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Blazer

14
20
+ 1
0
Redash

284
388
+ 1
8
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Blazer vs Redash: What are the differences?

Blazer: Share data effortlessly with your team. Works with PostgreSQL and MySQL. Share data effortlessly with your team; Redash: Easily query an existing database, share the dataset and visualize it in different ways. 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.

Blazer and Redash can be primarily classified as "Business Intelligence" tools.

Some of the features offered by Blazer are:

  • Secure - works with your authentication system
  • Variables - run the same queries with different values
  • Linked Columns - link to other pages in your apps or around the web

On the other hand, Redash provides the following key features:

  • Query Editor
  • Dashboards/Visualizations
  • Alerts

Blazer and Redash are both open source tools. It seems that Redash with 13.1K GitHub stars and 2.17K forks on GitHub has more adoption than Blazer with 2.19K GitHub stars and 279 GitHub forks.

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Pros of Blazer
Pros of Redash
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    • 5
      Open Source
    • 3
      SQL Friendly

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    Cons of Blazer
    Cons of Redash
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      • 1
        All results are loaded into RAM before displaying
      • 1
        Memory Leaks

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      What is Blazer?

      Share data effortlessly with your team

      What is 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.

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      What companies use Blazer?
      What companies use Redash?
      See which teams inside your own company are using Blazer or Redash.
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      What tools integrate with Blazer?
      What tools integrate with Redash?

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      What are some alternatives to Blazer and Redash?
      Trailblazer
      Trailblazer is a thin layer on top of Rails. It gently enforces encapsulation, an intuitive code structure and gives you an object-oriented architecture. In a nutshell: Trailblazer makes you write logicless models that purely act as data objects, don't contain callbacks, nested attributes, validations or domain logic. It removes bulky controllers and strong_parameters by supplying additional layers to hold that code and completely replaces helpers.
      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.
      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
      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.
      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.
      See all alternatives