DBMS > atoti vs. EventStoreDB vs. H2GIS vs. Oracle Rdb

System Properties Comparison atoti vs. EventStoreDB vs. H2GIS vs. Oracle Rdb

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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.

Industrial-strength, open-source database solution built from the ground up for event sourcing.

Spatial extension of H2

Primary database model

Secondary database models

Relational DBMS

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

Score	0.45
Rank	#253	Overall
	#13	Object oriented DBMS

Score	1.07
Rank	#181	Overall
	#1	Event Stores

Score	0.00
Rank	#385	Overall
	#7	Spatial DBMS

Score	1.04
Rank	#184	Overall
	#84	Relational DBMS

Website

atoti.io

www.eventstore.com

www.h2gis.org

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

Technical documentation

docs.atoti.io

developers.eventstore.com

www.h2gis.org/docs/home

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

Developer

ActiveViam

Event Store Limited

CNRS

Oracle, originally developed by Digital Equipment Corporation (DEC)

Initial release

2012

2013

1984

Current release

21.2, February 2021

7.4.1.1, 2021

License

Commercial or Open Source

commercial

free versions available

Open Source

LGPL 3.0

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

Server operating systems

Linux
Windows

HP Open VMS

Data scheme

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

Multidimensional Expressions (MDX)

yes

Supported programming languages

Java

Server-side scripts

Stored procedures

Python

yes

based on H2

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

yes

based on H2

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

yes, on a single node

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

yes

based on H2

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