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CDAP

40
106
+ 1
0
Pachyderm

23
94
+ 1
5
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CDAP vs Pachyderm: What are the differences?

CDAP: Open source virtualization platform for Hadoop data and apps. Cask Data Application Platform (CDAP) is an open source application development platform for the Hadoop ecosystem that provides developers with data and application virtualization to accelerate application development, address a broader range of real-time and batch use cases, and deploy applications into production while satisfying enterprise requirements; Pachyderm: MapReduce without Hadoop. Analyze massive datasets with Docker. Pachyderm is an open source MapReduce engine that uses Docker containers for distributed computations.

CDAP and Pachyderm belong to "Big Data Tools" category of the tech stack.

Some of the features offered by CDAP are:

  • Streams for data ingestion
  • Reusable libraries for common Big Data access patterns
  • Data available to multiple applications and different paradigms

On the other hand, Pachyderm provides the following key features:

  • Git-like File System
  • Dockerized MapReduce
  • Microservice Architecture

CDAP and Pachyderm are both open source tools. Pachyderm with 3.81K GitHub stars and 369 forks on GitHub appears to be more popular than CDAP with 346 GitHub stars and 178 GitHub forks.

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Pros of CDAP
Pros of Pachyderm
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    • 3
      Containers
    • 1
      Versioning
    • 1
      Can run on GCP or AWS

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    Cons of CDAP
    Cons of Pachyderm
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      • 1
        Recently acquired by HPE, uncertain future.

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      What is CDAP?

      Cask Data Application Platform (CDAP) is an open source application development platform for the Hadoop ecosystem that provides developers with data and application virtualization to accelerate application development, address a broader range of real-time and batch use cases, and deploy applications into production while satisfying enterprise requirements.

      What is Pachyderm?

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

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      What tools integrate with CDAP?
      What tools integrate with Pachyderm?
      What are some alternatives to CDAP and Pachyderm?
      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.
      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.
      Akutan
      A distributed knowledge graph store. Knowledge graphs are suitable for modeling data that is highly interconnected by many types of relationships, like encyclopedic information about the world.
      Apache NiFi
      An easy to use, powerful, and reliable system to process and distribute data. It supports powerful and scalable directed graphs of data routing, transformation, and system mediation logic.
      StreamSets
      An end-to-end data integration platform to build, run, monitor and manage smart data pipelines that deliver continuous data for DataOps.
      See all alternatives