DBMS > H2GIS vs. Realm vs. RethinkDB vs. YottaDB

System Properties Comparison H2GIS vs. Realm vs. RethinkDB vs. YottaDB

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Editorial information provided by DB-Engines

Name

Description

Spatial extension of H2

A DBMS built for use on mobile devices that’s a fast, easy to use alternative to SQLite and Core Data

DBMS for the Web with a mechanism to push updated query results to applications in realtime.

A fast and solid embedded Key-value store

Primary database model

Spatial DBMS

Document store

Key-value store

Secondary database models

Relational DBMS

Spatial DBMS

Relational DBMS

using the Octo plugin

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

Score	0.08
Rank	#368	Overall
	#7	Spatial DBMS

Score	7.41
Rank	#52	Overall
	#8	Document stores

Score	2.66
Rank	#107	Overall
	#20	Document stores

Score	0.28
Rank	#306	Overall
	#44	Key-value stores

Website

Technical documentation

www.h2gis.org/docs/home

realm.io/docs

rethinkdb.com/docs

yottadb.com/resources/documentation

Developer

CNRS

Realm, acquired by MongoDB in May 2019

The Linux Foundation

since July 2017

YottaDB, LLC

Initial release

2013

2014

2009

2001

Current release

2.4.1, August 2020

License

Commercial or Open Source

Open Source

LGPL 3.0

Open Source

Apache Version 2

Open Source

AGPL 3.0

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

C++

Server operating systems

Android
Backend: server-less
iOS
Windows

Linux
OS X
Windows

Docker
Linux

Data scheme

yes

schema-free

Typing

predefined data types such as float or date

yes

string, binary, float, bool, date, geometry

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

.Net
Java

with Android only
Objective-C
React Native
Swift

community-supported driver
C#

community-supported driver
C++

community-supported driver
Clojure

community-supported driver
Dart

community-supported driver
Erlang

community-supported driver
Go

community-supported driver
Haskell

community-supported driver
Java

official driver
JavaScript (Node.js)

official driver
Lisp

community-supported driver
Lua

community-supported driver
Objective-C

community-supported driver
Perl

community-supported driver
PHP

community-supported driver
Python

official driver
Ruby

official driver
Scala

community-supported driver

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

Server-side scripts

Stored procedures

yes

based on H2

runs within the applications so server-side scripts are unnecessary

Triggers

yes

Change Listeners

Client-side triggers through changefeeds

Partitioning methods

Methods for storing different data on different nodes

none

Sharding

range based

Replication methods

Methods for redundantly storing data on multiple nodes

yes

based on H2

none

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

Foreign keys

Referential integrity

yes

Transaction concepts

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

ACID

Atomic single-document operations

optimistic locking

Concurrency

Support for concurrent manipulation of data

yes, multi-version concurrency control (MVCC)

yes

MVCC based

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

In-Memory realm

yes

User concepts

Access control

yes

based on H2

yes

users and table-level permissions

Users and groups based on OS-security mechanisms

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