Software Alternatives, Accelerators & Startups

Best Open source no-code ELT tool for startup

Apache Spark Apache Airflow Versatile Data Kit
  1. Apache Spark is an engine for big data processing, with built-in modules for streaming, SQL, machine learning and graph processing.
    Pricing:
    • Open Source
    For my ETL/data warehouse/analytics needs, I've been very happy with Apache Airflow combined with Apache Spark.

    #Databases #Big Data #Big Data Analytics 56 social mentions

  2. Airflow is a platform to programmaticaly author, schedule and monitor data pipelines.
    Pricing:
    • Open Source
    For my ETL/data warehouse/analytics needs, I've been very happy with Apache Airflow combined with Apache Spark.

    #Workflows #Workflow Automation #Data Pipelines 66 social mentions

  3. An open-source framework that enables anybody to create their own data pipelines, with: - Data SDK for the automation of data extraction, transformation, and loading.
    Opensource, good for basic SQL and/or Python skills, extensible and provides support in setup/adoption of the framework. Https://github.com/vmware/versatile-data-kit I'm the community manager for this project, I built my first full ELT pipeline (tracking GitHub stats) with no previous experience on my first month totally by myself. It's covering the full data journey. Oh, and it has Airflow integration, with that you can have a dashboard to see your jobs, dependencies but has better/more intuitive scheduling.

    #Automation #Web Service Automation #Workflow Automation 10 social mentions

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