GlassFlow will democratize the $15b data streaming market, backed by top investors

Data streaming is one of the biggest growing markets benefiting from the adoption of new technologies. Big data, IoT, and AI generate continuous data, but organizations lack the infrastructure expertise to harness it. The Berlin-based startup secured $1,1m for their streaming infrastructure solution to democratize data streaming. The company works closely with Python developers who want to become more self-sufficient when creating their use cases.

(Berlin, Germany) GlassFlow raised their funding from top industry experts like Thomas Dohmke (CEO of GitHub), Heikki Nousiannen (CTO of Aiven), Serhii Sokolenko (ex-head of Streaming Analytics at Google) and Prof. Dr.-Ing Roland Fassauer (Co-founder of Intershop). The round was led by High-Tech Gründerfonds, Robin Capital, TinyVC and Roosh Ventures.

When it comes to data streaming, organizations are using complex tech systems to meet user expectations. The challenges of constructing and managing event-driven data pipelines often require substantial data engineering efforts, hindering the adaptability of applications.

The founders of GlassFlow (Ashish Bagri and Armend Avdijaj) are building a platform that enables Python developers in those companies to build and transform their streaming data pipelines within minutes. The platform includes an easy-to-use setup that scales automatically with the performance needs of the pipelines and a serverless transformation engine that allows users to define applications as functions and events.

GlassFlow's mission is to democratize real-time data processing, helping organizations of all sizes and Python engineers from diverse backgrounds unlock the full potential of streaming data. This mission is well positioned in a market worth $15.4bn and is predicted to grow to >$50bn in the following years.

One of the growth drivers of the market is the adoption of AI. A relevant factor that the CEO of GitHub and Angel Investor of GlassFlow, Thomas Dohmke, confirms. He said, "we are on the cusp of a new industrial revolution spearheaded by artificial intelligence, and at its heart lies one crucial element: data. What makes GlassFlow’s product exciting is that modern companies, across all sectors, are rapidly recognizing that data is not just an asset but a fundamental building block to their success. It's through this vital resource that systems and teams learn, adapt, innovate, and provide unprecedented value, driving efficiencies and creating new opportunities. GlassFlow offers the tools to harness this data, so I am excited to be part of GlassFlow's journey, building the best data streaming pipeline.”

The GlassFlow team collaborates closely with Python developers to build their product along the user needs. This is an approach that Heikki Nousiainen, CTO/co-founder of and Angel Investor at GlassFlow is sharing with them. He added: “Business success is measured through the ability to understand and make sense of the market and the speed in adjusting and adapting to the customer requirements. At the heart of the successful and modern business is the ability to collect, process and distill data into insights and information. I'm excited to be part of GlassFlow's journey, for their efforts in helping companies to manage, control, extend, share, re-purpose and innovate on the data assets in an easily approachable form.”

Avdijaj and Bagri bring the relevant experience of building a solution to help data teams leverage their data sets. That’s one of the reasons why they attracted investors. Martin Möllmann, Senior Investment Manager of High-Tech Gründerfonds, adds: “With the ever-growing need to process data, the infrastructure to maintain such tasks must be commoditized. Armend and Ashish have built high-performing data streaming solutions and will create a new standard in terms of ease of usage and maintenance for data platforms.

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