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Top 9 Databases in Workflows

The best Databases within the Workflows category - based on our collection of reviews & verified products.

Apache Airflow Dask Apache Drill Apache Storm AWS Step Functions Lightbend Akka Platform SAP BW AWS Data Wrangler Oracle Data Warehouse

Summary

The top products on this list are Apache Airflow, Dask, and Apache Drill. All products here are categorized as: Software for creating, managing, and manipulating databases. Software for designing and managing business processes and workflows. One of the criteria for ordering this list is the number of mentions that products have on reliable external sources. You can suggest additional sources through the form here.
  1. Airflow is a platform to programmaticaly author, schedule and monitor data pipelines.
    Pricing:
    • Open Source

    #Automation #Workflow Automation #ETL 76 social mentions

  2. 2
    Dask natively scales Python Dask provides advanced parallelism for analytics, enabling performance at scale for the tools you love
    Pricing:
    • Open Source

    #Software Development #Databases #Cloud Computing 16 social mentions

  3. Schema-Free SQL Query Engine for Hadoop and NoSQL
    Pricing:
    • Open Source

    #Databases #Relational Databases #MySQL Tools 3 social mentions

  4. Apache Storm is a free and open source distributed realtime computation system.
    Pricing:
    • Open Source

    #Data Dashboard #Big Data #Stream Processing 11 social mentions

  5. AWS Step Functions makes it easy to coordinate the components of distributed applications and microservices using visual workflows.

    #Automation #Data Integration #Workflow Automation 68 social mentions

  6. Lightbend Fast Data Platform is the easy on-ramp to successful streaming Fast Data applications.

    #Big Data #Databases #Workflow Automation 1 social mentions

  7. 7
    SAP BW Tutorial - SAP Business Warehouse (BW) integrates data from different sources, transforms and consolidates the data, does data cleansing, and storing of data as well. It a

    #Big Data #Databases #Data Warehousing

  8. Pandas on AWS. Contribute to awslabs/aws-data-wrangler development by creating an account on GitHub.

    #Databases #DevOps Tools #Data Science And Machine Learning 4 social mentions

  9. Data Warehouse

    #Big Data #Databases #Data Management

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