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Top 9 Application And Data in Data Integration

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

OceanBase Conc Apache Flink Kafka SQLite Akka WakaQ Resque Hangfire

Summary

The top products on this list are OceanBase, Conc, and Apache Flink. All products here are categorized as: General category for applications and data management tools. Software for combining data from different sources into a unified view. 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. Unlimited scalable distributed database for data intensive transaction & real-time operational analytics workload, with ultra fast performance of maintaining the world record of both TPC-C and TPC-H benchmark tests.
    Pricing:
    • Open Source

    #Databases #Relational Databases #Data Warehousing

  2. 2
    Better structured concurrency for go. Contribute to sourcegraph/conc development by creating an account on GitHub.

    #Data Integration #Monitoring Tools #Concurrency Frameworks 11 social mentions

  3. 4
    Apache Kafka is publish-subscribe messaging rethought as a distributed commit log.

    #Log Management #Error Tracking #Data Integration

  4. 5
    SQLite Home Page
    Pricing:
    • Open Source

    #Databases #NoSQL Databases #Relational Databases 18 social mentions

  5. 6
    Build powerful reactive, concurrent, and distributed applications in Java and Scala
    Pricing:
    • Open Source

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

  6. 7
    Distributed background task queue for Python backed by Redis, a super minimal Celery - GitHub - wakatime/wakaq: Distributed background task queue for Python backed by Redis, a super minimal Celery

    #Data Integration #Stream Processing #Message Queue 2 social mentions

  7. 8
    Resque is a Redis-backed Ruby library for creating background jobs, placing them on multiple queues, and processing them later.

    #Data Integration #Stream Processing #Ruby On Rails 9 social mentions

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

    #Data Integration #Stream Processing #Ruby On Rails 5 social mentions

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