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  2. Apache Samza - Wikipedia

    en.wikipedia.org/wiki/Apache_Samza

    Samza allows users to build stateful applications that process data in real-time from multiple sources including Apache Kafka. Samza provides fault tolerance, isolation and stateful processing. Unlike batch systems such as Apache Hadoop or Apache Spark, it provides continuous computation and output, which result in sub-second [3] response times.

  3. Comparison of streaming media software - Wikipedia

    en.wikipedia.org/wiki/Comparison_of_streaming...

    (HTTP Live Streaming, Smooth Streaming, HTTP Dynamic Streaming) Yes: Yes Yes No Yes Yes Yes Yes Yes (RTMP, RTMPE, RTMPTE, RTMPT, RTMPS, RTMP Dynamic Streaming) Yes No No Yes Yes Name HTTP MPEG DASH WebRTC RTSP MMS RTP RTCP UDP TCP RTMP MPEG TS Real Data Transport Web sockets HLS DASH SRTP

  4. 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.

  5. Apache RocketMQ - Wikipedia

    en.wikipedia.org/wiki/Apache_RocketMQ

    RocketMQ [2] is a distributed messaging and streaming platform with low latency, high performance and reliability, trillion-level capacity and flexible scalability. It is the third generation distributed messaging middleware open sourced by Alibaba in 2012.

  6. Apache Spark - Wikipedia

    en.wikipedia.org/wiki/Apache_Spark

    Spark Core is the foundation of the overall project. It provides distributed task dispatching, scheduling, and basic I/O functionalities, exposed through an application programming interface (for Java, Python, Scala, .NET [16] and R) centered on the RDD abstraction (the Java API is available for other JVM languages, but is also usable for some other non-JVM languages that can connect to the ...

  7. Stream processing - Wikipedia

    en.wikipedia.org/wiki/Stream_processing

    Stream processing is essentially a compromise, driven by a data-centric model that works very well for traditional DSP or GPU-type applications (such as image, video and digital signal processing) but less so for general purpose processing with more randomized data access (such as databases). By sacrificing some flexibility in the model, the ...

  8. Comparison of video hosting services - Wikipedia

    en.wikipedia.org/wiki/Comparison_of_video...

    This article needs to be updated. Please help update this article to reflect recent events or newly available information. (August 2022) The following tables compare general and technical information for a number of current, notable video hosting services. Please see the individual products' articles for further information. General information Basic general information about the hosts ...

  9. List of online video platforms - Wikipedia

    en.wikipedia.org/wiki/List_of_online_video_platforms

    Online video platforms allow users to upload, share videos or live stream their own videos to the Internet. These can either be for the general public to watch, or particular users on a shared network. The most popular video hosting website is YouTube, 2 billion active until October 2020 and the most extensive catalog of online videos. [1]