Alternatives to Cluvio logo

Alternatives to Cluvio

Tableau, Power BI, Metabase, Metabase, and Looker are the most popular alternatives and competitors to Cluvio.
5
14
+ 1
2

What is Cluvio and what are its top alternatives?

Cluvio lets you run SQL queries against your database, visualize the results and create beautiful, interactive dashboards in minutes.
Cluvio is a tool in the Business Intelligence category of a tech stack.

Top Alternatives to Cluvio

  • 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. ...

  • 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. ...

  • 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. ...

  • 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

    Data Studio

    Unlock the power of your data with interactive dashboards and engaging reports that inspire smarter business decisions. It’s easy and free. ...

  • 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. ...

  • 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. ...

Cluvio alternatives & related posts

Tableau logo

Tableau

912
950
4
Tableau helps people see and understand data.
912
950
+ 1
4
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

    545
    525
    7
    Empower team members to discover insights hidden in your data
    545
    525
    + 1
    7
    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
      Metabase logo

      Metabase

      656
      938
      245
      An open-source business intelligence tool
      656
      938
      + 1
      245
      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

      Metabase logo

      Metabase

      656
      938
      245
      An open-source business intelligence tool
      656
      938
      + 1
      245
      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

      Looker logo

      Looker

      408
      454
      9
      Pioneering the next generation of BI, data discovery & data analytics
      408
      454
      + 1
      9
      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.

      See more
      Data Studio logo

      Data Studio

      302
      253
      0
      Your data is powerful. Use it
      302
      253
      + 1
      0
      PROS OF DATA STUDIO
        Be the first to leave a pro
        CONS OF DATA STUDIO
          Be the first to leave a con

          related Data Studio 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.

          See more
          Redash logo

          Redash

          284
          388
          8
          Easily query an existing database, share the dataset and visualize it in different ways
          284
          388
          + 1
          8
          PROS OF REDASH
          • 5
            Open Source
          • 3
            SQL Friendly
          CONS OF REDASH
          • 1
            All results are loaded into RAM before displaying
          • 1
            Memory Leaks

          related Redash posts

          Superset logo

          Superset

          277
          711
          32
          Data exploration and visualization platform, by Airbnb
          277
          711
          + 1
          32
          PROS OF SUPERSET
          • 9
            Awesome interactive filtering
          • 6
            Wide SQL database support
          • 5
            Free
          • 5
            Shareable & editable dashboards
          • 3
            Easy to share charts & dasboards
          • 2
            User & Role Management
          • 2
            Great for data collaborating on data exploration
          CONS OF SUPERSET
          • 3
            Ugly GUI
          • 2
            It is difficult to install on the server
          • 2
            Link diff db together "Data Modeling "

          related Superset 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.

          See more