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Apache Tez VS Apache Pig

Compare Apache Tez VS Apache Pig and see what are their differences

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

Apache Tez logo Apache Tez

Apache Tez is aimed at building an application framework which allows for a complex directed-acyclic-graph of tasks for processing data.

Apache Pig logo Apache Pig

Pig is a high-level platform for creating MapReduce programs used with Hadoop.
  • Apache Tez Landing page
    Landing page //
    2019-11-10
  • Apache Pig Landing page
    Landing page //
    2021-12-31

Apache Tez videos

No Apache Tez 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 Apache Tez and Apache Pig)

Apache Tez

Apache Pig

Databases
100 100%
Databases
0% 0
Data Dashboard
3 3%
Data Dashboard
97% 97
Big Data
100 100%
Big Data
0% 0
Database Tools
0 0%
Database Tools
100% 100

User comments

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Social recommendations and mentions

Based on our record, Apache Pig should be more popular than Apache Tez. 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 Tez mentions (1)

  • In One Minute : Hadoop
    Tez is an extensible framework for building high performance batch and interactive data processing applications, coordinated by YARN. - Source: dev.to / over 1 year 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 Apache Tez and Apache Pig, you can also consider the following products

Apache Spark - Apache Spark is an engine for big data processing, with built-in modules for streaming, SQL, machine learning and graph processing.

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 Storm - Apache Storm is a free and open source distributed realtime computation system.

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 Flink - Flink is a streaming dataflow engine that provides data distribution, communication, and fault tolerance for distributed computations.

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

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