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DBMS > GeoMesa vs. RavenDB vs. Riak KV vs. SQL.JS

System Properties Comparison GeoMesa vs. RavenDB vs. Riak KV vs. SQL.JS

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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.

Open Source Operational and Transactional Enterprise NoSQL Document Database

Distributed, fault tolerant key-value store

Port of SQLite to JavaScript

Primary database model

Key-value store

with links between data sets and object tags for the creation of secondary indexes

Relational DBMS

Secondary database models

Graph DBMS
Spatial DBMS
Time Series DBMS

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

Score	0.86
Rank	#205	Overall
	#4	Spatial DBMS

Score	2.84
Rank	#101	Overall
	#18	Document stores

Score	4.01
Rank	#79	Overall
	#9	Key-value stores

Score	0.63
Rank	#241	Overall
	#112	Relational DBMS

Website

www.geomesa.org

Technical documentation

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

ravendb.net/docs

www.tiot.jp/riak-docs/riak/kv/latest

sql.js.org/documentation/index.html

Developer

CCRi and others

Hibernating Rhinos

OpenSource, formerly Basho Technologies

Alon Zakai

enhancements implemented by others

Initial release

2014

2010

2009

2012

Current release

5.0.0, May 2024

5.4, July 2022

3.2.0, December 2022

License

Commercial or Open Source

Open Source

Apache License 2.0

Open Source

AGPL version 3, commercial license available

Open Source

Apache version 2, commercial enterprise edition

Open Source

Cloud-based only

Only available as a cloud service

no

no

no

no

DBaaS offerings (sponsored links)

Database as a Service

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

Implementation language

Scala

C#

Erlang

JavaScript

Server operating systems

Linux
macOS
Raspberry Pi
Windows

Linux
OS X

server-less, requires a JavaScript environment (browser, Node.js)

Data scheme

yes

schema-free

schema-free

yes

Typing

predefined data types such as float or date

yes

no

no

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.

no

no

no

Secondary indexes

yes

yes

restricted

SQL

Support of SQL

no

SQL-like query language (RQL)

no

yes

SQL-92 is not fully supported

APIs and other access methods

.NET Client API
F# Client API
Go Client API
Java Client API
NodeJS Client API
PHP Client API
Python Client API
RESTful HTTP API

HTTP API
Native Erlang Interface

JavaScript API

Supported programming languages

.Net
C#
F#
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby

C

unofficial client library
C#
C++

unofficial client library
Clojure

unofficial client library
Dart

unofficial client library
Erlang
Go

unofficial client library
Groovy

unofficial client library
Haskell

unofficial client library
Java
JavaScript

unofficial client library
Lisp

unofficial client library
Perl

unofficial client library
PHP
Python
Ruby
Scala

unofficial client library
Smalltalk

unofficial client library

JavaScript

Server-side scripts

Stored procedures

no

yes

Erlang

no

Triggers

no

yes

yes

pre-commit hooks and post-commit hooks

no

Partitioning methods

Methods for storing different data on different nodes

depending on storage layer

Sharding

Sharding

no "single point of failure"

none

Replication methods

Methods for redundantly storing data on multiple nodes

depending on storage layer

Multi-source replication

selectable replication factor

none

MapReduce

Offers an API for user-defined Map/Reduce methods

yes

yes

yes

no

Consistency concepts

Methods to ensure consistency in a distributed system

depending on storage layer

Default ACID transactions on the local node (eventually consistent across the cluster). Atomic operations with cluster-wide ACID transactions. Eventual consistency for indexes and full-text search indexes.

Eventual Consistency

none

Foreign keys

Referential integrity

no

no

no

links between data sets can be stored

yes

Transaction concepts

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

no

ACID, Cluster-wide transaction available

no

ACID

Concurrency

Support for concurrent manipulation of data

yes

yes

yes

Durability

Support for making data persistent

yes

yes

yes

no

except by serializing a db to a file

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

Authorization levels configured per client per database

yes, using Riak Security

no

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More resources

DB-Engines blog posts

Spatial database management systems
6 April 2021, Matthias Gelbmann

New kids on the block: database management systems implemented in JavaScript
1 December 2014, Matthias Gelbmann

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