Berlin-based startup GlassFlow secures $1.1M in pre-seed funding. In addition to Roosh Ventures, High-Tech Gründerfonds, Robin Capital, Aiven CTO Heikki Nousiannen, former Google head of streaming analytics Sergei Sokolenko, and Prof. Dr.-Ing Roland Fassauer, co-founder of Intershop, supported the startup during its Pre-Seed round of funding.
Event-driven data pipelines allow many of the items and services that we utilise on a daily basis to function effectively, even though it may not be a topic of discussion at the dinner table or something you or I think about on a regular basis.
A potential application for event-driven data pipelines is the open-source Kafka Apache system, which was developed by the Apache Software Foundation and initially made available in 2011.
GlassFlow seeks to transform this data-hungry process by beginning at the bottom and offering developers everywhere a more straightforward, efficient, and adaptable solution.
GlassFlow claims that its technology scales automatically to satisfy the performance needs of the pipelines and that it provides developers with a serverless conversion engine that lets them establish applications as functions and events.
Roosh Ventures principal Andrew Tymovskyi further said, “The demand for real-time data processing is skyrocketing, and Glassflow’s streamlined approach is a game-changer, By consolidating complex tools into a single platform, it empowers teams to deliver results in record time. What truly excites us is the stellar team behind Glassflow, led by Armend and Ashish, boasting over a decade of expertise in real-time data processing, with their prior collaborative successes spelling a promising journey ahead.”
To match customer expectations, organisations use sophisticated tech platforms for data streaming. Applications’ adaptability is hampered by the difficulties in creating and upholding event-driven data pipelines, which frequently call for significant data engineering work.
The goal of GlassFlow is to allow Python developers from various backgrounds and enterprises of all sizes to take full advantage of streaming data by democratising real-time data processing.
The product comes with a serverless transformation engine that allows customers define applications as functions and events, as well as an intuitive configuration that adjusts automatically to the performance requirements of the pipelines.