Databricks Acquires Low-code/No-code Startup 8080 Labs

8080 Labs' flagship product empowers citizen data scientists with no-code workflows

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Databricks Acquires Low-code/No-code Startup 8080 Labs
Data & AnalyticsLatest News

Published: October 26, 2021

Sandra Radlovački

Sandra Radlovački

Data and AI company Databricks has announced the acquisition of a German startup, 8080 Labs.

8080 Labs is the maker of bamboolib, a popular UI-based data science tool that enables fast and easy data exploration and transformation with a matter of clicks, not code.

The new UI-driven capabilities will be integrated across Databricks’ Lakehouse Platform, marking the company’s expansion into the low-code/no-code space. This strategic acquisition broadens the accessibility of its lakehouse platform to a wider audience of citizen data scientists and data team personas, enabling further democratisation of data and AI throughout the enterprise.

8080 Labs’ flagship product, bamboolib, empowers citizen data scientists with no-code workflows while seamlessly integrating with the Python ecosystem and generating production-ready code behind the scenes. Databricks plans to integrate the no-code capabilities with its new AutoML, visualization, and dashboard offerings to extend simple, UI-based features across its lakehouse platform, making Databricks more accessible and easy-to-use for both experts and citizen data scientists alike.

Ali Ghodsi, Co-Founder and CEO of Databricks, said: “We are thrilled to welcome 8080 Labs to the team as we accelerate the adoption and accessibility of lakehouse as the data architecture of the future.”

“Together with last year’s acquisition of Redash, we are broadening the focus of our user base to a wider audience that prefers low-code/no-code solutions. Bringing simple capabilities to Databricks is a critical step in empowering more people within an organization to easily analyze and explore large sets of data, regardless of expertise.”

Tobias Krabel, Co-Founder of 8080 Labs, said: “We founded 8080 Labs to bring simplicity to complex data tasks and make the power of data science and machine learning accessible to data teams of any skill set.”

“With open-source roots and an incredible vision to reshape the data landscape with the lakehouse category, we see endless opportunities with Databricks and could not be more excited to join the team on this journey.”

 

 

 

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