Alternatives to Birst logo

Alternatives to Birst

Tableau, Looker, QlikView, Power BI, and Sisense are the most popular alternatives and competitors to Birst.
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What is Birst and what are its top alternatives?

Automated, comprehensive and user-friendly business intelligence tools for company-wide collaboration on the data that matters most.
Birst is a tool in the Business Intelligence category of a tech stack.
Birst is an open source tool with GitHub stars and GitHub forks. Here鈥檚 a link to Birst's open source repository on GitHub

Birst alternatives & related posts

Tableau logo

Tableau

218
108
0
218
108
+ 1
0
Tableau helps people see and understand data.
    Be the first to leave a pro
    Tableau logo
    Tableau
    VS
    Birst logo
    Birst
    Looker logo

    Looker

    160
    106
    6
    160
    106
    + 1
    6
    Pioneering the next generation of BI, data discovery & data analytics
    Looker logo
    Looker
    VS
    Birst logo
    Birst
    QlikView logo

    QlikView

    16
    10
    0
    16
    10
    + 1
    0
    A Business Intelligence platform for turning data into knowledge
      Be the first to leave a pro
      QlikView logo
      QlikView
      VS
      Birst logo
      Birst
      Power BI logo

      Power BI

      52
      39
      0
      52
      39
      + 1
      0
      A business analytics service
        Be the first to leave a pro
        Power BI logo
        Power BI
        VS
        Birst logo
        Birst
        Sisense logo

        Sisense

        3
        3
        0
        3
        3
        + 1
        0
        Simple drag-and-drop and scalable end-to-end BI processes
          Be the first to leave a pro
          Sisense logo
          Sisense
          VS
          Birst logo
          Birst
          Data Studio logo

          Data Studio

          130
          97
          0
          130
          97
          + 1
          0
          Your data is powerful. Use it
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            Data Studio logo
            Data Studio
            VS
            Birst logo
            Birst
            Redash logo

            Redash

            125
            95
            1
            125
            95
            + 1
            1
            Easily query an existing database, share the dataset and visualize it in different ways
            Redash logo
            Redash
            VS
            Birst logo
            Birst

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            Node.js
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            AWS Lambda
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            New Relic
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            Amazon Elasticsearch Service
            Amazon Elasticsearch Service
            Elasticsearch
            Elasticsearch
            Superset
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            Amazon Quicksight
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            Amazon Redshift
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            Zapier
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            Segment
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            Amazon CloudFront
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            Memcached
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            Amazon ElastiCache
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            Amazon RDS for Aurora
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            MySQL
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            Amazon S3
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            Docker
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            Capistrano
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            AWS Elastic Beanstalk
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            Rails API
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            Rails
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            Algolia
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            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.

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            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.

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            Future improvements / technology decisions included:

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            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.

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            Chartio logo

            Chartio

            44
            30
            6
            44
            30
            + 1
            6
            A powerful Business Intelligence tool anyone can use
            Chartio logo
            Chartio
            VS
            Birst logo
            Birst
            Periscope logo

            Periscope

            41
            43
            9
            41
            43
            + 1
            9
            Periscope plugs directly into your database and lets you run, save and share analyses over billions of data...
            Periscope logo
            Periscope
            VS
            Birst logo
            Birst
            Amazon Quicksight logo

            Amazon Quicksight

            39
            44
            1
            39
            44
            + 1
            1
            Fast, easy to use business analytics at 1/10th the cost of traditional BI solutions
            Amazon Quicksight logo
            Amazon Quicksight
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            Birst logo
            Birst

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            Amazon DynamoDB
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            Ruby
            Ruby
            Node.js
            Node.js
            AWS Lambda
            AWS Lambda
            New Relic
            New Relic
            Amazon Elasticsearch Service
            Amazon Elasticsearch Service
            Elasticsearch
            Elasticsearch
            Superset
            Superset
            Amazon Quicksight
            Amazon Quicksight
            Amazon Redshift
            Amazon Redshift
            Zapier
            Zapier
            Segment
            Segment
            Amazon CloudFront
            Amazon CloudFront
            Memcached
            Memcached
            Amazon ElastiCache
            Amazon ElastiCache
            Amazon RDS for Aurora
            Amazon RDS for Aurora
            MySQL
            MySQL
            Amazon RDS
            Amazon RDS
            Amazon S3
            Amazon S3
            Docker
            Docker
            Capistrano
            Capistrano
            AWS Elastic Beanstalk
            AWS Elastic Beanstalk
            Rails API
            Rails API
            Rails
            Rails
            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.

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            Shiny logo

            Shiny

            34
            18
            0
            34
            18
            + 1
            0
            An R package that makes it easy to build interactive web apps
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              Shiny logo
              Shiny
              VS
              Birst logo
              Birst
              Microsoft SSRS logo

              Microsoft SSRS

              29
              18
              0
              29
              18
              + 1
              0
              A server-based report generating software system
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                Microsoft SSRS logo
                Microsoft SSRS
                VS
                Birst logo
                Birst
                Google Datastudio logo

                Google Datastudio

                26
                16
                2
                26
                16
                + 1
                2
                A reporting and data visualization tool
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                Google Datastudio
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                Birst logo
                Birst
                Qlik Sense logo

                Qlik Sense

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                5
                0
                18
                5
                + 1
                0
                A business intelligence and visual analytics platform
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                  Qlik Sense logo
                  Qlik Sense
                  VS
                  Birst logo
                  Birst
                  GoodData logo

                  GoodData

                  17
                  18
                  0
                  17
                  18
                  + 1
                  0
                  We help businesses monetize big data.
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                    GoodData logo
                    GoodData
                    VS
                    Birst logo
                    Birst
                    Cube.js logo

                    Cube.js

                    14
                    21
                    13
                    14
                    21
                    + 1
                    13
                    Open Source Analytics Framework
                    Cube.js logo
                    Cube.js
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                    Birst logo
                    Birst
                    Power BI Embedded logo

                    Power BI Embedded

                    12
                    8
                    0
                    12
                    8
                    + 1
                    0
                    Embedded BI reporting engine for your application
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                      Power BI Embedded logo
                      Power BI Embedded
                      VS
                      Birst logo
                      Birst