Showing 4 open source projects for "data driven"

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  • 1
    GenStage

    GenStage

    Producer and consumer actors with back-pressure for Elixir

    GenStage is a specification and set of behaviours for building demand-driven data pipelines on the BEAM. It formalizes the roles of producers, consumers, and producer-consumers, using back-pressure so that fast producers don’t overwhelm downstream stages. Developers implement callbacks like handle_demand and handle_events to control how items are emitted, transformed, and consumed across asynchronous boundaries.
    Downloads: 1 This Week
    Last Update:
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  • 2
    Alluxio

    Alluxio

    Open Source Data Orchestration for the Cloud

    Alluxio is the world’s first open source data orchestration technology for analytics and AI for the cloud. It bridges the gap between computation frameworks and storage systems, bringing data from the storage tier closer to the data driven applications. This enables applications to connect to numerous storage systems through a common interface. It makes data local, more accessible and as elastic as compute.
    Downloads: 1 This Week
    Last Update:
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  • 3
    Kestra

    Kestra

    Kestra is an infinitely scalable orchestration and scheduling platform

    Build reliable workflows, blazingly fast, deploy in just a few clicks. Kestra is an open-source, event-driven orchestrator that simplifies data operations and improves collaboration between engineers and business users. By bringing Infrastructure as Code best practices to data pipelines, Kestra allows you to build reliable workflows and manage them with confidence. Thanks to the declarative YAML interface for defining orchestration logic, everyone who benefits from analytics can participate in the data pipeline creation process. ...
    Downloads: 1 This Week
    Last Update:
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  • 4
    Apache Kafka

    Apache Kafka

    Mirror of Apache Kafka

    ...Kafka Streams and Kafka Connect extend the core: Streams provides a library for stateful stream processing within applications, while Connect standardizes integration with external systems. With horizontal scalability, strong ordering guarantees within partitions, and mature tooling, Kafka serves as the backbone for event-driven architectures across analytics, microservices, and data integration.
    Downloads: 2 This Week
    Last Update:
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