Alternatives to Data Studio logo

Alternatives to Data Studio

Metabase, Amazon Quicksight, Klipfolio, Google Analytics, and AzureDataStudio are the most popular alternatives and competitors to Data Studio.
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What is Data Studio and what are its top alternatives?

Unlock the power of your data with interactive dashboards and engaging reports that inspire smarter business decisions. It’s easy and free.
Data Studio is a tool in the Business Intelligence category of a tech stack.

Top Alternatives to Data Studio

  • 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. ...

  • Amazon Quicksight

    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. ...

  • Klipfolio

    Klipfolio

    You can pull your data together using out-of-the-box, hassle-free connectors for hundreds of data sources, including spreadsheets, files, databases, and web services applications. ...

  • Google Analytics

    Google Analytics

    Google Analytics lets you measure your advertising ROI as well as track your Flash, video, and social networking sites and applications. ...

  • AzureDataStudio

    AzureDataStudio

    It is a cross-platform database tool for data professionals using the Microsoft family of on-premises and cloud data platforms on Windows, MacOS, and Linux. ...

  • Tableau

    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. ...

  • 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. ...

  • Looker

    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. ...

Data Studio alternatives & related posts

Metabase logo

Metabase

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An open-source business intelligence tool
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PROS OF METABASE
  • 54
    Database visualisation
  • 41
    Open Source
  • 39
    Easy setup
  • 33
    Dashboard out of the box
  • 18
    Free
  • 12
    Simple
  • 8
    Support for many dbs
  • 7
    Easy embedding
  • 6
    It's good
  • 6
    Easy
  • 5
    AGPL : wont help with adoption but depends on your goal
  • 5
    BI doesn't get easier than that
  • 4
    Multiple integrations
  • 4
    Google analytics integration
  • 3
    Easy set up
CONS OF METABASE
  • 3
    Harder to setup than similar tools

related Metabase posts

Amazon Quicksight logo

Amazon Quicksight

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Fast, easy to use business analytics at 1/10th the cost of traditional BI solutions
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PROS OF AMAZON QUICKSIGHT
  • 1
    Super cheap
CONS OF AMAZON QUICKSIGHT
  • 1
    Only works in AWS environments (not GCP, Azure)

related Amazon Quicksight posts

Julien DeFrance
Principal Software Engineer at Tophatter · | 16 upvotes · 2.4M views

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.

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Klipfolio logo

Klipfolio

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An online dashboard platform for building real-time business dashboards
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PROS OF KLIPFOLIO
    Be the first to leave a pro
    CONS OF KLIPFOLIO
      Be the first to leave a con

      related Klipfolio posts

      Google Analytics logo

      Google Analytics

      112.2K
      36.6K
      5K
      Enterprise-class web analytics.
      112.2K
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      5K
      PROS OF GOOGLE ANALYTICS
      • 1.5K
        Free
      • 925
        Easy setup
      • 888
        Data visualization
      • 696
        Real-time stats
      • 403
        Comprehensive feature set
      • 180
        Goals tracking
      • 154
        Powerful funnel conversion reporting
      • 137
        Customizable reports
      • 83
        Custom events try
      • 53
        Elastic api
      • 13
        Updated regulary
      • 8
        Interactive Documentation
      • 3
        Google play
      • 2
        Advanced ecommerce
      • 2
        Industry Standard
      • 2
        Walkman music video playlist
      • 1
        Medium / Channel data split
      • 1
        Financial Management Challenges -2015h
      • 1
        Lifesaver
      • 1
        Easy to integrate
      CONS OF GOOGLE ANALYTICS
      • 9
        Confusing UX/UI
      • 6
        Super complex
      • 5
        Very hard to build out funnels
      • 3
        Poor web performance metrics
      • 2
        Very easy to confuse the user of the analytics
      • 2
        Time spent on page isn't accurate out of the box

      related Google Analytics posts

      Tassanai Singprom

      This is my stack in Application & Data

      JavaScript PHP HTML5 jQuery Redis Amazon EC2 Ubuntu Sass Vue.js Firebase Laravel Lumen Amazon RDS GraphQL MariaDB

      My Utilities Tools

      Google Analytics Postman Elasticsearch

      My Devops Tools

      Git GitHub GitLab npm Visual Studio Code Kibana Sentry BrowserStack

      My Business Tools

      Slack

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      Max Musing
      Founder & CEO at BaseDash · | 8 upvotes · 125.5K views

      Functionally, Amplitude and Mixpanel are incredibly similar. They both offer almost all the same functionality around tracking and visualizing user actions for analytics. You can track A/B test results in both. We ended up going with Amplitude at BaseDash because it has a more generous free tier for our uses (10 million actions per month, versus Mixpanel's 1000 monthly tracked users).

      Segment isn't meant to compete with these tools, but instead acts as an API to send actions to them, and other analytics tools. If you're just sending event data to one of these tools, you probably don't need Segment. If you're using other analytics tools like Google Analytics and FullStory, Segment makes it easy to send events to all your tools at once.

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      AzureDataStudio logo

      AzureDataStudio

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      A cross-platform database tool for data professionals
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      PROS OF AZUREDATASTUDIO
        Be the first to leave a pro
        CONS OF AZUREDATASTUDIO
          Be the first to leave a con

          related AzureDataStudio posts

          Manikandan Shanmugam
          Software Engineer at Blitzscaletech Software Solution · | 4 upvotes · 188.5K views
          Shared insights
          on
          AzureDataStudioAzureDataStudioDBeaverDBeaver

          Which tools are preferred if I choose to work on more data side? Which one is good if I decide to work on web development? I'm using DBeaver and am now considering a move to AzureDataStudio to break the monotony while working. I would like to hear your opinion. Which one are you using, and what are the things you are missing in dbeaver or data studio.

          See more
          Tableau logo

          Tableau

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          Tableau helps people see and understand data.
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          PROS OF TABLEAU
          • 3
            Capable of visualising billions of rows
          • 1
            Responsive
          CONS OF TABLEAU
            Be the first to leave a con

            related Tableau posts

            Looking for the best analytics software for a medium-large-sized firm. We currently use a Microsoft SQL Server database that is analyzed in Tableau desktop/published to Tableau online for users to access dashboards. Is it worth the cost savings/time to switch over to using SSRS or Power BI? Does anyone have experience migrating from Tableau to SSRS /or Power BI? Our other option is to consider using Tableau on-premises instead of online. Using custom SQL with over 3 million rows really decreases performances and results in processing times that greatly exceed our typical experience. Thanks.

            See more
            Power BI logo

            Power BI

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            Empower team members to discover insights hidden in your data
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            PROS OF POWER BI
            • 7
              Cross-filtering
            CONS OF POWER BI
              Be the first to leave a con

              related Power BI posts

              Looking for the best analytics software for a medium-large-sized firm. We currently use a Microsoft SQL Server database that is analyzed in Tableau desktop/published to Tableau online for users to access dashboards. Is it worth the cost savings/time to switch over to using SSRS or Power BI? Does anyone have experience migrating from Tableau to SSRS /or Power BI? Our other option is to consider using Tableau on-premises instead of online. Using custom SQL with over 3 million rows really decreases performances and results in processing times that greatly exceed our typical experience. Thanks.

              See more
              Looker logo

              Looker

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              Pioneering the next generation of BI, data discovery & data analytics
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              PROS OF LOOKER
              • 4
                Real time in app customer chat support
              • 4
                GitHub integration
              • 1
                Reduces the barrier of entry to utilizing data
              CONS OF LOOKER
              • 1
                Price

              related Looker posts

              Mohan Ramanujam

              We are a consumer mobile app IOS/Android startup. The app is instrumented with branch and Firebase. We use Google BigQuery. We are looking at tools that can support engagement and cohort analysis at an early stage price which we can grow with. Data Studio is the default but it would seem Looker provides more power. We don't have much insight into Amplitude other than the fact it is a popular PM tool. Please provide some insight.

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