DBMS > Amazon Redshift vs. Coveo vs. Firebase Realtime Database vs. Graphite

System Properties Comparison Amazon Redshift vs. Coveo vs. Firebase Realtime Database vs. Graphite

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Editorial information provided by DB-Engines

Name

Description

Large scale data warehouse service for use with business intelligence tools

AI-powered hosted search, recommendation and personalization platform providing tools for both low-code and full-code development

Cloud-hosted realtime document store. iOS, Android, and JavaScript clients share one Realtime Database instance and automatically receive updates with the newest data.

Data logging and graphing tool for time series data

The storage layer (fixed size database) is called Whisper

Primary database model

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

Score	15.25
Rank	#38	Overall
	#23	Relational DBMS

Score	2.14
Rank	#116	Overall
	#11	Search engines

Score	13.60
Rank	#39	Overall
	#6	Document stores

Score	5.19
Rank	#62	Overall
	#4	Time Series DBMS

Website

aws.amazon.com/redshift

www.coveo.com

firebase.google.com/products/realtime-database

github.com/graphite-project/graphite-web

Technical documentation

docs.aws.amazon.com/redshift

docs.coveo.com

firebase.google.com/docs/database

graphite.readthedocs.io

Developer

Amazon (based on PostgreSQL)

Coveo

Google

acquired by Google 2014

Chris Davis

Initial release

2012

2006

License

Commercial or Open Source

commercial

Open Source

Apache 2.0

Cloud-based only

Only available as a cloud service

yes

DBaaS offerings (sponsored links)

Database as a Service

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Implementation language

Python

Server operating systems

hosted

Linux
Unix

Data scheme

yes

hybrid - fields need to be configured prior to indexing, but relationships can be exploited at query time without pre-configuration

schema-free

yes

Typing

predefined data types such as float or date

yes

Numeric data only

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

restricted

yes

SQL

Support of SQL

yes

does not fully support an SQL-standard

APIs and other access methods

JDBC
ODBC

RESTful HTTP API

Android
iOS
JavaScript API
RESTful HTTP API

HTTP API
Sockets

Supported programming languages

All languages supporting JDBC/ODBC

C#
Java
JavaScript
Python

Java
JavaScript
Objective-C

JavaScript (Node.js)
Python

Server-side scripts

Stored procedures

user defined functions

in Python

limited functionality with using 'rules'

Triggers

yes

Callbacks are triggered when data changes

Partitioning methods

Methods for storing different data on different nodes

Sharding

yes

none

Replication methods

Methods for redundantly storing data on multiple nodes

yes

none

MapReduce

Offers an API for user-defined Map/Reduce methods

Consistency concepts

Methods to ensure consistency in a distributed system

Immediate Consistency

Eventual Consistency

if the client is offline
Immediate Consistency

if the client is online

none

Foreign keys

Referential integrity

yes

informational only, not enforced by the system

yes

Transaction concepts

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

ACID

yes

Concurrency

Support for concurrent manipulation of data

yes

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.

yes

User concepts

Access control

fine grained access rights according to SQL-standard

granular access controls, API key management, content filters

yes, based on authentication and database rules

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