Software Alternatives, Accelerators & Startups

Dat VS Apache Pig

Compare Dat VS Apache Pig and see what are their differences

Dat logo Dat

Real-time replication and versioning for data sets

Apache Pig logo Apache Pig

Pig is a high-level platform for creating MapReduce programs used with Hadoop.
  • Dat Landing page
    Landing page //
    2022-04-28
  • Apache Pig Landing page
    Landing page //
    2021-12-31

Dat videos

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

Apache Pig videos

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

More videos:

  • Review - Simple Data Analysis with Apache Pig

Category Popularity

0-100% (relative to Dat and Apache Pig)
Web Browsers
100 100%
0% 0
Data Dashboard
0 0%
100% 100
Security
100 100%
0% 0
Database Tools
0 0%
100% 100

User comments

Share your experience with using Dat 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 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.

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 / about 2 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 Dat and Apache Pig, you can also consider the following products

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

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.

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

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.

Sia - Sia - Decentralized data storage

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