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AtScale

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Redash

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Redash vs AtScale: What are the differences?

What is 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.

What is AtScale? The virtual data warehouse for the modern enterprise. Its Virtual Data Warehouse delivers performance, security and agility to exceed the demands of modern-day operational analytics.

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

Some of the features offered by Redash are:

  • Query Editor
  • Dashboards/Visualizations
  • Alerts

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

  • Multiple SQL-on-Hadoop Engine Support
  • Access Data Where it Lays
  • Built-in Support for Complex Data Types

Redash is an open source tool with 13.7K GitHub stars and 2.3K GitHub forks. Here's a link to Redash's open source repository on GitHub.

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Pros of AtScale
Pros of Redash
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    • 9
      Open Source
    • 3
      SQL Friendly

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    Cons of AtScale
    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 AtScale?

      Its Virtual Data Warehouse delivers performance, security and agility to exceed the demands of modern-day operational analytics.

      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 tools integrate with AtScale?
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      Blog Posts

      What are some alternatives to AtScale and Redash?
      Denodo
      It is the leader in data virtualization providing data access, data governance and data delivery capabilities across the broadest range of enterprise, cloud, big data, and unstructured data sources without moving the data from their original repositories.
      Apache Impala
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      Druid
      Druid is a distributed, column-oriented, real-time analytics data store that is commonly used to power exploratory dashboards in multi-tenant environments. Druid excels as a data warehousing solution for fast aggregate queries on petabyte sized data sets. Druid supports a variety of flexible filters, exact calculations, approximate algorithms, and other useful calculations.
      Snowflake
      Snowflake eliminates the administration and management demands of traditional data warehouses and big data platforms. Snowflake is a true data warehouse as a service running on Amazon Web Services (AWS)—no infrastructure to manage and no knobs to turn.
      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.
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