Amazon Quicksight vs Metabase vs Mode

Get Advice Icon

Need advice about which tool to choose?Ask the StackShare community!

Amazon Quicksight
Amazon Quicksight

39
45
+ 1
1
Metabase
Metabase

270
234
+ 1
146
Mode
Mode

64
52
+ 1
11
- No public GitHub repository available -
- No public GitHub repository available -

What is Amazon Quicksight?

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.

What is Metabase?

Metabase 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.

What is 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.
Get Advice Icon

Need advice about which tool to choose?Ask the StackShare community!

Why do developers choose Amazon Quicksight?
Why do developers choose Metabase?
Why do developers choose Mode?

Sign up to add, upvote and see more prosMake informed product decisions

    Be the first to leave a con
      Be the first to leave a con
      Jobs that mention Amazon Quicksight, Metabase, and Mode as a desired skillset
      What companies use Amazon Quicksight?
      What companies use Metabase?
      What companies use Mode?

      Sign up to get full access to all the companiesMake informed product decisions

      What tools integrate with Amazon Quicksight?
      What tools integrate with Metabase?
      What tools integrate with Mode?

      Sign up to get full access to all the tool integrationsMake informed product decisions

      What are some alternatives to Amazon Quicksight, Metabase, and Mode?
      Tableau
      Tableau can help anyone see and understand their data. Connect to almost any database, drag and drop to create visualizations, and share with a click.
      DOMO
      Domo: business intelligence, data visualization, dashboards and reporting all together. Simplify your big data and improve your business with Domo's agile and mobile-ready platform.
      Looker
      We've built a unique data modeling language, connections to today's fastest analytical databases, and a service that you can deploy on any infrastructure, and explore on any device. Plus, we'll help you every step of the way.
      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.
      Amazon Athena
      Amazon Athena is an interactive query service that makes it easy to analyze data in Amazon S3 using standard SQL. Athena is serverless, so there is no infrastructure to manage, and you pay only for the queries that you run.
      See all alternatives
      Decisions about Amazon Quicksight, Metabase, and Mode
      Julien DeFrance
      Julien DeFrance
      Principal Software Engineer at Tophatter · | 16 upvotes · 501.5K views
      atSmartZipSmartZip
      Rails
      Rails
      Rails API
      Rails API
      AWS Elastic Beanstalk
      AWS Elastic Beanstalk
      Capistrano
      Capistrano
      Docker
      Docker
      Amazon S3
      Amazon S3
      Amazon RDS
      Amazon RDS
      MySQL
      MySQL
      Amazon RDS for Aurora
      Amazon RDS for Aurora
      Amazon ElastiCache
      Amazon ElastiCache
      Memcached
      Memcached
      Amazon CloudFront
      Amazon CloudFront
      Segment
      Segment
      Zapier
      Zapier
      Amazon Redshift
      Amazon Redshift
      Amazon Quicksight
      Amazon Quicksight
      Superset
      Superset
      Elasticsearch
      Elasticsearch
      Amazon Elasticsearch Service
      Amazon Elasticsearch Service
      New Relic
      New Relic
      AWS Lambda
      AWS Lambda
      Node.js
      Node.js
      Ruby
      Ruby
      Amazon DynamoDB
      Amazon DynamoDB
      Algolia
      Algolia

      Back in 2014, I was given an opportunity to re-architect SmartZip Analytics platform, and flagship product: SmartTargeting. This is a SaaS software helping real estate professionals keeping up with their prospects and leads in a given neighborhood/territory, finding out (thanks to predictive analytics) who's the most likely to list/sell their home, and running cross-channel marketing automation against them: direct mail, online ads, email... The company also does provide Data APIs to Enterprise customers.

      I had inherited years and years of technical debt and I knew things had to change radically. The first enabler to this was to make use of the cloud and go with AWS, so we would stop re-inventing the wheel, and build around managed/scalable services.

      For the SaaS product, we kept on working with Rails as this was what my team had the most knowledge in. We've however broken up the monolith and decoupled the front-end application from the backend thanks to the use of Rails API so we'd get independently scalable micro-services from now on.

      Our various applications could now be deployed using AWS Elastic Beanstalk so we wouldn't waste any more efforts writing time-consuming Capistrano deployment scripts for instance. Combined with Docker so our application would run within its own container, independently from the underlying host configuration.

      Storage-wise, we went with Amazon S3 and ditched any pre-existing local or network storage people used to deal with in our legacy systems. On the database side: Amazon RDS / MySQL initially. Ultimately migrated to Amazon RDS for Aurora / MySQL when it got released. Once again, here you need a managed service your cloud provider handles for you.

      Future improvements / technology decisions included:

      Caching: Amazon ElastiCache / Memcached CDN: Amazon CloudFront Systems Integration: Segment / Zapier Data-warehousing: Amazon Redshift BI: Amazon Quicksight / Superset Search: Elasticsearch / Amazon Elasticsearch Service / Algolia Monitoring: New Relic

      As our usage grows, patterns changed, and/or our business needs evolved, my role as Engineering Manager then Director of Engineering was also to ensure my team kept on learning and innovating, while delivering on business value.

      One of these innovations was to get ourselves into Serverless : Adopting AWS Lambda was a big step forward. At the time, only available for Node.js (Not Ruby ) but a great way to handle cost efficiency, unpredictable traffic, sudden bursts of traffic... Ultimately you want the whole chain of services involved in a call to be serverless, and that's when we've started leveraging Amazon DynamoDB on these projects so they'd be fully scalable.

      See more
      Interest over time
      Reviews of Amazon Quicksight, Metabase, and Mode
      No reviews found
      How developers use Amazon Quicksight, Metabase, and Mode
      Avatar of Coolfront Technologies
      Coolfront Technologies uses MetabaseMetabase

      Used to run internal reports and analytics on Coolfront Mobile data.

      How much does Amazon Quicksight cost?
      How much does Metabase cost?
      How much does Mode cost?
      Pricing unavailable
      Pricing unavailable
      News about Amazon Quicksight
      More news
      News about Metabase
      More news
      News about Mode
      More news