Alternatives to Looker logo

Alternatives to Looker

Tableau, Superset, Periscope, Chartio, and Mode are the most popular alternatives and competitors to Looker.
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What is Looker and what are its top alternatives?

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.
Looker is a tool in the Business Intelligence category of a tech stack.

Top Alternatives to Looker

  • 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. ...

  • 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. ...

  • 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. ...

  • Chartio
    Chartio

    Chartio is a cloud-based business analytics solution on a mission to enable everyone within an organization to access, explore, transform and visualize their data. ...

  • 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. ...

  • DOMO
    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. ...

  • 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. ...

  • Sisense
    Sisense

    It is making business intelligence (BI) analytics easy with its simple drag-and-drop and scalable end-to-end BI processes that help to prepare, analyze, and visualize multiple complex datasets quickly. ...

Looker alternatives & related posts

Tableau logo

Tableau

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Tableau helps people see and understand data.
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PROS OF TABLEAU
  • 5
    Capable of visualising billions of rows
  • 1
    Intuitive and easy to learn
  • 1
    Responsive
CONS OF TABLEAU
  • 1
    Very expensive for small companies

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
Superset logo

Superset

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Data exploration and visualization platform, by Airbnb
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PROS OF SUPERSET
  • 10
    Awesome interactive filtering
  • 6
    Wide SQL database support
  • 6
    Free
  • 6
    Shareable & editable dashboards
  • 5
    Great for data collaborating on data exploration
  • 3
    User & Role Management
  • 3
    Easy to share charts & dasboards
CONS OF SUPERSET
  • 3
    It is difficult to install on the server
  • 3
    Ugly GUI
  • 3
    Link diff db together "Data Modeling "

related Superset posts

Julien DeFrance
Principal Software Engineer at Tophatter · | 16 upvotes · 2.6M 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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Periscope logo

Periscope

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Periscope plugs directly into your database and lets you run, save and share analyses over billions of data...
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PROS OF PERISCOPE
  • 6
    Great for learning and teaching people SQL
  • 4
    Gorgeous "share-able" and "embeddable" dashboards
CONS OF PERISCOPE
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    related Periscope posts

    Chartio logo

    Chartio

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    6
    A powerful Business Intelligence tool anyone can use
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    PROS OF CHARTIO
    • 2
      Great UI
    • 2
      Affordable for a BI solution
    • 2
      Join multiple databases
    CONS OF CHARTIO
      Be the first to leave a con

      related Chartio posts

      Mode logo

      Mode

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      SQL-based analytics tool that helps analysts query, visualize, and share data.
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      PROS OF MODE
      • 4
        Empowering for SQL-first analysts
      • 3
        Easy report building
      • 3
        Collaborative query building
      • 2
        In-app customer chat support
      • 2
        Awesome online and chat support
      • 2
        Integrated IDE with SQL + Python for analysis
      • 1
        Auto SQL query to Python dataframe
      CONS OF MODE
        Be the first to leave a con

        related Mode posts

        DOMO logo

        DOMO

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        Domo optimizes your business by connecting you to the data, people, and expertise you need to improve business...
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        PROS OF DOMO
          Be the first to leave a pro
          CONS OF DOMO
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            related DOMO posts

            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
            • 15
              Cross-filtering
            • 2
              Database visualisation
            • 1
              Intuitive and complete internal ETL
            • 1
              Access from anywhere
            • 1
              Azure Based Service
            • 1
              Powerful Calculation Engine
            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
              Sisense logo

              Sisense

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              Simple drag-and-drop and scalable end-to-end BI processes
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              PROS OF SISENSE
                Be the first to leave a pro
                CONS OF SISENSE
                  Be the first to leave a con

                  related Sisense posts