Showing 7 open source projects for "event"

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  • 1
    GenStage

    GenStage

    Producer and consumer actors with back-pressure for Elixir

    ...Its clear separation of concerns encourages testable, composable stages that can be rearranged as requirements evolve. In production, this leads to predictable, resilient dataflows for event ingestion, batching, and parallel processing.
    Downloads: 0 This Week
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  • 2
    rudderstack

    rudderstack

    Privacy and Security focused Segment-alternative, in Golang

    ...Say goodbye to different versions of the truth. Our SDKs track anonymous and known users at the source and reconcile users in your warehouse and SaaS tools. Go beyond event streaming and control all of your customer data on your own terms. Learn how we can help you build a customer data platform. RudderStack treats your data warehouse as a first-class citizen among destinations, with advanced features and configurable, near real-time sync. RudderStack is built API-first. It integrates seamlessly with the tools that the developers already use and love.
    Downloads: 3 This Week
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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
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  • 4
    Conduit

    Conduit

    Conduit streams data between data stores. Kafka Connect replacement

    ...Conduit comes with batteries included, it provides a UI, common connectors, processors and observability data out of the box. Sync data between your production systems using an extensible, event-first experience with minimal dependencies that fit within your existing workflow. Eliminate the multi-step process you go through today. Just download the binary and start building. Conduit connectors give you the ability to pull and push data to any production datastore you need. If a datastore is missing, the simple SDK allows you to extend Conduit where you need it. ...
    Downloads: 6 This Week
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  • 5
    memphis

    memphis

    Next-Generation Event Processing Platform

    Memphis enables building modern queue-based applications that require large volumes of streamed and enriched data, modern protocols, zero ops, up to x9 faster development, up to x46 fewer costs, and significantly lower dev time for data-oriented developers and data engineers. Queues and brokers are a mission-critical component in the modern application architecture and should be highly available and stable as possible. Provide great performance while maintaining efficient resource...
    Downloads: 0 This Week
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  • 6
    Microsoft Integration

    Microsoft Integration

    Microsoft Integration, Azure, Power Platform, Office 365 and much more

    Microsoft Integration, Azure, BAPI, Office 365 and much more Stencils Pack it’s a Visio package that contains fully resizable Visio shapes (symbols/icons) that will help you to visually represent On-premise, Cloud or Hybrid Integration and Enterprise architectures scenarios (BizTalk Server, API Management, Logic Apps, Service Bus, Event Hub…), solutions diagrams and features or systems that use Microsoft Azure and related cloud and on-premises technologies in Visio 2016/2013.
    Downloads: 1 This Week
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  • 7
    Apache Kafka

    Apache Kafka

    Mirror of Apache Kafka

    Apache Kafka is a distributed streaming platform built around durable, partitioned logs called topics, enabling high-throughput, fault-tolerant event pipelines. Producers append records to partitions, brokers replicate them for durability, and consumer groups read them at their own pace while balancing work across instances. The commit/offset model and retention policies support patterns from real-time processing to event sourcing and audit trails. Exactly-once processing semantics, idempotent producers, and transactions help prevent duplicates across complex dataflows. ...
    Downloads: 1 This Week
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