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  5. Amazon Quicksight vs Cluvio vs Metabase

Amazon Quicksight vs Cluvio vs Metabase

OverviewComparisonAlternatives

Overview

Metabase
Metabase
Stacks928
Followers1.2K
Votes271
GitHub Stars44.4K
Forks6.0K
Amazon Quicksight
Amazon Quicksight
Stacks207
Followers394
Votes5
Cluvio
Cluvio
Stacks5
Followers21
Votes2

Amazon Quicksight vs Cluvio vs Metabase: What are the differences?

  1. Data Source Connections: Amazon Quicksight provides a wide range of data source connections including AWS services, on-premises databases, and SaaS applications. Cluvio focuses on direct integrations with databases like PostgreSQL, MySQL, and Redshift, offering less variety but stronger connectivity options. Metabase also supports multiple data sources, but users may need to use SQL queries to connect to some databases that are not directly integrated.

  2. Visualization Capabilities: Amazon Quicksight offers beautiful, interactive visuals with features like AutoGraph and ML Insights. Cluvio provides customizable dashboards and extensive charting options, but may lack advanced ML capabilities compared to Quicksight. Metabase offers basic chart types and customization options but may not be as visually appealing as the other two platforms.

  3. Scalability and Performance: Amazon Quicksight is tightly integrated with AWS, providing scalability and performance for large datasets and complex queries. Cluvio is suitable for medium-sized datasets and offers real-time analytics capabilities, but may not scale as seamlessly as Quicksight. Metabase may face performance issues with very large datasets and intensive queries due to its open-source nature.

  4. Cost Structure: Amazon Quicksight has a pay-per-session pricing model, which can be cost-effective for organizations with varying user numbers. Cluvio offers pricing based on active users and storage, making it suitable for teams with consistent usage patterns. Metabase is free to use, which is ideal for small organizations or projects with budget constraints.

  5. Collaboration and Sharing Features: Amazon Quicksight allows sharing and collaboration within the platform and also integrates with other AWS services for seamless teamwork. Cluvio offers collaboration features like sharing dashboards and reports with team members, but may not have the same level of integration with external tools. Metabase supports sharing and embedding dashboards but may lack advanced collaboration features compared to the other two platforms.

  6. Ease of Use and Learning Curve: Amazon Quicksight has a user-friendly interface with drag-and-drop functionality, making it easy for non-technical users to create visualizations. Cluvio offers a straightforward interface for creating queries and dashboards, but users may need some SQL knowledge for advanced features. Metabase has a simple setup process and interface, but users may face a steeper learning curve when customizing dashboards or using more complex features.

In Summary, Amazon Quicksight, Cluvio, and Metabase offer distinct features and functionalities in terms of data source connections, visualization capabilities, scalability, cost structure, collaboration features, and ease of use.

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Detailed Comparison

Metabase
Metabase
Amazon Quicksight
Amazon Quicksight
Cluvio
Cluvio

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.

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.

Cluvio lets you run SQL queries against your database, visualize the results and create beautiful, interactive dashboards in minutes.

-
Pay-per-session pricing; Deliver rich, interactive dashboards for your readers; Explore, analyze, collaborate; SPICE (super-fast, parallel, in-memory, calculation engine); ML Insights
Full-featured SQL Editor with code completion, formatting, syntax coloring;Full-featured R Editor with code completion and syntax coloring;Database Almanac that gives fast and easy access to database structure (tables/columns) and let's the user quickly explore data;Wide selection of chart types;Powerful sharing features;Free unlimited viewer accounts;Embedded analytics;On premise installations available with Cluvio OnPremise
Statistics
GitHub Stars
44.4K
GitHub Stars
-
GitHub Stars
-
GitHub Forks
6.0K
GitHub Forks
-
GitHub Forks
-
Stacks
928
Stacks
207
Stacks
5
Followers
1.2K
Followers
394
Followers
21
Votes
271
Votes
5
Votes
2
Pros & Cons
Pros
  • 62
    Database visualisation
  • 45
    Open Source
  • 41
    Easy setup
  • 36
    Dashboard out of the box
  • 23
    Free
Cons
  • 7
    Harder to setup than similar tools
Pros
  • 1
    Dataset versionning
  • 1
    Super cheap
  • 1
    Better integration with aws
  • 1
    More features (table calculations, functions, insights)
  • 1
    Good integration with aws Glue ETL services
Cons
  • 1
    Very basic BI tool
  • 1
    Only works in AWS environments (not GCP, Azure)
Pros
  • 1
    Fast to create dashboards
  • 1
    Dashboard sharing features
Integrations
PostgreSQL
PostgreSQL
MongoDB
MongoDB
Amazon Redshift
Amazon Redshift
MySQL
MySQL
Microsoft SQL Server
Microsoft SQL Server
Amazon RDS
Amazon RDS
Amazon S3
Amazon S3
Amazon Aurora
Amazon Aurora
Amazon Redshift
Amazon Redshift
Amazon RDS
Amazon RDS
Google BigQuery
Google BigQuery
MariaDB
MariaDB
Amazon Aurora
Amazon Aurora
Microsoft SQL Server
Microsoft SQL Server
Google Cloud SQL
Google Cloud SQL
Amazon Redshift
Amazon Redshift
Azure Database for PostgreSQL
Azure Database for PostgreSQL
MySQL
MySQL
Azure Database for MySQL
Azure Database for MySQL

What are some alternatives to Metabase, Amazon Quicksight, Cluvio?

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.

Periscope

Periscope

Periscope is a data analysis tool that uses pre-emptive in-memory caching and statistical sampling to run data analyses really, really fast.

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