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07.11.2025 | Tech and Business News

Python data tool dltHub lands $8M seed funding

dltHub is focused on empowering Python users with data autonomy

dltHub is focused on empowering Python users with data autonomy. © dltHub

Berlin and New York-based dltHub has secured $8 million in seed funding led by Bessemer Venture Partners to accelerate development of its open-source Python library that's transforming how developers handle data.

According to a report on LeadsOnTrees, the company has built a tool called dlt (data load tool) that allows Python developers to turn messy, unstructured data into regularly updated datasets directly within their scripts. Think of it as a universal translator for data: developers can move information from Google Cloud Storage to Amazon S3 or a data warehouse in minutes, without needing specialized knowledge for each platform.

The tool has gained significant traction, reaching 3 million monthly downloads and powering data workflows for more than 5,000 companies across regulated industries like finance, healthcare, and manufacturing. In September alone, users created over 50,000 custom connectors using the library—a 20-fold increase since January.

What makes dltHub particularly powerful is its compatibility with AI coding assistants. Developers are using tools like ChatGPT alongside dlt's well-documented library to build production-ready data pipelines that would have previously required entire teams of infrastructure engineers, DevOps specialists, and data engineers.

The company was founded by data and machine learning veterans and has previously received backing from investors including Dig Ventures and technical founders from companies like Hugging Face, Instana, Matillion, Miro, and Rasa.

The fresh capital will fund development of the core open-source library while expanding dltHub's engineering and community support teams. The company is also building a cloud-hosted platform that will allow developers to deploy pipelines with a single command, making data engineering accessible to any Python developer.


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