The Berlin-based startup GlassFlow, which develops a unique data management platform to facilitate the work of Python engineers, has secured $1.1 million in pre-seed funding. Among the investors are High-Tech Gründerfonds, Robin Capital, TinyVC, and the Ukrainian venture fund Roosh Ventures. Angel investors in this round include Thomas Dönne, CEO of GitHub, and Heikki Nousiainen, the co-founder and CTO of Aiven.
This is mentioned in the Roosh Ventures press release. It reports that GlassFlow is working on a solution that allows Python engineers to create and modify their pipelines within minutes.
The platform includes simple configurations that automatically scale according to the computational needs of pipelines, as well as a serverless transformation module that enables users to define applications as functions and events. GlassFlow actively collaborates with various Python engineers, taking their advice into account for improving its own platform.
"Demand for real-time data processing is growing rapidly, and GlassFlow's innovative approach is changing the rules of the game. Complex tools are consolidated into a simple platform, significantly simplifying the work for developers," commented Andriy Tymovsky, a junior partner at Roosh Ventures.
According to him, GlassFlow is led by Armand and Ashish, who have more than 10 years of experience working in real-time data processing.
The stream data analytics market is worth over $15 billion, and it is projected to reach over $50 billion by 2026. It is claimed that with its data processing platform, GlassFlow has the potential to become a key player in this market.
"Our vision is a world where data engineers, regardless of their experience and education, can easily harness the power of data streaming to drive innovation and growth. By simplifying data infrastructure and fostering an ecosystem based on real data, GlassFlow aims to be a catalyst for this transformation," said Armend Avdia, CEO of GlassFlow.
