Alternatives to SAS logo

Alternatives to SAS

Python, Tableau, Metabase, Metabase, and Power BI are the most popular alternatives and competitors to SAS.
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What is SAS and what are its top alternatives?

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.
SAS is a tool in the Business Intelligence category of a tech stack.

Top Alternatives to SAS

  • Python

    Python

    Python is a general purpose programming language created by Guido Van Rossum. Python is most praised for its elegant syntax and readable code, if you are just beginning your programming career python suits you best. ...

  • Tableau

    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

    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

    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

    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. ...

  • Looker

    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. ...

  • Data Studio

    Data Studio

    Unlock the power of your data with interactive dashboards and engaging reports that inspire smarter business decisions. It’s easy and free. ...

  • Redash

    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. ...

SAS alternatives & related posts

Python logo

Python

155.7K
129.5K
6.5K
A clear and powerful object-oriented programming language, comparable to Perl, Ruby, Scheme, or Java.
155.7K
129.5K
+ 1
6.5K
PROS OF PYTHON
  • 1.1K
    Great libraries
  • 934
    Readable code
  • 826
    Beautiful code
  • 771
    Rapid development
  • 674
    Large community
  • 420
    Open source
  • 380
    Elegant
  • 270
    Great community
  • 262
    Object oriented
  • 209
    Dynamic typing
  • 71
    Great standard library
  • 53
    Very fast
  • 50
    Functional programming
  • 37
    Scientific computing
  • 36
    Easy to learn
  • 31
    Great documentation
  • 25
    Matlab alternative
  • 23
    Productivity
  • 23
    Easy to read
  • 20
    Simple is better than complex
  • 18
    It's the way I think
  • 17
    Imperative
  • 15
    Very programmer and non-programmer friendly
  • 15
    Free
  • 14
    Powerfull language
  • 14
    Powerful
  • 13
    Fast and simple
  • 12
    Scripting
  • 11
    Machine learning support
  • 9
    Explicit is better than implicit
  • 8
    Unlimited power
  • 8
    Ease of development
  • 8
    Clear and easy and powerfull
  • 7
    Import antigravity
  • 6
    It's lean and fun to code
  • 6
    Print "life is short, use python"
  • 5
    Great for tooling
  • 5
    Fast coding and good for competitions
  • 5
    There should be one-- and preferably only one --obvious
  • 5
    Python has great libraries for data processing
  • 5
    High Documented language
  • 5
    I love snakes
  • 5
    Although practicality beats purity
  • 5
    Flat is better than nested
  • 4
    Readability counts
  • 3
    Rapid Prototyping
  • 3
    Socially engaged community
  • 3
    Beautiful is better than ugly
  • 3
    CG industry needs
  • 3
    Great for analytics
  • 3
    Multiple Inheritence
  • 3
    Complex is better than complicated
  • 3
    Plotting
  • 3
    Now is better than never
  • 3
    Lists, tuples, dictionaries
  • 2
    List comprehensions
  • 2
    Web scraping
  • 2
    Many types of collections
  • 2
    Ys
  • 2
    Easy to setup and run smooth
  • 2
    Generators
  • 2
    Special cases aren't special enough to break the rules
  • 2
    If the implementation is hard to explain, it's a bad id
  • 2
    If the implementation is easy to explain, it may be a g
  • 2
    Simple and easy to learn
  • 2
    Import this
  • 2
    No cruft
  • 2
    Easy to learn and use
  • 1
    Better outcome
  • 1
    It is Very easy , simple and will you be love programmi
  • 1
    Powerful language for AI
  • 1
    Should START with this but not STICK with This
  • 1
    Flexible and easy
  • 1
    Batteries included
  • 1
    Good
  • 1
    A-to-Z
  • 1
    Only one way to do it
  • 1
    Because of Netflix
  • 1
    Pip install everything
  • 0
    Powerful
  • 0
    Pro
CONS OF PYTHON
  • 51
    Still divided between python 2 and python 3
  • 29
    Performance impact
  • 26
    Poor syntax for anonymous functions
  • 21
    GIL
  • 19
    Package management is a mess
  • 14
    Too imperative-oriented
  • 12
    Dynamic typing
  • 12
    Hard to understand
  • 10
    Very slow
  • 8
    Not everything is expression
  • 7
    Indentations matter a lot
  • 7
    Explicit self parameter in methods
  • 6
    No anonymous functions
  • 6
    Poor DSL capabilities
  • 6
    Incredibly slow
  • 6
    Requires C functions for dynamic modules
  • 5
    The "lisp style" whitespaces
  • 5
    Fake object-oriented programming
  • 5
    Hard to obfuscate
  • 5
    Threading
  • 4
    Circular import
  • 4
    The benevolent-dictator-for-life quit
  • 4
    Official documentation is unclear.
  • 4
    Lack of Syntax Sugar leads to "the pyramid of doom"
  • 4
    Not suitable for autocomplete
  • 2
    Meta classes
  • 1
    Training wheels (forced indentation)

related Python posts

Conor Myhrvold
Tech Brand Mgr, Office of CTO at Uber · | 39 upvotes · 4.4M views

How Uber developed the open source, end-to-end distributed tracing Jaeger , now a CNCF project:

Distributed tracing is quickly becoming a must-have component in the tools that organizations use to monitor their complex, microservice-based architectures. At Uber, our open source distributed tracing system Jaeger saw large-scale internal adoption throughout 2016, integrated into hundreds of microservices and now recording thousands of traces every second.

Here is the story of how we got here, from investigating off-the-shelf solutions like Zipkin, to why we switched from pull to push architecture, and how distributed tracing will continue to evolve:

https://eng.uber.com/distributed-tracing/

(GitHub Pages : https://www.jaegertracing.io/, GitHub: https://github.com/jaegertracing/jaeger)

Bindings/Operator: Python Java Node.js Go C++ Kubernetes JavaScript OpenShift C# Apache Spark

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Nick Parsons
Director of Developer Marketing at Stream · | 35 upvotes · 1.5M views

Winds 2.0 is an open source Podcast/RSS reader developed by Stream with a core goal to enable a wide range of developers to contribute.

We chose JavaScript because nearly every developer knows or can, at the very least, read JavaScript. With ES6 and Node.js v10.x.x, it’s become a very capable language. Async/Await is powerful and easy to use (Async/Await vs Promises). Babel allows us to experiment with next-generation JavaScript (features that are not in the official JavaScript spec yet). Yarn allows us to consistently install packages quickly (and is filled with tons of new tricks)

We’re using JavaScript for everything – both front and backend. Most of our team is experienced with Go and Python, so Node was not an obvious choice for this app.

Sure... there will be haters who refuse to acknowledge that there is anything remotely positive about JavaScript (there are even rants on Hacker News about Node.js); however, without writing completely in JavaScript, we would not have seen the results we did.

#FrameworksFullStack #Languages

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Tableau logo

Tableau

937
980
5
Tableau helps people see and understand data.
937
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+ 1
5
PROS OF TABLEAU
  • 4
    Capable of visualising billions of rows
  • 1
    Responsive
CONS OF TABLEAU
    Be the first to leave a con

    related Tableau posts

    Looking for the best analytics software for a medium-large-sized firm. We currently use a Microsoft SQL Server database that is analyzed in Tableau desktop/published to Tableau online for users to access dashboards. Is it worth the cost savings/time to switch over to using SSRS or Power BI? Does anyone have experience migrating from Tableau to SSRS /or Power BI? Our other option is to consider using Tableau on-premises instead of online. Using custom SQL with over 3 million rows really decreases performances and results in processing times that greatly exceed our typical experience. Thanks.

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    Metabase logo

    Metabase

    682
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    An open-source business intelligence tool
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    PROS OF METABASE
    • 54
      Database visualisation
    • 41
      Open Source
    • 39
      Easy setup
    • 34
      Dashboard out of the box
    • 19
      Free
    • 13
      Simple
    • 8
      Support for many dbs
    • 7
      Easy embedding
    • 6
      Easy
    • 6
      It's good
    • 5
      AGPL : wont help with adoption but depends on your goal
    • 5
      BI doesn't get easier than that
    • 4
      Multiple integrations
    • 4
      Google analytics integration
    • 3
      Easy set up
    CONS OF METABASE
    • 5
      Harder to setup than similar tools

    related Metabase posts

    Metabase logo

    Metabase

    682
    977
    248
    An open-source business intelligence tool
    682
    977
    + 1
    248
    PROS OF METABASE
    • 54
      Database visualisation
    • 41
      Open Source
    • 39
      Easy setup
    • 34
      Dashboard out of the box
    • 19
      Free
    • 13
      Simple
    • 8
      Support for many dbs
    • 7
      Easy embedding
    • 6
      Easy
    • 6
      It's good
    • 5
      AGPL : wont help with adoption but depends on your goal
    • 5
      BI doesn't get easier than that
    • 4
      Multiple integrations
    • 4
      Google analytics integration
    • 3
      Easy set up
    CONS OF METABASE
    • 5
      Harder to setup than similar tools

    related Metabase posts

    Power BI logo

    Power BI

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    563
    8
    Empower team members to discover insights hidden in your data
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    + 1
    8
    PROS OF POWER BI
    • 8
      Cross-filtering
    CONS OF POWER BI
      Be the first to leave a con

      related Power BI posts

      Looking for the best analytics software for a medium-large-sized firm. We currently use a Microsoft SQL Server database that is analyzed in Tableau desktop/published to Tableau online for users to access dashboards. Is it worth the cost savings/time to switch over to using SSRS or Power BI? Does anyone have experience migrating from Tableau to SSRS /or Power BI? Our other option is to consider using Tableau on-premises instead of online. Using custom SQL with over 3 million rows really decreases performances and results in processing times that greatly exceed our typical experience. Thanks.

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      Looker logo

      Looker

      417
      468
      9
      Pioneering the next generation of BI, data discovery & data analytics
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      468
      + 1
      9
      PROS OF LOOKER
      • 4
        Real time in app customer chat support
      • 4
        GitHub integration
      • 1
        Reduces the barrier of entry to utilizing data
      CONS OF LOOKER
      • 1
        Price

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      Mohan Ramanujam

      We are a consumer mobile app IOS/Android startup. The app is instrumented with branch and Firebase. We use Google BigQuery. We are looking at tools that can support engagement and cohort analysis at an early stage price which we can grow with. Data Studio is the default but it would seem Looker provides more power. We don't have much insight into Amplitude other than the fact it is a popular PM tool. Please provide some insight.

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      Data Studio logo

      Data Studio

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      258
      0
      Your data is powerful. Use it
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      + 1
      0
      PROS OF DATA STUDIO
        Be the first to leave a pro
        CONS OF DATA STUDIO
          Be the first to leave a con

          related Data Studio posts

          Mohan Ramanujam

          We are a consumer mobile app IOS/Android startup. The app is instrumented with branch and Firebase. We use Google BigQuery. We are looking at tools that can support engagement and cohort analysis at an early stage price which we can grow with. Data Studio is the default but it would seem Looker provides more power. We don't have much insight into Amplitude other than the fact it is a popular PM tool. Please provide some insight.

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          Redash logo

          Redash

          290
          406
          10
          Easily query an existing database, share the dataset and visualize it in different ways
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          + 1
          10
          PROS OF REDASH
          • 7
            Open Source
          • 3
            SQL Friendly
          CONS OF REDASH
          • 1
            All results are loaded into RAM before displaying
          • 1
            Memory Leaks

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