DBMS > H2GIS vs. Oracle Rdb vs. YottaDB

System Properties Comparison H2GIS vs. Oracle Rdb vs. YottaDB

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Editorial information provided by DB-Engines

Name

Description

Spatial extension of H2

A fast and solid embedded Key-value store

Primary database model

Spatial DBMS

Relational DBMS

Key-value store

Secondary database models

Relational DBMS

using the Octo plugin

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

Score	0.00
Rank	#383	Overall
	#7	Spatial DBMS

Score	1.08
Rank	#184	Overall
	#85	Relational DBMS

Score	0.20
Rank	#317	Overall
	#47	Key-value stores

Website

www.h2gis.org

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

yottadb.com

Technical documentation

www.h2gis.org/docs/home

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

yottadb.com/resources/documentation

Developer

CNRS

Oracle, originally developed by Digital Equipment Corporation (DEC)

YottaDB, LLC

Initial release

2013

1984

2001

Current release

7.4.1.1, 2021

License

Commercial or Open Source

Open Source

LGPL 3.0

commercial

Open Source

AGPL 3.0

Cloud-based only

Only available as a cloud service

DBaaS offerings (sponsored links)

Database as a Service

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Implementation language

Java

Server operating systems

HP Open VMS

Docker
Linux

Data scheme

yes

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

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

by using the Octo plugin

APIs and other access methods

PostgreSQL wire protocol

using the Octo plugin
Proprietary protocol

Supported programming languages

Java

C
Go
JavaScript (Node.js)
Lua
M
Perl
Python
Rust

Server-side scripts

Stored procedures

yes

based on H2

Triggers

yes

Partitioning methods

Methods for storing different data on different nodes

none

Replication methods

Methods for redundantly storing data on multiple nodes

yes

based on H2

yes

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

optimistic locking

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

Users and groups based on OS-security mechanisms

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