Bauplan, a new serverless data platform, launched with $7.5 million in seed funding, aiming to simplify complex data infrastructure for developers. Co-founded by industry veterans, Bauplan allows engineers to construct data-intensive applications without delving into intricate systems like Kubernetes. The platform leverages Python functions to handle large datasets in object storage, enhancing productivity with git-like operations and CI/CD workflows. Positioned for high-demand sectors, Bauplan targets improvements in application building speed and efficiency, ultimately minimizing reliance on specialized data teams and enabling a broader range of engineers to tackle machine learning and AI applications.
Bauplan transforms data infrastructure like DevOps did a decade ago, enabling engineers to manage complex data applications without specialized teams.
Bauplan's Lambda-like experience removes the complexity of tools like Spark, allowing software engineers to take on data engineering challenges efficiently.
With Bauplan, developers can process large datasets seamlessly while integrating CI/CD workflows, significantly speeding up application development.
The platform supports modern data operations like Iceberg tables and automatic versioning, catering to industries like finance, healthcare, and media.
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