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  2. Apache Kafka - Wikipedia

    en.wikipedia.org/wiki/Apache_Kafka

    Apache Kafka is a distributed event store and stream-processing platform. It is an open-source system developed by the Apache Software Foundation written in Java and Scala.The project aims to provide a unified, high-throughput, low-latency platform for handling real-time data feeds.

  3. ZeroMQ - Wikipedia

    en.wikipedia.org/wiki/ZeroMQ

    Connects a set of clients to a set of services. This is a remote procedure call and task distribution pattern. Publish–subscribe Connects a set of publishers to a set of subscribers. This is a data distribution pattern. Pushpull (pipeline) Connects nodes in a fan-out / fan-in pattern that can have multiple steps, and loops.

  4. Publish–subscribe pattern - Wikipedia

    en.wikipedia.org/wiki/Publish–subscribe_pattern

    In software architecture, publish–subscribe or pub/sub is a messaging pattern where publishers categorize messages into classes that are received by subscribers. This is contrasted to the typical messaging pattern model where publishers send messages directly to subscribers.

  5. Push technology - Wikipedia

    en.wikipedia.org/wiki/Push_technology

    The server then fires the message against the unique key to deliver it to the client via an agreed client/server protocol such as HTTP or XMPP, and the client displays the message received. When the push notification arrives, it can transmit short notifications and messages, set badges on application icons, blink or continuously light up the ...

  6. Message broker - Wikipedia

    en.wikipedia.org/wiki/Message_broker

    Message brokers are generally based on one of two fundamental architectures: hub-and-spoke and message bus. In the first, a central server acts as the mechanism that provides integration services, whereas with the latter, the message broker is a communication backbone or distributed service that acts on the bus . [ 3 ]

  7. Change data capture - Wikipedia

    en.wikipedia.org/wiki/Change_data_capture

    Push: the source process creates a snapshot of changes within its own process and delivers rows downstream. The downstream process uses the snapshot, creates its own subset and delivers them to the next process. Pull: the target that is immediately downstream from the source, prepares a request for data from the source. The downstream target ...

  8. Message queue - Wikipedia

    en.wikipedia.org/wiki/Message_queue

    There is a Java standard called Java Message Service, which has several proprietary and free software implementations. Real-time operating systems (RTOSes) such as VxWorks and QNX encourage the use of message queuing as the primary inter-process or inter-thread communication mechanism.

  9. Pull technology - Wikipedia

    en.wikipedia.org/wiki/Pull_technology

    Pull is used extensively on the Internet for HTTP page requests from websites. A push can also be simulated using multiple pulls within a short amount of time. For example, when pulling POP3 email messages from a server, a client can make regular pull requests, every few minutes. To the user, the email then appears to be pushed, as emails ...