Coralogix Israeli Data Streaming Startup Raises $55 Million
Israeli streamlining analytics startup Coralogix raised $55 million in a Series C funding round, led by New investor Greenfield Partners with participation from Red Dot Capital Partners, StageOne Ventures, Eyal Ofer’s – O.G. Tech, Janvest Capital Partners, Maor Investments, and 2B Angels. This round brings Coralogix total funding to $96 million to date.
Coralogix now has a company valuation of $300 to $400 million.
Founded in 2014, Coralogix helps software companies avoid getting lost in their log data by automatically figuring out their production problems. The company says that they machine learning powered platform turns “your cluttered log data into a meaningful set of templates and flows. View patterns and trends, and gain valuable insights to stay one step ahead at all times!”
Streaming analytics software is used to allow the monitoring and real-time analysis of integration data as it moves between applications. This is done so that users can be provided with actionable analytical insights.
This is what is known as a DevOps tool. IBM explains that a DevOps tools approach to agile software development helps developers and operations teams build, test, deploy and monitor applications with speed, quality and control. Successful DevOps software implementations generally rely on an integrated set of solutions, or a toolchain, to remove manual steps, reduce errors, increase team agility and scale beyond small, isolated teams.
“Real-time insights and trend analysis for logs, metrics, and security data with no reliance on storage or indexing.”
“The exponential growth of data is preventing companies from achieving full coverage,” said Ariel Assaraf, CEO of Coralogix. “We address this challenge through our stateful streaming analytics technology, which enables our users to decide how their data goes through our processing pipelines, enabling storage-free insights.”
Yoni Farin, Coralogix CTO, adds, “Our mission is to make raw data obsolete. This round of funding will help us further our storage-free vision, supporting the exponential nature of software.”