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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. VoltDB - Wikipedia

    en.wikipedia.org/wiki/VoltDB

    V7.5 [13] released July 28, 2017 introduced the kafkaloader, for consuming streaming events from Kafka directly into a database table or into a stored procedure for processing. V7.6 [14] (August 28, 2017) introduced User-Defined SQL Functions, allowing customers to write custom functions in Java and make them callable from a SQL statement.

  4. 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.

  5. Apache Samza - Wikipedia

    en.wikipedia.org/wiki/Apache_Samza

    Apache Samza is an open-source, near-realtime, asynchronous computational framework for stream processing developed by the Apache Software Foundation in Scala and Java. It has been developed in conjunction with Apache Kafka. Both were originally developed by LinkedIn. [2]

  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. Amazon Kinesis - Wikipedia

    en.wikipedia.org/wiki/Amazon_Kinesis

    Amazon Kinesis is a family of services provided by Amazon Web Services (AWS) for processing and analyzing real-time streaming data at a large scale. Launched in November 2013, it offers developers the ability to build applications that can consume and process data from multiple sources simultaneously. [2]

  8. AOL Video - Troubleshooting - AOL Help

    help.aol.com/articles/aol-video-troubleshooting

    If a streaming video appears choppy or plays like a slide show, please check out the solutions listed below to resolve the issue. After trying the first solution, check to see if the video starts working. If you're still having issues, continue trying the suggested solutions until the problem is fixed. Solutions. Enable only essential startup ...

  9. Lambda architecture - Wikipedia

    en.wikipedia.org/wiki/Lambda_architecture

    Stream-processing technologies typically used in this layer include Apache Kafka, Amazon Kinesis, Apache Storm, SQLstream, Apache Samza, Apache Spark, Azure Stream Analytics, Apache Flink. Output is typically stored on fast NoSQL databases., [ 6 ] [ 7 ] or as a commit log.