Apache Pig Overview

Apache Pig is an open-source platform for analyzing large datasets in the Hadoop ecosystem. It simplifies the process of writing complex data transformations, making it easier for data engineers and analysts to work with big data. Apache Pig provides a high-level language called Pig Latin, which abstracts the complexities of writing MapReduce programs, allowing users to focus on the logic of data transformation rather than the underlying implementation. The platform supports a variety of data formats and integrates seamlessly with other big data tools like Apache Hive and Apache HBase. Pig also provides built-in functions for common data operations, such as filtering, joining, and grouping, and can easily handle both structured and unstructured data. With its scalability and flexibility, Apache Pig is ideal for businesses looking to process large volumes of data efficiently, whether for data warehousing, reporting, or analytics. If you’re dealing with complex big data transformations and need a more intuitive solution than traditional MapReduce, Apache Pig offers a powerful, easy-to-use alternative.

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Contact Details

  • Vendor Name Apache Software Foundation
  • Founded 2011
  • Location Germany

Support

    NA


Training

  • NA

Licensing & Deployment

  • Proprietary Proprietary
  • Cloud Hosted Cloud Hosted
  • Web-Based Web-Based

Typical Customers

  • Self-Employed Self-Employed
  • Small-Business Small-Business
  • Midsize-Business Midsize-Business

Languages Supported

English


Industries

Information Services, Information Technology & Services, Insurance, Real Estate

Apache Pig Features

  • Arrow Icon Data Blending
  • Arrow Icon Third-Party Integrations
  • Arrow Icon Trend Analysis
  • Arrow Icon Data Connectors
  • Arrow Icon Collaboration Tools
  • Arrow Icon Predictive Analytics
  • Arrow Icon High Volume Processing
  • Arrow Icon Data Warehousing
  • Arrow Icon Data Visualization
  • Arrow Icon Visual Analytics
  • Arrow Icon Access Controls/Permissions
  • Arrow Icon Forecasting
  • Arrow Icon Data Security
  • Arrow Icon Statistical Analysis

Apache Pig Pricing

Pricing Type

  • Pricing Type Contact Vendor

Preferred Currency

  • NA

Free Trial

  • NA

Free Version

  • NA

Payment Frequency

  • NA

Apache Pig FAQs

Apache Pig is an open-source platform for analyzing large datasets in the Hadoop ecosystem. It simplifies the process of writing complex data transformations, making it easier for data engineers and analysts to work with big data. Apache Pig provides a high-level language called Pig Latin, which abstracts the complexities of writing MapReduce programs, allowing users to focus on the logic of data transformation rather than the underlying implementation. The platform supports a variety of data formats and integrates seamlessly with other big data tools like Apache Hive and Apache HBase. Pig also provides built-in functions for common data operations, such as filtering, joining, and grouping, and can easily handle both structured and unstructured data. With its scalability and flexibility, Apache Pig is ideal for businesses looking to process large volumes of data efficiently, whether for data warehousing, reporting, or analytics. If you’re dealing with complex big data transformations and need a more intuitive solution than traditional MapReduce, Apache Pig offers a powerful, easy-to-use alternative.

  • No, Apache Pig does not offer a free version.

  • Yes, Apache Pig offers a free trial.

  • No, Credit Card details are not required for the Apache Pig trial.

  • No, Apache Pig does not offer an API.

  • Apache Pig supports the following languages:
    • English

  • Following are the typical users of the Apache Pig:
    • Self-Employed , Small-Business , Midsize-Business

  • Apache Pig supports the following deployment:
    • Cloud Hosted

  • Apache Pig supports the following devices and operating systems:
    • Web-Based