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SAN FRANCISCO — Databricks acquired the German low-code/no-code startup 8080 Labs to expand its lakehouse platform to citizen data scientists.
8080 Labs is the maker of bamboolib, a UI-based data science tool that enables data exploration and transformation in “a matter of clicks, not code,” according to Databricks last month.
The terms of the deal were not disclosed.
The new UI-driven capabilities will be integrated across Databricks’ Lakehouse Platform, marking the company’s expansion into the low-code/no-code space.
The strategic acquisition broadens the accessibility of Databricks’ lakehouse to a wider audience, enabling further “democratization of data” and artificial intelligence (AI) throughout the enterprise.
See more: Data Lake vs. Data Warehouse
“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,” said Ali Ghodsi, co-founder and CEO, Databricks.
“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.”
The acquisition of 8080 Labs combined with Databricks’ “glass-box” approach to AutoML empowers users to perform comprehensive data tasks, from data analysis and data transformation to machine learning (ML) workflows.
The platform automatically generates high-quality code behind the scenes, allowing data teams to put their key findings and results to work without added demand on engineers to “reimplement the process for production.”
“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.”
See more: Top 15 Data Warehouse Tools
