During the last IT Press Tour #57, I’ve got the opportunity to learn about a swedish company: Hopsworks presented by Jim Dowling (CEO & co-founder). Founded in 2018, Hopsworks was founded by a research team from KTH, RISE, and MySQL.

Considered the pioneering platform for data and AI, Hopsworks integrates data science, data engineering, and machine learning into a cohesive platform: an AI Lakehouse.

Traditionally there is a gap between Lakehouse and MLOPs that are not connected:

The idea is develop and deploy a unified real-time AI Lakehouse for your data to orchestrate, monitor, validate, version features and models, faster than ever in a single operational platform.

With Hopsworks solution is possible remove data silos in your organization and increase project efficiency and control through robust abstractions across projects and feature groups. Nurturing collaboration, promoting seamless feature sharing and implementation, and maintaining data traceability.

There are three different editions of Hopsworks:

• Open Source: Self service version of Hopsworks, No security, No user Management, No High Availability, Limited resources Management. Aimed at internal teams and side projects. No SLA
• Serverless: Managed Hopsworks, No compute (possible future paid options). Data is on Hopsworks infrastructure. Medium SLA.
• Enterprise: Fully Edition of Hopsworks, High Levels of SLAs and Support. Always first to access new releases and features only edition with infrastructure management tooling and support available.