DBMS > H2 vs. LeanXcale vs. Memgraph vs. mSQL vs. Oracle Rdb

System Properties Comparison H2 vs. LeanXcale vs. Memgraph vs. mSQL vs. Oracle Rdb

Editorial information provided by DB-Engines

Name

Description

Full-featured RDBMS with a small footprint, either embedded into a Java application or used as a database server.

A highly scalable full ACID SQL database with fast NoSQL data ingestion and GIS capabilities

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

mSQL (Mini SQL) is a simple and lightweight RDBMS

Primary database model

Relational DBMS

Key-value store
Relational DBMS

Graph DBMS

Relational DBMS

Secondary database models

Spatial DBMS

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

Score	7.57
Rank	#47	Overall
	#30	Relational DBMS

Score	0.28
Rank	#286	Overall
	#41	Key-value stores
	#130	Relational DBMS

Score	2.91
Rank	#94	Overall
	#7	Graph DBMS

Score	1.26
Rank	#163	Overall
	#74	Relational DBMS

Score	1.04
Rank	#184	Overall
	#84	Relational DBMS

Website

www.h2database.com

www.leanxcale.com

memgraph.com

hughestech.com.au/products/msql

www.oracle.com/database/technologies/related/rdb.html

Technical documentation

www.h2database.com/html/main.html

memgraph.com/docs

www.oracle.com/database/technologies/related/rdb-doc.html

Social network pages

Developer

Thomas Mueller

LeanXcale

Memgraph Ltd

Hughes Technologies

Oracle, originally developed by Digital Equipment Corporation (DEC)

Initial release

2005

2015

2017

1994

1984

Current release

2.2.220, July 2023

4.4, October 2021

7.4.1.1, 2021

License

Commercial or Open Source

Open Source

dual-licence (Mozilla public license, Eclipse public license)

commercial

Open Source

BSL 1.1; commercial license for enterprise edition available

commercial

free licenses can be provided

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

AIX
HP-UX
Linux
OS X
Solaris SPARC/x86
Windows

HP Open VMS

Data scheme

yes

schema-free and schema-optional

yes

Flexible Schema (defined schema, partial schema, schema free)

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

through Apache Derby

A subset of ANSI SQL is implemented

no subqueries, aggregate functions, views, foreign keys, triggers

yes

APIs and other access methods

JDBC
ODBC

JDBC
Kafka Connector
ODBC
proprietary key/value interface
Spark Connector

Bolt protocol
Cypher query language

JDBC
ODBC

Supported programming languages

Java

C
Java
Scala

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

C
C++
Delphi
Java
Perl
PHP
Tcl

Server-side scripts

Stored procedures

Java Stored Procedures and User-Defined Functions

Triggers

yes

Partitioning methods

Methods for storing different data on different nodes

none

Sharding

dynamic graph partitioning

none

Replication methods

Methods for redundantly storing data on multiple nodes

With clustering: 2 database servers on different computers operate on identical copies of a database

Multi-source replication using RAFT

none

MapReduce

Offers an API for user-defined Map/Reduce methods

Consistency concepts

Methods to ensure consistency in a distributed system

Immediate Consistency

none

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

with snapshot isolation

yes, on a single node

Concurrency

Support for concurrent manipulation of data

yes, multi-version concurrency control (MVCC)

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

fine grained access rights according to SQL-standard

Users, roles and permissions

More information provided by the system vendor

Specific characteristics

Memgraph directly connects to your streaming infrastructure so you and your team...
» more

Competitive advantages

Business Source License ensures a future for the Memgraph community MAGE algorithm...
» more

Typical application scenarios

Graph algorithms in bioinformatics Social network analysis Cryptocurrency network...
» more

Licensing and pricing models

You can check out our pricing model and licenses on the company website .
» more

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and for displaying vendor-provided information such as key customers, competitive advantages and market metrics.

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More resources

Recent citations in the news

Enhance Your Network Analysis with the Power of a Graph DB
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Graph database company Memgraph raises $9.34M
5 October 2021, VentureBeat

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London-based Memgraph raises over €8 million in seed funding to provide Streaming Graph Algorithms to the masses
5 October 2021, EU-Startups

Graph Database Market to grow at a CAGR of 19.9% from 2022 to 2027|Increased demand for low-latency queries is a major trend _ Technavio
7 August 2023, PR Newswire

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