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  5. Amazon Quicksight vs Databox

Amazon Quicksight vs Databox

OverviewComparisonAlternatives

Overview

Databox
Databox
Stacks30
Followers33
Votes0
Amazon Quicksight
Amazon Quicksight
Stacks207
Followers394
Votes5

Amazon Quicksight vs Databox: What are the differences?

Introduction

When comparing Amazon Quicksight and Databox for data visualization and analytics, there are several key differences to consider.

  1. Data Sources: Amazon Quicksight allows users to connect to various data sources including databases, cloud services, and files to create interactive visuals. Databox, on the other hand, mainly focuses on collecting data from marketing platforms, CRMs, and other business tools to create reports and dashboards.

  2. Customization Options: Amazon Quicksight provides advanced customization options such as custom visualizations, themes, and templates to create personalized dashboards. Databox offers pre-built templates and widgets for quick and easy dashboard creation but does not provide as much flexibility for customization.

  3. Collaboration Features: Amazon Quicksight offers collaboration features that allow multiple users to work on the same dashboard simultaneously and share insights easily. Databox also supports collaboration but lacks some advanced features like real-time collaboration and commenting on specific data points.

  4. Cost Structure: Amazon Quicksight has a pay-per-session pricing model which can be more cost-effective for organizations with fluctuating usage. Databox, on the other hand, offers pricing plans based on the number of data sources and users, which may be more suitable for organizations with consistent data sources and users.

  5. Data Governance and Security: Amazon Quicksight provides robust data governance and security features including encryption, access control, and compliance certifications to ensure data integrity and protection. Databox also prioritizes data security but may not offer the same level of compliance certifications and encryption options as Amazon Quicksight.

  6. Integration Capabilities: Amazon Quicksight seamlessly integrates with other AWS services and third-party applications, making it easier to work with existing data infrastructure. Databox also offers integrations with various platforms but may have limitations in terms of customization and scalability compared to Amazon Quicksight.

In Summary, Amazon Quicksight offers advanced customization, collaboration features, and integration capabilities, while Databox focuses on simplicity, cost structure, and data sources for data visualization and analytics.

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Detailed Comparison

Databox
Databox
Amazon Quicksight
Amazon Quicksight

Databox is an easy-to-use analytics platform that helps growing businesses centralize their data, and use it to make better decisions and improve performance.

Amazon QuickSight is a fast, cloud-powered business analytics service that makes it easy to build visualizations, perform ad-hoc analysis, and quickly get business insights from your data.

Metrics & KPIs; Dashboards; Reports; Benchmarks; Forecast; Goals; Performance Summaries; Notifications; Data Prep
Pay-per-session pricing; Deliver rich, interactive dashboards for your readers; Explore, analyze, collaborate; SPICE (super-fast, parallel, in-memory, calculation engine); ML Insights
Statistics
Stacks
30
Stacks
207
Followers
33
Followers
394
Votes
0
Votes
5
Pros & Cons
No community feedback yet
Pros
  • 1
    Super cheap
  • 1
    Better integration with aws
  • 1
    More features (table calculations, functions, insights)
  • 1
    Good integration with aws Glue ETL services
  • 1
    Dataset versionning
Cons
  • 1
    Very basic BI tool
  • 1
    Only works in AWS environments (not GCP, Azure)
Integrations
Google Search Console
Google Search Console
SEMrush
SEMrush
Intercom
Intercom
Wistia
Wistia
ActiveCampaign
ActiveCampaign
Jira
Jira
Harvest
Harvest
HubSpot
HubSpot
SurveyMonkey
SurveyMonkey
Shopify
Shopify
Amazon RDS
Amazon RDS
Amazon S3
Amazon S3
Amazon Aurora
Amazon Aurora
Amazon Redshift
Amazon Redshift

What are some alternatives to Databox, Amazon Quicksight?

Metabase

Metabase

It is an easy way to generate charts and dashboards, ask simple ad hoc queries without using SQL, and see detailed information about rows in your Database. You can set it up in under 5 minutes, and then give yourself and others a place to ask simple questions and understand the data your application is generating.

Superset

Superset

Superset's main goal is to make it easy to slice, dice and visualize data. It empowers users to perform analytics at the speed of thought.

Cube

Cube

Cube: the universal semantic layer that makes it easy to connect BI silos, embed analytics, and power your data apps and AI with context.

Power BI

Power BI

It aims to provide interactive visualizations and business intelligence capabilities with an interface simple enough for end users to create their own reports and dashboards.

Mode

Mode

Created by analysts, for analysts, Mode is a SQL-based analytics tool that connects directly to your database. Mode is designed to alleviate the bottlenecks in today's analytical workflow and drive collaboration around data projects.

Google Datastudio

Google Datastudio

It lets you create reports and data visualizations. Data Sources are reusable components that connect a report to your data, such as Google Analytics, Google Sheets, Google AdWords and so forth. You can unlock the power of your data with interactive dashboards and engaging reports that inspire smarter business decisions.

AskNed

AskNed

AskNed is an analytics platform where enterprise users can get answers from their data by simply typing questions in plain English.

Shiny

Shiny

It is an open source R package that provides an elegant and powerful web framework for building web applications using R. It helps you turn your analyses into interactive web applications without requiring HTML, CSS, or JavaScript knowledge.

Redash

Redash

Redash helps you make sense of your data. Connect and query your data sources, build dashboards to visualize data and share them with your company.

Azure Synapse

Azure Synapse

It is an analytics service that brings together enterprise data warehousing and Big Data analytics. It gives you the freedom to query data on your terms, using either serverless on-demand or provisioned resources—at scale. It brings these two worlds together with a unified experience to ingest, prepare, manage, and serve data for immediate BI and machine learning needs.

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