Databricks – the 'data lakehouse' startup – has acquired 8080 Labs, the German firm behind the GUI for the Pandas data analysis tool that enables users to navigate their findings without the need to write code or be a trained data scientist.

8080 Labs’ systems will be integrated into Databricks’ Lakehouse platform upon acquisitions close, the company said. The purchase will allow Databricks to expand its own no-code AI options.

“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,” said Ali Ghodsi, co-founder and CEO of Databricks.

“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.”

Lowering the barrier to entry

“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,” said Tobias Krabel, co-founder of 8080 Labs.

“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.”

8080 Labs hadn’t raised any outside funding prior to the sale.

Meanwhile, Databricks was founded in 2013 and has gone on to raise $3.5bn across eight funding rounds. It's most recent Series H saw the startup securing $1.6 billion in September— led by Morgan Stanley's Counterpoint Global.

The company was founded by a team of academics that met at Berkeley, who would go on to become the original authors of the Apache Spark software. A decade later, their open source cluster computing engine has become the de-facto standard for handling large datasets.

Databricks’ lakehouse framework keeps both structured and unstructured data in a single place. Core to this strategy is the Delta Lake product, but the company has other product lines, including the MLFlow platform for developing ML systems.

The startup enjoys partnerships with each of the top three cloud providers to run its platform on top of theirs.

Earlier this year, CEO Ghodsi told Fortune that Databricks was 'IPO-ready,' but did not share a timeline as to when it planned to go public.

It did not disclose the price of its latest acquisition.