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Top 9 Data Integration Products in Application And Data

The best Data Integration Products within the Application And Data category - based on our collection of reviews & verified products.

AWS Transfer for SFTP Azure Service Bus Hangfire Realm.io Couchdrop Sidekiq Akka Pentaho Data Integration Socket.io

Product categories

Backup & Sync Cloud Computing Cloud Storage Data Integration Developer Tools ETL File Sharing Ruby Ruby On Rails Stream Processing Web And Application Servers Web Service Automation

Summary

The top products on this list are AWS Transfer for SFTP, Azure Service Bus, and Hangfire. All products here are categorized as: Software for combining data from different sources into a unified view. General category for applications and data management tools. 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. AWS Transfer for SFTP Landing Page
    AWS Transfer for SFTP Landing Page
    1

    AWS Transfer for SFTP

    AWS Transfer for SFTP (AWS SFTP), is a fully managed service hosted in AWS that enables transfer of files over the Secure Shell (SSH) File Transfer Protocol directly in and out of Amazon S3.

    #File Sharing #Cloud Storage #File Transfer 7 social mentions

  2. Azure Service Bus Landing Page
    Azure Service Bus Landing Page
    2

    Azure Service Bus

    Learn how to set up messaging that connects applications and services across on-premises and cloud environments. Tutorials, videos, API references, and more.

    #Data Integration #ETL #Open Source

  3. Hangfire Landing Page
    Hangfire Landing Page
    3

    Hangfire

    An easy way to perform background processing in .NET and .NET Core applications.
    Pricing:
    • Open Source

    #Data Integration #Stream Processing #Web Service Automation 5 social mentions

  4. Realm.io Landing Page
    Realm.io Landing Page
    4

    Realm.io

    Realm is a mobile platform and a replacement for SQLite & Core Data. Build offline-first, reactive mobile experiences using simple data sync.
    Pricing:
    • Open Source

    #Data Integration #Databases #NoSQL Databases 24 social mentions

  5. Couchdrop Landing Page
    Couchdrop Landing Page
    5

    Couchdrop

    Couchdrop moves files to the cloud. The Cloud SFTP, FTP, SCP and Rsync server that works with Storage like Dropbox. Up and running in seconds. Fully hosted service. No worries.

    #Cloud Computing #FTP And File Uploads #File Sharing And Backup 2 social mentions

  6. Sidekiq Landing Page
    Sidekiq Landing Page
    6

    Sidekiq

    Sidekiq is a simple, efficient framework for background job processing in Ruby
    Pricing:
    • Open Source

    #Ruby On Rails #Ruby #Background Processing 22 social mentions

  7. Akka Landing Page
    Akka Landing Page
    7

    Akka

    Build powerful reactive, concurrent, and distributed applications in Java and Scala
    Pricing:
    • Open Source

    #Web And Application Servers #Data Integration #Monitoring Tools 21 social mentions

  8. Pentaho Data Integration Landing Page
    Pentaho Data Integration Landing Page
    8

    Pentaho Data Integration

    Hitachi Vantara brings Pentaho Data Integration, an end-to-end platform for all data integration challenges, that simplifies creation of data pipelines and provides big data processing.

    #Backup & Sync #Data Integration #Development

  9. Socket.io Landing Page
    Socket.io Landing Page
    9

    Socket.io

    Realtime application framework (Node.JS server)
    Pricing:
    • Open Source

    #Developer Tools #App Development #Mobile Push Messaging 720 social mentions

Related categories

📂 Ruby On Rails 📁 File Sharing 🔄 ETL 🌊 Stream Processing 🌐 Web Service Automation

Recently added products

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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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