DBMS > Graph Engine vs. OpenMLDB

System Properties Comparison Graph Engine vs. OpenMLDB

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Our visitors often compare Graph Engine and OpenMLDB with Microsoft Azure Cosmos DB.

Editorial information provided by DB-Engines

Name

Description

A distributed in-memory data processing engine, underpinned by a strongly-typed RAM store and a general distributed computation engine

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

Primary database model

Graph DBMS
Key-value store

Time Series DBMS

Secondary database models

Relational DBMS

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

Score	0.53
Rank	#240	Overall
	#21	Graph DBMS
	#34	Key-value stores

Score	0.08
Rank	#348	Overall
	#35	Time Series DBMS

Website

www.graphengine.io

openmldb.ai

Technical documentation

www.graphengine.io/docs/manual

openmldb.ai/docs/zh/main

Developer

Microsoft

4 Paradigm Inc.

Initial release

2010

2020

Current release

2024-2 February 2024

License

Commercial or Open Source

Open Source

MIT License

Open Source

Cloud-based only

Only available as a cloud service

DBaaS offerings (sponsored links)

Database as a Service

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Implementation language

.NET and C

C++, Java, Scala

Server operating systems

.NET

Linux

Data scheme

yes

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

APIs and other access methods

RESTful HTTP API

JDBC
SQLAlchemy

Supported programming languages

C#
C++
F#
Visual Basic

C++
Go
Java
Python
Scala

Server-side scripts

Stored procedures

yes

Triggers

Partitioning methods

Methods for storing different data on different nodes

horizontal partitioning

Replication methods

Methods for redundantly storing data on multiple nodes

Source-replica replication

Consistency concepts

Methods to ensure consistency in a distributed system

Immediate Consistency

Foreign keys

Referential integrity

Transaction concepts

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

Concurrency

Support for concurrent manipulation of data

yes

Durability

Support for making data persistent

optional: either by committing a write-ahead log (WAL) to the local persistent storage or by dumping the memory to a persistent storage

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

fine grained access rights according to SQL-standard

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More resources

Recent citations in the news

Trinity
30 October 2010, microsoft.com

Open source Microsoft Graph Engine takes on Neo4j
13 February 2017, InfoWorld

IBM releases Graph, a service that can outperform SQL databases
27 July 2016, GeekWire

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27 February 2019, Data Science Central

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29 February 2016, LJ INFOdocket

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