	#96	Overall
	#7	Graph DBMS
	#3	RDF stores

Score	2.54
Rank	#98	Overall
	#8	Graph DBMS

Score	0.00
Rank	#381	Overall
	#40	Graph DBMS
	#19	Object oriented DBMS

Website

www.ontotext.com

memgraph.com

velocitydb.com

Technical documentation

graphdb.ontotext.com/documentation

memgraph.com/docs

velocitydb.com/UserGuide

Developer

Ontotext

Memgraph Ltd

VelocityDB Inc

Initial release

2000

2017

2011

Current release

10.4, October 2023

7.x

License

Commercial or Open Source

commercial

Some plugins of GraphDB Workbench are open sourced

Open Source

BSL 1.1; commercial license for enterprise edition available

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.

Implementation language

Java

C and C++

Server operating systems

All OS with a Java VM
Linux
OS X
Windows

Linux

Any that supports .NET

Data scheme

schema-free and OWL/RDFS-schema support; RDF shapes

schema-free and schema-optional

yes

Typing

predefined data types such as float or date

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, supports real-time synchronization and indexing in SOLR/Elastic search/Lucene and GeoSPARQL geometry data indexes

yes

SQL

Support of SQL

stored SPARQL accessed as SQL using Apache Calcite through JDBC/ODBC

APIs and other access methods

GeoSPARQL
GraphQL
GraphQL Federation
Java API
JDBC
RDF4J API
RDFS
RIO
Sail API
Sesame REST HTTP Protocol
SPARQL 1.1

Bolt protocol
Cypher query language

.Net

Supported programming languages

.Net
C#
Clojure
Java
JavaScript (Node.js)
PHP
Python
Ruby
Scala

.Net
C
C++
Elixir
Go
Haskell
Java
JavaScript
PHP
Python
Ruby
Scala

.Net

Server-side scripts

Stored procedures

well-defined plugin interfaces; JavaScript server-side extensibility

Triggers

Callbacks are triggered when data changes

Partitioning methods

Methods for storing different data on different nodes

none

Sharding

dynamic graph partitioning

Sharding

Replication methods

Methods for redundantly storing data on multiple nodes

Multi-source replication

Multi-source replication using RAFT

MapReduce

Offers an API for user-defined Map/Reduce methods

Consistency concepts

Methods to ensure consistency in a distributed system

Immediate Consistency, Eventual consistency (configurable in cluster mode per master or individual client request)

Immediate Consistency

Foreign keys

Referential integrity

yes

Constraint checking

yes

relationships in graphs

Transaction concepts

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

ACID

with snapshot isolation

ACID

Concurrency

Support for concurrent manipulation of data

yes

yes, multi-version concurrency control (MVCC)

yes

Durability

Support for making data persistent

yes

with periodic snapshot and write-ahead logging (WAL) of changes

yes

In-memory capabilities

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

yes

User concepts

Access control

Default Basic authentication through RDF4J client, or via Java when run with cURL, default token-based in the Workbench or via Rest API, optional access through OpenID or Kerberos single sign-on.

Users, roles and permissions

Based on Windows Authentication

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More resources

Recent citations in the news

Semantic Web Company and Ontotext merge to form Graphwise
23 October 2024, Blocks and Files

Semantic Web Company and Ontotext Merge to Create Knowledge Graph and AI Powerhouse Graphwise
23 October 2024, PR Newswire

Ontotext Platform 3.0 for Enterprise Knowledge Graphs Released
18 December 2019, KDnuggets

A Content Management Platform and a Graph Database Come Together in the New Company: Graphwise
28 October 2024, TheRecursive.com

Major AI Merger: Bulgarian Ontotext merges with Semantic Web Company to form Graphwise
24 October 2024, trendingtopics.eu

provided by Google News

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

Memgraph 3.0 Delivers Streamlined Way to Build Enterprise-Specific GenAI and Agentic AI
10 February 2025, Business Wire

This CEO Got Bill Gates’ Attention—Now He’s Fueling AI with Memgraph’s Speedy Graph Tech
9 April 2025, HackerNoon

Memgraph is Recognized as a Responsive Company in the Knowledge Graph Market by MarketsandMarkets' 360Quadrants
9 April 2025, MarketsandMarkets

Memgraph 3 Simplifies Graph Based AI Projects
11 February 2025, i-programmer.info

provided by Google News

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