DBMS > GeoMesa vs. H2GIS vs. Oracle Rdb vs. SQream DB

System Properties Comparison GeoMesa vs. H2GIS vs. Oracle Rdb vs. SQream DB

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Editorial information provided by DB-Engines

Name

Description

GeoMesa is a distributed spatio-temporal DBMS based on various systems as storage layer.

Spatial extension of H2

a GPU-based, columnar RDBMS for big data analytics workloads

Primary database model

Spatial DBMS

Relational DBMS

Secondary database models

Relational DBMS

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

Score	0.78
Rank	#213	Overall
	#4	Spatial DBMS

Score	0.00
Rank	#383	Overall
	#7	Spatial DBMS

Score	1.08
Rank	#184	Overall
	#85	Relational DBMS

Score	0.70
Rank	#227	Overall
	#104	Relational DBMS

Website

www.geomesa.org

www.h2gis.org

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

sqream.com

Technical documentation

www.geomesa.org/documentation/stable/user/index.html

www.h2gis.org/docs/home

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

docs.sqream.com

Developer

CCRi and others

CNRS

Oracle, originally developed by Digital Equipment Corporation (DEC)

SQream Technologies

Initial release

2014

2013

1984

2017

Current release

4.0.5, February 2024

7.4.1.1, 2021

2022.1.6, December 2022

License

Commercial or Open Source

Open Source

Apache License 2.0

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

Scala

Java

C++, CUDA, Haskell, Java, Scala

Server operating systems

HP Open VMS

Linux

Data scheme

yes

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

yes

Typing

predefined data types such as float or date

yes

yes, ANSI Standard SQL Types

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

APIs and other access methods

.Net
JDBC
ODBC

Supported programming languages

Java

C++
Java
JavaScript (Node.js)
Python

Server-side scripts

Stored procedures

yes

based on H2

user defined functions in Python

Triggers

yes

Partitioning methods

Methods for storing different data on different nodes

depending on storage layer

none

horizontal and vertical partitioning

Replication methods

Methods for redundantly storing data on multiple nodes

depending on storage layer

yes

based on H2

none

MapReduce

Offers an API for user-defined Map/Reduce methods

yes

Consistency concepts

Methods to ensure consistency in a distributed system

depending on storage layer

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

ACID

Concurrency

Support for concurrent manipulation of data

yes

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.

depending on storage layer

yes

User concepts

Access control

yes

depending on the DBMS used for storage

yes

based on H2

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More resources

DB-Engines blog posts

Spatial database management systems
6 April 2021, Matthias Gelbmann

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