Search results
Results From The WOW.Com Content Network
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.
JavaScript asynchronous, event-based I/O. Influenced by systems like Ruby's Event Machine, Perl's POE or Python's Twisted. Plenty of modules available. Opera: Futhark: Opera Unite JavaScript is the server-side language used to develop services for the Opera Unite feature of the Opera browser. This is a server built into the browser.
Spring Framework 4.2.0 was released on 31 July 2015 and was immediately upgraded to version 4.2.1, which was released on 01 Sept 2015. [14] It is "compatible with Java 6, 7 and 8, with a focus on core refinements and modern web capabilities". [15] Spring Framework 4.3 has been released on 10 June 2016 and was supported until 2020. [16]
library that enables Java on the server and JavaScript in a browser to interact and call each other as simply as possible. EclipseLink: Java persistence solution addressing relational, XML, and database web services. EHCache: Ehcache is an open source, standards-based cache that boosts performance, offloads your database, and simplifies ...
Help; Learn to edit; Community portal; Recent changes; Upload file; Special pages
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.
Hudi: provides atomic upserts and incremental data streams on Big Data; Iceberg: an open standard for analytic SQL tables, designed for high performance and ease of use. Ignite: an In-Memory Data Fabric providing in-memory data caching, partitioning, processing, and querying components [8] Impala: a high-performance distributed SQL engine
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 ...