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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 Flink is an open-source, unified stream-processing and batch-processing framework developed by the Apache Software Foundation. The core of Apache Flink is a distributed streaming data-flow engine written in Java and Scala. [3] [4] Flink executes arbitrary dataflow programs in a data-parallel and pipelined (hence task parallel) manner. [5]
The second generation uses the pull mode in data transportation, and file system in data storage. It paid more attention to stability and reliability, and shows a comparable performance to the first generation in response time and Kafka on log collection. The third generation combines the Pull mode with some Push operations.
Volt Active Data (formerly VoltDB) is an in-memory database designed by Michael Stonebraker, Sam Madden, and Daniel Abadi.. It is an ACID-compliant RDBMS that uses a shared-nothing architecture, and is derived from work done by Stonebraker on OLTP system performance [1] and optimization.
RabbitMQ is an open-source message-broker software (sometimes called message-oriented middleware) that originally implemented the Advanced Message Queuing Protocol (AMQP) and has since been extended with a plug-in architecture to support Streaming Text Oriented Messaging Protocol (STOMP), MQ Telemetry Transport (MQTT), and other protocols.
The observer design pattern is a behavioural pattern listed among the 23 well-known "Gang of Four" design patterns that address recurring design challenges in order to design flexible and reusable object-oriented software, yielding objects that are easier to implement, change, test and reuse.
The UKV [45] project allows users to use RocksDB on par with LevelDB as the underlying key-value store. It represents a shared abstraction for create, read, update and delete (CRUD) operations common to every storage engine. It augments it with structured bindings for several high-level languages, including Python, Java, and Go.
Message-oriented middleware is in contrast to streaming-oriented middleware where data is communicated as a sequence of bytes with no explicit message boundaries. Note that streaming protocols are almost always built above protocols using discrete messages such as frames ( Ethernet ), datagrams ( UDP ), packets ( IP ), cells ( ATM ), et al.