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Top 4 Workflow Automation Products in Data Stores

The best Workflow Automation Products within the Data Stores category - based on our collection of reviews & verified products.

Benthos Samza Arroyo Kafka Streams

Product categories

Analytics Application And Data Big Data Data Integration Data Stores Databases Open Source Push Notifications Stream Processing Web Push Notifications Workflow Automation

Summary

The top products on this list are Benthos, Samza, and Arroyo. All products here are categorized as: Software for automating project workflows and processes. Data Stores. 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. Benthos Landing Page
    Benthos Landing Page
    1

    Benthos

    Stream data processor written in golang with yaml pipeline configuration.
    Pricing:
    • Open Source

    #Workflow Automation #Push Notifications #Open Source 23 social mentions

  2. Samza Landing Page
    Samza Landing Page
    2

    Samza

    Application and Data, Data Stores, and Message Queue

    #Analytics #Workflow Automation #Stream Processing 3 social mentions

  3. Arroyo Landing Page
    Arroyo Landing Page
    3

    Arroyo

    Arroyo is the easiest way to run SQL queries against your real-time data in Kafka.
    Pricing:
    • Open Source

    #Application And Data #Data Stores #Stream Processing

  4. Kafka Streams Landing Page
    Kafka Streams Landing Page
    4

    Kafka Streams

    Apache Kafka: A Distributed Streaming Platform.

    #Stream Processing #Databases #Data Integration 14 social mentions

Related categories

🌊 Stream Processing 📈 Analytics 💻 Application And Data 💾 Databases 🔔 Push Notifications
If you want to make changes on any of the products, you can go to its page and click on the "Suggest Changes" link. Alternatively, if you are working on one of these products, it's best to verify it and make the changes directly through the management page. Thanks!
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