DBMS > H2GIS vs. IBM Cloudant vs. YTsaurus

System Properties Comparison H2GIS vs. IBM Cloudant vs. YTsaurus

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Editorial information provided by DB-Engines

Name

Description

Spatial extension of H2

Database as a Service offering based on Apache CouchDB

YTsaurus is an open source platform for distributed storage and processing.

Primary database model

Spatial DBMS

Document store

Document store
Key-value store

Secondary database models

Relational DBMS

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

Score	0.00
Rank	#383	Overall
	#7	Spatial DBMS

Score	2.68
Rank	#106	Overall
	#20	Document stores

Score	0.11
Rank	#340	Overall
	#45	Document stores
	#50	Key-value stores

Website

www.h2gis.org

www.ibm.com/products/cloudant

ytsaurus.tech

Technical documentation

www.h2gis.org/docs/home

cloud.ibm.com/docs/Cloudant

ytsaurus.tech/docs/en

Developer

CNRS

IBM, Apache Software Foundation

IBM acquired Cloudant in February 2014

Yandex

Initial release

2013

2010

2023

License

Commercial or Open Source

Open Source

LGPL 3.0

commercial

Open Source

Apache License, Version 2.0

Cloud-based only

Only available as a cloud service

yes

DBaaS offerings (sponsored links)

Database as a Service

Providers of DBaaS offerings, please contact us to be listed.

Implementation language

Java

Erlang

C++

Server operating systems

hosted

Ubuntu

Data scheme

yes

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

YQL, an SQL-based language, is supported

APIs and other access methods

RESTful HTTP/JSON API

Supported programming languages

Java

C#
Java
JavaScript
Objective-C
PHP
Ruby

C++
Go
Java
JavaScript
Python

Server-side scripts

Stored procedures

yes

based on H2

View functions (Map-Reduce) in JavaScript

Triggers

yes

Partitioning methods

Methods for storing different data on different nodes

none

Sharding

Replication methods

Methods for redundantly storing data on multiple nodes

yes

based on H2

Multi-source replication
Source-replica replication

yes

MapReduce

Offers an API for user-defined Map/Reduce methods

yes

Consistency concepts

Methods to ensure consistency in a distributed system

Immediate Consistency

Eventual Consistency

Foreign keys

Referential integrity

yes

Transaction concepts

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

ACID

atomic operations within a document possible

ACID

Concurrency

Support for concurrent manipulation of data

yes, multi-version concurrency control (MVCC)

yes

Optimistic locking

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

Access rights for users can be defined per database

Access Control Lists

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