DBMS > Fauna vs. GeoMesa vs. IBM Cloudant

System Properties Comparison Fauna vs. GeoMesa vs. IBM Cloudant

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Editorial information provided by DB-Engines

Name

Description

Fauna provides a web-native interface, with support for GraphQL and custom business logic that integrates seamlessly with the rest of the serverless ecosystem. The underlying globally distributed storage and compute platform is fast, consistent, and reliable, with a modern security infrastructure.

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

Database as a Service offering based on Apache CouchDB

Primary database model

Document store
Graph DBMS
Relational DBMS
Time Series DBMS

Spatial DBMS

Document store

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

Score	1.77
Rank	#157	Overall
	#26	Document stores
	#13	Graph DBMS
	#74	Relational DBMS
	#13	Time Series DBMS

Score	1.00
Rank	#219	Overall
	#4	Spatial DBMS

Score	4.16
Rank	#93	Overall
	#16	Document stores

Website

fauna.com

www.geomesa.org

www.ibm.com/cloud/cloudant

Technical documentation

docs.fauna.com

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

cloud.ibm.com/docs/Cloudant

Developer

Fauna, Inc.

CCRi and others

IBM, Apache Software Foundation

IBM acquired Cloudant in February 2014

Initial release

2014

2010

Current release

4.0.0, March 2023

License

Commercial or Open Source

commercial

Open Source

Apache License 2.0

commercial

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

Scala

Erlang

Server operating systems

hosted

Data scheme

schema-free

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

APIs and other access methods

RESTful HTTP API

RESTful HTTP/JSON API

Supported programming languages

C#
Go
Java
JavaScript
Python
Ruby
Scala
Swift

C#
Java
JavaScript
Objective-C
PHP
Ruby

Server-side scripts

Stored procedures

user defined functions

View functions (Map-Reduce) in JavaScript

Triggers

yes

Partitioning methods

Methods for storing different data on different nodes

horizontal partitioning

consistent hashing

depending on storage layer

Sharding

Replication methods

Methods for redundantly storing data on multiple nodes

Multi-source replication

depending on storage layer

Multi-source replication
Source-replica replication

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

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

Concurrency

Support for concurrent manipulation of data

yes

Optimistic locking

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

User concepts

Access control

Identity management, authentication, and access control

yes

depending on the DBMS used for storage

Access rights for users can be defined per database

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More resources

DB-Engines blog posts

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