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Looker

468
510
+ 1
9
SAS

58
65
+ 1
0
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Looker vs SAS: What are the differences?

Looker: Pioneering the next generation of BI, data discovery & data analytics. 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; SAS: A command-driven software package used for statistical analysis and data visualization. It is a command-driven software package used for statistical analysis and data visualization. It is available only for Windows operating systems. It is arguably one of the most widely used statistical software packages in both industry and academia.

Looker and SAS can be primarily classified as "Business Intelligence" tools.

Some of the features offered by Looker are:

  • Zero-lag access to data
  • No limits
  • Personalized setup and support

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

  • Analyses
  • Reporting
  • Data mining
Decisions about Looker and SAS

Very easy-to-use UI. Good way to make data available inside the company for analysis.

Has some built-in visualizations and can be easily integrated with other JS visualization libraries such as D3.

Can be embedded into product to provide reporting functions.

Support team are helpful.

The only complain I have is lack of API support. Hard to track changes as codes and automate report deployment.

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Vojtech Kopal
Head of Data at Mews Systems | 3 upvotes 路 201.5K views

Power BI is really easy to start with. If you have just several Excel sheets or CSV files, or you build your first automated pipeline, it is actually quite intuitive to build your first reports.

And as we have kept growing, all the additional features and tools were just there within the Azure platform and/or Office 365.

Since we started building Mews, we have already passed several milestones in becoming start up, later also a scale up company and now getting ready to grow even further, and during all these phases Power BI was just the right tool for us.

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Pros of Looker
Pros of SAS
  • 4
    Real time in app customer chat support
  • 4
    GitHub integration
  • 1
    Reduces the barrier of entry to utilizing data
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    Cons of Looker
    Cons of SAS
    • 2
      Price
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      What is 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.

      What is SAS?

      It is a command-driven software package used for statistical analysis and data visualization. It is available only for Windows operating systems. It is arguably one of the most widely used statistical software packages in both industry and academia.

      Need advice about which tool to choose?Ask the StackShare community!

      Jobs that mention Looker and SAS as a desired skillset
      CBRE
      - US - United States of America, Seattle - Washington - United States of America
      CBRE
      - US - United States of America, Seattle - Washington - United States of America
      What companies use Looker?
      What companies use SAS?
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      What tools integrate with Looker?
      What tools integrate with SAS?
        No integrations found

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        What are some alternatives to Looker and SAS?
        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.
        Superset
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        Periscope
        Periscope is a data analysis tool that uses pre-emptive in-memory caching and statistical sampling to run data analyses really, really fast.
        Chartio
        Chartio is a cloud-based business analytics solution on a mission to enable everyone within an organization to access, explore, transform and visualize their data.
        Mode
        Created by analysts, for analysts, Mode is a SQL-based analytics tool that connects directly to your database. Mode is designed to alleviate the bottlenecks in today's analytical workflow and drive collaboration around data projects.
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