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Azure Data Lake Store VS Apache Pig

Compare Azure Data Lake Store VS Apache Pig and see what are their differences

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Contents:
  1. » Base Details
  2. » Videos
  3. » Reviews
  4. » Alternatives

Azure Data Lake Store logo Azure Data Lake Store

Azure Data Lake Storage Gen2 is highly scalable and secure storage for big data analytics. Maximize costs and efficiency through full integrations with other Azure products.

Apache Pig logo Apache Pig

Pig is a high-level platform for creating MapReduce programs used with Hadoop.
  • Azure Data Lake Store Landing page
    Landing page //
    2023-03-17
  • Apache Pig Landing page
    Landing page //
    2021-12-31

Azure Data Lake Store videos

No Azure Data Lake Store videos yet. You could help us improve this page by suggesting one.

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Apache Pig videos

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Pig Tutorial | Apache Pig Script | Hadoop Pig Tutorial | Edureka

More videos:

  • Review - Simple Data Analysis with Apache Pig

Category Popularity

0-100% (relative to Azure Data Lake Store and Apache Pig)

Azure Data Lake Store

Apache Pig

Data Dashboard
29 29%
Data Dashboard
71% 71
Big Data
100 100%
Big Data
0% 0
Database Tools
0 0%
Database Tools
100% 100
Data Warehousing
100 100%
Data Warehousing
0% 0

User comments

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Social recommendations and mentions

Based on our record, Apache Pig should be more popular than Azure Data Lake Store. It has been mentiond 2 times since March 2021. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.

Azure Data Lake Store mentions (1)

  • Top 30 Microsoft Azure Services
    If you're deploying applications to the cloud, you'll need persistent data storage. Azure Blob Storage allows scalable storage for objects and files and provides an SDK to easily access them. Blob storage is a great trigger for Azure Functions, where uploading a file can automatically run your custom logic in the cloud (for example, if you wanted to run OCR on a file as soon as it's uploaded to a storage... - Source: dev.to / almost 3 years ago

Apache Pig mentions (2)

  • In One Minute : Hadoop
    Pig, a platform/programming language for authoring parallelizable jobs. - Source: dev.to / over 1 year ago
  • Spark is lit once again
    In the early days of the Big Data era when K8s hasn't even been born yet, the common open source go-to solution was the Hadoop stack. We have written several old-fashioned Map-Reduce jobs, scripts using Pig until we came across Spark. Since then Spark has became one of the most popular data processing engines. It is very easy to start using Lighter on YARN deployments. Just run a docker with proper configuration... - Source: dev.to / over 2 years ago

What are some alternatives?

When comparing Azure Data Lake Store and Apache Pig, you can also consider the following products

Google BigQuery - A fully managed data warehouse for large-scale data analytics.

Looker - Looker makes it easy for analysts to create and curate custom data experiences—so everyone in the business can explore the data that matters to them, in the context that makes it truly meaningful.

Qubole - Qubole delivers a self-service platform for big aata analytics built on Amazon, Microsoft and Google Clouds.

Jupyter - Project Jupyter exists to develop open-source software, open-standards, and services for interactive computing across dozens of programming languages. Ready to get started? Try it in your browser Install the Notebook.

Amazon EMR - Amazon Elastic MapReduce is a web service that makes it easy to quickly process vast amounts of data.

Presto DB - Distributed SQL Query Engine for Big Data (by Facebook)

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