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title: Cascalog | Data processing on Hadoop without the hassle
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    <h1>Cascalog</h1>

    <p>
      Fully-featured data processing and querying library <br /> for Clojure or Java.
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      <a class='btn btn-primary btn-large' href='/articles/getting_started.html'>Get Started! »</a>
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        <a href="/articles/guides.html">Read doc guides »</a>
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        <a href='https://github.com/nathanmarz/cascalog'>Contribute »</a>
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        <p>
          The main use cases for Cascalog are processing "Big Data" on top of Hadoop or doing analysis on your local computer. Cascalog is a replacement for tools like Pig, Hive, and Cascading which operates at a significantly higher level of abstraction than those tools.
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        <h2>Simple</h2>
        <p>Functions, filters, and aggregators all use the same syntax. Joins are implicit and natural.</p>
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        <h2>Expressive</h2>
        <p>Logical composition is very powerful, and you can run arbitrary Clojure code in your query with little effort. You specify what you want and not how to do it.</p>
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        <h2>Scalable</h2>
        <p>Cascalog queries run as a series of MapReduce jobs. The same code can run with a single data file on your laptop and for petabytes of data in a computing cluster.</p>
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