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Apache Pig VS Informatica

Compare Apache Pig VS Informatica and see what are their differences

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Contents:
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  2. » Videos
  3. » Reviews
  4. » Alternatives

Apache Pig logo Apache Pig

Pig is a high-level platform for creating MapReduce programs used with Hadoop.

Informatica logo Informatica

As the world’s leader in enterprise cloud data management, we’re prepared to help you intelligently lead—in any sector, category or niche.
  • Apache Pig Landing page
    Landing page //
    2021-12-31
  • Informatica Landing page
    Landing page //
    2023-03-11

Apache Pig videos

+ Add

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

More videos:

  • Review - Simple Data Analysis with Apache Pig

Informatica videos

+ Add

00. Informatica Master Data Management MDM Overview

More videos:

  • Review - Modifying a Data Model in Informatica Master Data Management(MDM)

Category Popularity

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

Apache Pig

Informatica

Data Dashboard
27 27%
Data Dashboard
73% 73
Database Tools
27 27%
Database Tools
73% 73
Big Data Analytics
27 27%
Big Data Analytics
73% 73
Development
100 100%
Development
0% 0

User comments

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Reviews

These are some of the external sources and on-site user reviews we've used to compare Apache Pig and Informatica

Apache Pig Reviews

We have no reviews of Apache Pig yet.
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Informatica Reviews

Top 5 AWS Glue Alternatives: Best ETL Tools
Informatica is a software development company that provides products for data integration based on ETL architecture. It offers data integration software and services to various businesses, industries, and government organizations, such as telecommunications, health care, financial services, and insurance. It offers multiple features like data masking, data quality, replica,...
Source: hevodata.com
Top Big Data Tools For 2021
This tool enables businesses to collect and process big data in real-time. It automates database management and enables you to manage your big data assets from anywhere. Informatica also features a big data parser, a smart data catalog, data relationship identification, and an intelligent data lake.
Source: blog.bismart.com

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.

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

Informatica mentions (0)

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

What are some alternatives?

When comparing Apache Pig and Informatica, you can also consider the following products

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.

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.

Databricks - Databricks provides a Unified Analytics Platform that accelerates innovation by unifying data science, engineering and business.‎What is Apache Spark?

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

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

Rakam - Custom analytics platform

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