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CDAP

40
106
+ 1
0
Mara

4
22
+ 1
3
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CDAP vs Mara: 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; Mara: A lightweight ETL framework. A lightweight ETL framework with a focus on transparency and complexity reduction.

CDAP and Mara can be categorized as "Big Data" tools.

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, Mara provides the following key features:

  • Data integration pipelines as code: pipelines, tasks and commands are created using declarative Python code.
  • PostgreSQL as a data processing engine.
  • Extensive web ui. The web browser as the main tool for inspecting, running and debugging pipelines.

CDAP and Mara are both open source tools. Mara with 1.24K GitHub stars and 51 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 Mara
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    • 1
      Great developing experience
    • 1
      ETL Tool
    • 1
      UI focused on ETL development

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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 Mara?

    A lightweight ETL framework with a focus on transparency and complexity reduction.

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    What companies use CDAP?
    What companies use Mara?
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      What tools integrate with CDAP?
      What tools integrate with Mara?
        No integrations found
        What are some alternatives to CDAP and Mara?
        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