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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.
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]
Most (90%) of a stream processor's work is done on-chip, requiring only 1% of the global data to be stored to memory. This is where knowing the kernel temporaries and dependencies pays. Internally, a stream processor features some clever communication and management circuits but what's interesting is the Stream Register File (SRF). This is ...
Microsoft, a tech company historically known for its opposition to the open source software paradigm, turned to embrace the approach in the 2010s.From the 1970s through 2000s under CEOs Bill Gates and Steve Ballmer, Microsoft viewed the community creation and sharing of communal code, later to be known as free and open source software, as a threat to its business, and both executives spoke ...
Redis popularized the idea of a system that can be considered a store and a cache at the same time. It was designed so that data is always modified and read from the main computer memory, but also stored on disk in a format that is unsuitable for random data access.
Distributed stream processing framework. Apache Shiro: Java security framework that performs authentication, authorization, cryptography, and session management. Apache Sling: Web framework for the Java platform designed to create content-centric applications on top of a JSR-170-compliant (a.k.a. JCR) content repository such as Apache Jackrabbit.
Log4j 2 added Appenders that write to Apache Flume, the Java Persistence API, Apache Kafka, NoSQL databases, Memory-mapped files, Random Access files [23] and ZeroMQ endpoints. Multiple Appenders can be attached to any Logger, so it's possible to log the same information to multiple outputs; for example to a file locally and to a socket ...
Files-11 – early versions were record-oriented; support for "streams" was added later Michigan Terminal System (MTS) – provides "line files" where record lengths and line numbers are associated as metadata with each record in the file, lines can be added, replaced, updated with the same or different length records, and deleted anywhere in ...