DBMS > Drizzle vs. Memgraph vs. OpenMLDB

System Properties Comparison Drizzle vs. Memgraph vs. OpenMLDB

Please select another system to include it in the comparison.

Editorial information provided by DB-Engines

Name

Drizzle has published its last release in September 2012. The open-source project is discontinued and Drizzle is excluded from the DB-Engines ranking.

Description

MySQL fork with a pluggable micro-kernel and with an emphasis of performance over compatibility.

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

An open-source machine learning database that provides a feature platform for training and inference

Primary database model

Relational DBMS

Graph DBMS

Time Series DBMS

Secondary database models

Relational DBMS

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

Score	2.54
Rank	#98	Overall
	#8	Graph DBMS

Score	0.05
Rank	#358	Overall
	#38	Time Series DBMS

Website

memgraph.com

openmldb.ai

Technical documentation

memgraph.com/docs

openmldb.ai/docs/zh/main

Developer

Drizzle project, originally started by Brian Aker

Memgraph Ltd

4 Paradigm Inc.

Initial release

2008

2017

2020

Current release

7.2.4, September 2012

2024-2 February 2024

License

Commercial or Open Source

Open Source

GNU GPL

Open Source

BSL 1.1; commercial license for enterprise edition available

Open Source

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++

C and C++

C++, Java, Scala

Server operating systems

FreeBSD
Linux
OS X

Linux

Data scheme

yes

schema-free and schema-optional

Fixed schema

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

yes

with proprietary extensions

yes

APIs and other access methods

JDBC

Bolt protocol
Cypher query language

JDBC
SQLAlchemy

Supported programming languages

C
C++
Java
PHP

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

C++
Go
Java
Python
Scala

Server-side scripts

Stored procedures

Triggers

hooks for callbacks inside the server can be used.

Partitioning methods

Methods for storing different data on different nodes

Sharding

dynamic graph partitioning

horizontal partitioning

Replication methods

Methods for redundantly storing data on multiple nodes

Multi-source replication
Source-replica replication

Multi-source replication using RAFT

Source-replica replication

MapReduce

Offers an API for user-defined Map/Reduce methods

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

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

Pluggable authentication mechanisms

e.g. LDAP, HTTP

Users, roles and permissions

fine grained access rights according to SQL-standard

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

DB-Engines blog posts

MySQL won the April ranking; did its forks follow?
1 April 2015, Paul Andlinger

Has MySQL finally lost its mojo?
1 July 2013, Matthias Gelbmann

show all

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

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

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

provided by Google News

Compared to Native Spark 3.0, We Have Achieved Significant Optimization Effects in the AI
4 August 2021, Towards Data Science

provided by Google News

Share this page