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Apache Pig VS Dat

Compare Apache Pig VS Dat and see what are their differences

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

Apache Pig logo Apache Pig

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

Dat logo Dat

Real-time replication and versioning for data sets
  • Apache Pig Landing page
    Landing page //
    2021-12-31
  • Dat Landing page
    Landing page //
    2022-04-28

Apache Pig videos

+ Add

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

More videos:

  • Review - Simple Data Analysis with Apache Pig

Dat videos

+ Add

DAT Organic Chemistry Study Guide Exam Course Review Prep

More videos:

  • Review - DAT Test Prep General Chemistry Review Notes & Practice Questions Part 1
  • Review - TruckersEdge DAT load Board, Week In Freight! April 15, 2019

Category Popularity

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

Apache Pig

Dat

Data Dashboard
100 100%
Data Dashboard
0% 0
Security
0 0%
Security
100% 100
Database Tools
100 100%
Database Tools
0% 0
VPN
0 0%
VPN
100% 100

User comments

Share your experience with using Apache Pig and Dat. 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 should be more popular than Dat. 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

Dat mentions (1)

  • Help Preserve the Internet with Archiveteam's Warrior
    Yes there are some really interesting projects, also in the ML replicability space. One really nice approach is the DAT project [1]. The protocol [2] looks pretty sensible and useful. Unfortunately, the tooling has been in such a state of permanent flux (i.e. Perpetual deprecation) that I've never bothered to invest much time. [1] https://datproject.org/ [1] https://datproject.org/. - Source: Hacker News / over 2 years ago

What are some alternatives?

When comparing Apache Pig and Dat, 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.

Beaker browser - Beaker is a browser for IPFS and Dat.

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.

IPFS - IPFS is the permanent web. A new peer-to-peer hypermedia protocol.

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

Sia - Sia - Decentralized data storage

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