Enterprises Plan to Deploy More Streaming Apps in 2018
Updated · Dec 22, 2017
Stream processing technology that takes flows of data and enables use by apps was a strong trend in 2017 that will continue into 2018.
There are multiple ways that organizations can use stream processing with different services and open-source projects as well. Among them is the Apache Flink project. Apache Flink is an open-source stream processing framework for distributed, high-performing, always-available and accurate data-streaming applications. The project reaches its 1.4.0 milestone on Dec. 12.
On Dec. 19, the second annual Apache Flink user survey, based on responses from 217 IT leaders across 28 countries, was released by data Artisans.
“Global companies such as Alibaba, ING, Netflix, SK Telecom, Telefonica and Uber use Flink as the stream processing platform of choice for large-scale stateful applications that manage high volumes of data,” dataArtisans stated in a release. “One quarter of respondents are processing at least 1 billion events per day, with 1 percent processing at least 1 trillion events per day.”
“This year’s survey presents clear evidence that stream processing is becoming widely adopted across enterprises of all sizes and in a variety of industries outside of technology, with financial services, insurance, real estate and telecommunications leading the pack,” Kostas Tzoumas, co-founder and CEO of data Artisans and a PMC member of Apache Flink, stated.
While the existing volume of Flink streaming usage is already high, the volume of events is expected to grow in 2018, as 62 percent of respondents said they plan to deploy one to five more applications with Flink in the coming year.
“The market is expected to reach upwards of $13 billion USD by 2021, and we’re seeing a range of new applications being put into production, including machine learning, security and fraud detection, systems monitoring and Internet of Things,” Tzoumas added.
Sean Michael Kerner is a senior editor at Enterprise Apps Today and InternetNews.com. Follow him on Twitter @TechJournalist.