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Pachyderm vs Pig

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Pachyderm
23
94
+ 1
5
Pig
59
111
+ 1
5
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Pachyderm vs Pig: What are the differences?

Pachyderm: MapReduce without Hadoop. Analyze massive datasets with Docker. Pachyderm is an open source MapReduce engine that uses Docker containers for distributed computations; Pig: Platform for analyzing large data sets. Pig is a dataflow programming environment for processing very large files. Pig's language is called Pig Latin. A Pig Latin program consists of a directed acyclic graph where each node represents an operation that transforms data Operations are of two flavors: (1) relational-algebra style operations such as join, filter, project; (2) functional-programming style operators such as map, reduce. .

Pachyderm and Pig can be categorized as "Big Data" tools.

Pachyderm and Pig are both open source tools. It seems that Pachyderm with 3.81K GitHub stars and 369 forks on GitHub has more adoption than Pig with 583 GitHub stars and 449 GitHub forks.

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Pros of Pachyderm
Pros of Pig
  • 3
    Containers
  • 1
    Versioning
  • 1
    Can run on GCP or AWS
  • 2
    Finer-grained control on parallelization
  • 1
    Proven at Petabyte scale
  • 1
    Open-source
  • 1
    Join optimizations for highly skewed data

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Cons of Pachyderm
Cons of Pig
  • 1
    Recently acquired by HPE, uncertain future.
    Be the first to leave a con

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    - No public GitHub repository available -

    What is Pachyderm?

    Pachyderm is an open source MapReduce engine that uses Docker containers for distributed computations.

    What is Pig?

    Pig is a dataflow programming environment for processing very large files. Pig's language is called Pig Latin. A Pig Latin program consists of a directed acyclic graph where each node represents an operation that transforms data. Operations are of two flavors: (1) relational-algebra style operations such as join, filter, project; (2) functional-programming style operators such as map, reduce.

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    Jobs that mention Pachyderm and Pig as a desired skillset
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    What companies use Pachyderm?
    What companies use Pig?
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    What tools integrate with Pachyderm?
    What tools integrate with Pig?
    What are some alternatives to Pachyderm and Pig?
    Hadoop
    The Apache Hadoop software library is a framework that allows for the distributed processing of large data sets across clusters of computers using simple programming models. It is designed to scale up from single servers to thousands of machines, each offering local computation and storage.
    Apache Spark
    Spark is a fast and general processing engine compatible with Hadoop data. It can run in Hadoop clusters through YARN or Spark's standalone mode, and it can process data in HDFS, HBase, Cassandra, Hive, and any Hadoop InputFormat. It is designed to perform both batch processing (similar to MapReduce) and new workloads like streaming, interactive queries, and machine learning.
    Airflow
    Use Airflow to author workflows as directed acyclic graphs (DAGs) of tasks. The Airflow scheduler executes your tasks on an array of workers while following the specified dependencies. Rich command lines utilities makes performing complex surgeries on DAGs a snap. The rich user interface makes it easy to visualize pipelines running in production, monitor progress and troubleshoot issues when needed.
    Kafka
    Kafka is a distributed, partitioned, replicated commit log service. It provides the functionality of a messaging system, but with a unique design.
    DVC
    It is an open-source Version Control System for data science and machine learning projects. It is designed to handle large files, data sets, machine learning models, and metrics as well as code.
    See all alternatives

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