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Dataform

52
37
+ 1
0
FnordMetric

4
15
+ 1
0
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Dataform vs FnordMetric: What are the differences?

Developers describe Dataform as "A framework for managing SQL based data operations *". It helps you manage all data processes in your cloud data warehouse. Publish tables, write data tests and automate complex SQL workflows in a few minutes, so you can spend more time on analytics and less time managing infrastructure. On the other hand, *FnordMetric** is detailed as "Create charts and dashboards from SQL". FnordMetric allows you to write SQL queries that return SVG charts rather than tables. Turning a query result into a chart is literally one line of code. FnordMetric allows you collect and visualize timeseries data using only SQL. It enables you to build beautiful real-time analytics dashboards within minutes.

Dataform can be classified as a tool in the "Database Tools" category, while FnordMetric is grouped under "Business Intelligence".

Some of the features offered by Dataform are:

  • Version ontrol
  • Scheduling
  • Notifications and logging

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

  • Line Charts
  • Area Charts
  • Bar Charts

Dataform and FnordMetric are both open source tools. FnordMetric with 4.91K GitHub stars and 397 forks on GitHub appears to be more popular than Dataform with 77 GitHub stars and 7 GitHub forks.

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What is Dataform?

Dataform helps you manage all data processes in your cloud data warehouse. Publish tables, write data tests and automate complex SQL workflows in a few minutes, so you can spend more time on analytics and less time managing infrastructure.

What is FnordMetric?

FnordMetric allows you to write SQL queries that return SVG charts rather than tables. Turning a query result into a chart is literally one line of code. FnordMetric allows you collect and visualize timeseries data using only SQL. It enables you to build beautiful real-time analytics dashboards within minutes.

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      What are some alternatives to Dataform and FnordMetric?
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      NumPy
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      Pandas
      Flexible and powerful data analysis / manipulation library for Python, providing labeled data structures similar to R data.frame objects, statistical functions, and much more.
      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.
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