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Confluent, Inc. is an American technology company headquartered in Mountain View, California. Confluent was founded by Jay Kreps, Jun Rao and Neha Narkhede on September 23, 2014, in order to commercialize an open-source streaming platform Apache Kafka , created by the same founders while working at LinkedIn in 2008 as a B2B infrastructure company.
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.
Neha Narkhede (born 1984 or 1985 [1]) is an American technology entrepreneur and the co-founder and former CTO of Confluent, a streaming data technology company. She co-created the open source software platform Apache Kafka. Narkhede now serves as a board member of Confluent.
2.0.1.9 Project Jumper 2008 Kafka: Confluent Data streaming processing 2.3.0 Apache Kafka: 2011 Kaltura: Kaltura Video and rich media management platform and applications dual-licensed under AGPL, and commercial license, provided as self hosted and SaaS 6.0 (Falcon) Kaltura 2012 Kea DHCP: Internet Systems Consortium: DHCPv4 and DHCPv6 server ...
In November 2014, Vishria led Benchmark's investment in Confluent, an open-source data platform built around Apache Kafka. [ 11 ] In 2015, he led Benchmark’s investments in Bugsnag, [ 12 ] an automated crash-detection platform, and Amplitude, [ 13 ] a provider of mobile and Web-based analytics that tracks user behavior.
Kafka, a data streaming service under the Apache 2.0 license, is the open-source core to the company, Confluent, which issues a Confluent Community License, a source-available license that governs additional features in the Confluent Platform. [9]
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.
The landscape for instant messaging involves cross-platform instant messaging clients that can handle one or multiple protocols. [1] Clients that use the same protocol can typically federate and talk to one another.