Développez l'apprentissage automatique prédictif avec Flink | Atelier du 18 déc. | S'inscrire
Open source, distributed, scalable and real time, KSQL is the easiest way to express continuous, interactive queries in Kafka
SAN FRANCISCO – August 28, 2017 (Kafka Summit SF) – Confluent, provider of the leading streaming platform based on Apache Kafka®, today announced KSQL, an open source streaming SQL engine that enables continuous, interactive queries on Apache Kafka. In today’s event-driven world, businesses need to respond to the continuous streams of data that are the source of truth for everything happening within the company. With KSQL, any developer that knows SQL can leverage real-time data. Unlike other stream processing engines that require complex infrastructure or mastery of various programming languages, KSQL gives the user a familiar syntax in an easy-to-manage-and-build solution, while benefiting from Kafka’s distributed, scalable and reliable development and production history.
Common examples of stream processing might include comparing two or more streams of data to understand anomalies and respond to them in real time or transforming data as it’s ingested to better suit downstream consumers. Stream processing can be used to identify fraud by financial services companies, monitor out-of-bounds system performance metrics, and much more. Other common uses include:
“Until now, stream processing has required complex infrastructure, sophisticated developers and a serious investment. Our mission is to make stream processing easily accessible so anyone can derive insights from their streams of data,” said Neha Narkhede, co-founder and CTO at Confluent. “With KSQL, stream processing on Apache Kafka is available through a familiar SQL-like interface, rather than only to developers who are familiar with Java or Python. It is the first completely interactive, distributed streaming SQL engine for Apache Kafka.”
Supporting Quotes
“With KSQL, now users can query Apache Kafka topics directly without dumping data into intermediate databases or key value stores,” said Shant Hovsepian, CTO at Arcadia Data. “This is really a game changer, as a native visual analytics tool like Arcadia Enterprise can enable users to get real-time insights using KSQL without jumping through hoops to get data landed and staged. We are pleased to partner with Confluent to support this exciting new product.”
“Real-time insights are vital for our business as they directly impact our ability to become a industry-leading digital organisation,” said Alasdair Anderson, EVP at Nordea Bank. “We are pleased that Confluent and Arcadia Data are delivering on this vision, and we look forward to integrating their innovative work within our data strategy.”
KSQL is part of Confluent Open Source and licensed under the Apache 2.0 license. Download the developer preview here: https://github.com/confluentinc/ksql.
Confluent will be attending and sponsoring Kafka Summit, the premier streaming systems event for data engineers and developers that brings the Apache Kafka community together to share best practices, write code and discuss the future of streaming technologies. Visit Confluent at booth #105 to talk all things streaming and learn more about KSQL. To watch the keynotes, visit: https://www.youtube.com/watch?v=ySf7bDBHRUQ.
Resources
About Confluent
Confluent, founded by the creators of open source Apache Kafka®, provides the only streaming platform that enables enterprises to maximize the value of data. Confluent Platform empowers leaders in industries such as retail, logistics, manufacturing, financial services, technology and media, to move data from isolated systems into a real-time data pipeline where they can act on it immediately. Backed by Benchmark, Index Ventures and Sequoia, Confluent is based in Palo Alto, California. To learn more, please visit www.confluent.io. Download Confluent Open Source at www.confluent.io/download.
Connect with Confluent
Read our blog: www.confluent.io/blog
Follow us on Twitter: www.twitter.com/confluentInc
© Confluent, Inc. 2014–2017. All rights reserved. Apache, Apache Kafka and Kafka are trademarks of the Apache Software Foundation. All other marks used are the property of their respective owners.