DBMS > Galaxybase vs. GeoMesa vs. Ultipa

System Properties Comparison Galaxybase vs. GeoMesa vs. Ultipa

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Editorial information provided by DB-Engines

Name

Description

Scalable, ACID-compliant native distributed parallel graph platform

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

High performance Graph DBMS supporting HTAP high availability cluster deployment

Primary database model

Graph DBMS

Spatial DBMS

Graph DBMS

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Trend Chart

Score	0.00
Rank	#383	Overall
	#39	Graph DBMS

Score	0.78
Rank	#213	Overall
	#4	Spatial DBMS

Score	0.13
Rank	#335	Overall
	#31	Graph DBMS

Website

galaxybase.com

www.geomesa.org

www.ultipa.com

Technical documentation

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

www.ultipa.com/document

Developer

Chuanglin(Createlink) Technology Co., Ltd 浙江创邻科技有限公司

CCRi and others

Ultipa

Initial release

2017

2014

2019

Current release

Nov 20, November 2021

4.0.5, February 2024

License

Commercial or Open Source

commercial

Open Source

Apache License 2.0

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

C and Java

Scala

Server operating systems

Linux

Data scheme

Strong typed schema

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

APIs and other access methods

Browser interface
console (shell)
Graph API (Gremlin)
OpenCypher
Proprietary native API

RESTful HTTP API

Supported programming languages

Go
Java
Python

C++
Go
Java
JavaScript (Node.js)
Python

Server-side scripts

Stored procedures

user defined procedures and functions

Triggers

Partitioning methods

Methods for storing different data on different nodes

Sharding

depending on storage layer

Replication methods

Methods for redundantly storing data on multiple nodes

depending on storage layer

MapReduce

Offers an API for user-defined Map/Reduce methods

yes

Consistency concepts

Methods to ensure consistency in a distributed system

Immediate Consistency

depending on storage layer

Foreign keys

Referential integrity

yes

Relationships in graphs

Transaction concepts

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

ACID

Concurrency

Support for concurrent manipulation of data

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

depending on storage layer

User concepts

Access control

Role-based access control

yes

depending on the DBMS used for storage

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More resources

DB-Engines blog posts

Spatial database management systems
6 April 2021, Matthias Gelbmann

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Technology
7 March 2024, Caj News Africa

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