DBMS > Memgraph vs. OushuDB

System Properties Comparison Memgraph vs. OushuDB

Please select another system to include it in the comparison.

Editorial information provided by DB-Engines

Name

Description

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

A data warehouse powered by Apache HAWQ supporting descriptive analysis and advanced machine learning

Primary database model

Graph DBMS

Relational DBMS

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

Score	2.54
Rank	#98	Overall
	#8	Graph DBMS

Score	0.00
Rank	#380	Overall
	#156	Relational DBMS

Website

memgraph.com

www.oushu.com/product/oushuDB

Technical documentation

memgraph.com/docs

www.oushu.com/documentation

Developer

Memgraph Ltd

Oushu

Initial release

2017

Current release

4.0.1, August 2020

License

Commercial or Open Source

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

C and C++

Server operating systems

Linux

Data scheme

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

SQL

Support of SQL

Full-featured ANSI SQL support

APIs and other access methods

Bolt protocol
Cypher query language

JDBC
ODBC

Supported programming languages

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

C
C++

Server-side scripts

Stored procedures

yes

Triggers

yes

Partitioning methods

Methods for storing different data on different nodes

Sharding

dynamic graph partitioning

yes

Replication methods

Methods for redundantly storing data on multiple nodes

Multi-source replication using RAFT

MapReduce

Offers an API for user-defined Map/Reduce methods

Hadoop integration

Consistency concepts

Methods to ensure consistency in a distributed system

Immediate Consistency

Foreign keys

Referential integrity

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, 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

Users, roles and permissions

Kerberos, SSL and role based access

More information provided by the system vendor

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.

Related products and services

We invite representatives of vendors of related products to contact us for presenting information about their offerings here.

More resources

Recent citations in the 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

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

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

SLM series - Memgraph: The SLM-knowledge graph combo
25 March 2025, Computer Weekly

provided by Google News

Share this page