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Sqoop VS Apache Pig

Compare Sqoop VS Apache Pig and see what are their differences

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Sqoop logo Sqoop

A search and alerting platform for public records, so far including the SEC, the Patent Office...

Apache Pig logo Apache Pig

Pig is a high-level platform for creating MapReduce programs used with Hadoop.
  • Sqoop Landing page
    Landing page //
    2021-07-24
  • Apache Pig Landing page
    Landing page //
    2021-12-31

Sqoop videos

+ Add

Apache Sqoop Tutorial | Sqoop: Import & Export Data From MySQL To HDFS | Hadoop Training | Edureka

More videos:

  • Review - 5.1 Complete Sqoop Training - Review Employees data in MySQL
  • Review - Sqoop -- Big Data Analytics Series

Apache Pig videos

+ Add

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

More videos:

  • Review - Simple Data Analysis with Apache Pig

Category Popularity

0-100% (relative to Sqoop and Apache Pig)

Sqoop

Apache Pig

Development
46 46%
Development
54% 54
Data Dashboard
0 0%
Data Dashboard
100% 100
Web Browsers
100 100%
Web Browsers
0% 0
Database Tools
0 0%
Database Tools
100% 100

User comments

Share your experience with using Sqoop and Apache Pig. For example, how are they different and which one is better?
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Social recommendations and mentions

Based on our record, Apache Pig seems to be more popular. 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.

Sqoop mentions (0)

We have not tracked any mentions of Sqoop yet. Tracking of Sqoop recommendations started around Mar 2021.

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 Sqoop and Apache Pig, you can also consider the following products

Apache Archiva - Apache Archiva is an extensible repository management software.

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.

Apache Tika - Apache Tika toolkit detects and extracts metadata and text from different file types.

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.

Apache Ambari - Ambari is aimed at making Hadoop management simpler by developing software for provisioning, managing, and monitoring Hadoop clusters.

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

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