DBMS > AlaSQL vs. atoti vs. H2 vs. MaxDB vs. SWC-DB

System Properties Comparison AlaSQL vs. atoti vs. H2 vs. MaxDB vs. SWC-DB

Editorial information provided by DB-Engines

Name

Description

JavaScript DBMS library

An in-memory DBMS combining transactional and analytical processing to handle the aggregation of ever-changing data.

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

A robust and reliable RDBMS optimized to run all major SAP solutions

A high performance, scalable Wide Column DBMS

Primary database model

Document store
Relational DBMS

Object oriented DBMS

Relational DBMS

Wide column store

Secondary database models

Spatial DBMS

Time Series DBMS

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

Score	0.51
Rank	#256	Overall
	#40	Document stores
	#118	Relational DBMS

Score	0.61
Rank	#243	Overall
	#10	Object oriented DBMS

Score	8.33
Rank	#46	Overall
	#30	Relational DBMS

Score	2.26
Rank	#114	Overall
	#55	Relational DBMS

Score	0.08
Rank	#364	Overall
	#13	Wide column stores

Website

github.com/kashirin-alex/swc-db
www.swcdb.org

Technical documentation

github.com/AlaSQL/alasql

docs.atoti.io

www.h2database.com/html/main.html

maxdb.sap.com/documentation

Developer

Andrey Gershun & Mathias R. Wulff

ActiveViam

Thomas Mueller

SAP, acquired from Software AG (Adabas-D) in 1997

Alex Kashirin

Initial release

2014

2005

1984

2020

Current release

2.2.220, July 2023

7.9.10.12, February 2024

0.5, April 2021

License

Commercial or Open Source

Open Source

MIT-License

commercial

free versions available

Open Source

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

commercial

Limited community edition free

Open Source

GPL V3

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

JavaScript

Java

C++

Server operating systems

server-less, requires a JavaScript environment (browser, Node.js)

All OS with a Java VM

AIX
HP-UX
Linux
Solaris
Windows

Linux

Data scheme

schema-free

yes

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

Close to SQL99, but no user access control, stored procedures and host language bindings.

Multidimensional Expressions (MDX)

yes

SQL-like query language

APIs and other access methods

JavaScript API

JDBC
ODBC

ADO.NET
JDBC
ODBC
WebDAV

Proprietary protocol
Thrift

Supported programming languages

JavaScript

Java

.Net
C#
Java
Perl
PHP
Python

C++

Server-side scripts

Stored procedures

Python

Java Stored Procedures and User-Defined Functions

yes

Triggers

yes

Partitioning methods

Methods for storing different data on different nodes

none

Sharding, horizontal partitioning

none

Sharding

Replication methods

Methods for redundantly storing data on multiple nodes

none

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

Source-replica replication

MapReduce

Offers an API for user-defined Map/Reduce methods

Consistency concepts

Methods to ensure consistency in a distributed system

none

Immediate Consistency

Foreign keys

Referential integrity

yes

Transaction concepts

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

yes

only for local storage and DOM-storage

ACID

Concurrency

Support for concurrent manipulation of data

yes, multi-version concurrency control (MVCC)

yes

Durability

Support for making data persistent

yes

by using IndexedDB, SQL.JS or proprietary FileStorage

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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