DBMS > atoti vs. HyperSQL vs. SpatiaLite

System Properties Comparison atoti vs. HyperSQL vs. SpatiaLite

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Editorial information provided by DB-Engines

Name

Description

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

Multithreaded, transactional RDBMS written in Java

also known as HSQLDB

Spatial extension of SQLite

Primary database model

Object oriented DBMS

Relational DBMS

Spatial DBMS

Secondary database models

Relational DBMS

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

Score	0.56
Rank	#245	Overall
	#10	Object oriented DBMS

Score	3.49
Rank	#87	Overall
	#47	Relational DBMS

Score	1.60
Rank	#149	Overall
	#3	Spatial DBMS

Website

atoti.io

hsqldb.org

www.gaia-gis.it/fossil/libspatialite/index

Technical documentation

docs.atoti.io

hsqldb.org/web/hsqlDocsFrame.html

www.gaia-gis.it/gaia-sins/spatialite_topics.html

Developer

ActiveViam

Alessandro Furieri

Initial release

2001

2008

Current release

2.7.2, June 2023

5.0.0, August 2020

License

Commercial or Open Source

commercial

free versions available

Open Source

based on BSD license

Open Source

MPL 1.1, GPL v2.0 or LGPL v2.1

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++

Server operating systems

All OS with a Java VM

Embedded (into Java applications) and Client-Server operating modes

server-less

Data scheme

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

Multidimensional Expressions (MDX)

yes

APIs and other access methods

HTTP API

JDBC via HTTP
JDBC
ODBC

Supported programming languages

All languages supporting JDBC/ODBC
Java

Server-side scripts

Stored procedures

Python

Java, SQL

Triggers

yes

Partitioning methods

Methods for storing different data on different nodes

Sharding, horizontal partitioning

none

Replication methods

Methods for redundantly storing data on multiple nodes

none

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

Transaction concepts

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

ACID

Concurrency

Support for concurrent manipulation of data

yes, multi-version concurrency control (MVCC)

yes

Durability

Support for making data persistent

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

DB-Engines blog posts

Spatial database management systems
6 April 2021, Matthias Gelbmann

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