GlassFlow raises $4.8 million to enable Python programmers to create event-driven data pipelines in a matter of minutes.
GlassFlow, a Berlin-based startup empowering information groups to construct event-driven information pipelines in Python inside minutes, has raised $4.8 million in seed financing. The circular was driven by Forthright Ventures, with cooperation from High-Tech GründeGlassFlow, a Berlin-based startup empowering information groups to construct event-driven information pipelines in Python inside minutes, has raised $4.8 million in seed financing. The circular was driven by Forthright Ventures, with cooperation from High-Tech Gründerfonds (which as of late sponsored ABH Optics and autarkize), Robin Capital, TinyVC, the CEO of Weaviate and driving administrators at Fivetran, dbt Labs and Redis.
With its unused financing, the company will proceed growing its platform’s capabilities, counting empowering information changes like stateful capacities, chaining, and information ancestry, and giving clients the adaptability to have GlassFlow on their possess cloud framework.
What challenge does it tackle?
Event-driven information pipelines are fundamental for AI assignments like real-time proposals, prescient support, and energetic estimating, but they’re complex to construct and keep up. Midsize companies require 6-9 months to actualize these, with information engineers investing half their time on upkeep. Numerous instruments are Java- and Scala-based, driving Python designers to construct wasteful, hard-to-maintain arrangements, in spite of Python’s ubiquity for information processing.
GlassFlow streamlines this handle for Python designers, decreasing setup time, bringing down upkeep costs, and speeding up venture delivery.
Helps Python developers
Founded in 2023 in Berlin by Armend Avdijaj and Ashish Bagri with over a decade of encounter building information items, GlassFlow was planned to meet the needs of Python engineers. Python has a showcase share of more than 25% and is the most well-known programming dialect around the world. It has ended up the go-to dialect for information preparing due to its effortlessness and solid community.
GlassFlow gives a completely overseen spilling stage, empowering engineers to make information pipelines without foundation hassles. With serverless execution, built-in connectors, and programmed setup, groups can construct end-to-end pipelines in minutes.
GlassFlow underpins AI applications, real-time handling infra, and IoT utilize cases. It permits groups to center on advancement or maybe than framework administration. To date, more than 60 companies have utilized GlassFlow, counting information engineers from Babbel, Deloitte, and Juro.
“Our mission is to give the easiest, most effective stage for Python engineers to construct information spilling pipelines,” said Armend Avdijaj, Co-Founder and CEO of GlassFlow. “By making information spilling open for little to mid-size information groups and associations, GlassFlow can spare clients hundreds of thousands of dollars in the prepare. We point to switch information engineers’ center from building the infra to investing time making esteem for the businesses.”
“What drew me to Armend and Ashish is their center on tending to a keyhole in the advertise for a more user-friendly, adaptable spilling solution,” said Kevin Zhang, Accomplice at Forthright Ventures. “As Python proceeds to rule the cutting-edge information biological system, GlassFlow is well-positioned to enable another era of designers, giving them the instruments they require to open the full potential of event-driven pipelines.”
source: techfundingnews