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Hopsworks releases Hopsworks 5.0 with embedded coding agent and terminal

Source Decision Insights Record Published June 30, 2026 Companies 2
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2 companies named across 2 categories, the first article referencing Hopsworks.

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Hopsworks released Hopsworks 5.0, a unified sovereign data and AI platform built around the Coding AI and Data Stack. The update centers coding agents and a terminal inside the platform to support work across data ingestion, pipeline execution, and deployment.

Hopsworks said the release became generally available to help teams build, iterate, and operate AI pipelines across batch and real-time systems, as well as LLM-powered applications. The platform added a redesigned user interface and a Wizard-based workflow intended to produce a production-ready pipeline with a coding agent.

The platform built terminal and development containers directly into Hopsworks. It pre-installed Claude Code and Codex, allowed multiple agent sessions in parallel, and kept sessions persistent across restarts. Hopsworks also embedded an intelligent agent across platform workflows, using an LLM to generate column names and descriptions, infer primary keys and event time columns, and configure ingestion schedules when connecting external data sources.

Hopsworks 5.0 added native SQL query capabilities powered by Trino and a dashboarding layer via Apache Superset, with options to export results as PDFs or PNGs. It expanded data integration through mounting external tables without copying data and ingesting data using DLTHub on a configurable schedule, added column-level access control for selected columns from feature groups, and enhanced the model registry with direct imports from Hugging Face. “Hopsworks 5.0 is our most ambitious release yet. It is a big step in moving Hopsworks from a MLOps platform to an AI Lakehouse, with support now for dashboards at scale, a new query engine, Trino, and native Apache Iceberg support. But, Hopsworks 5.0 is not a me-too Lakehouse. It is a new class of AI Lakehouse powered by coding agents. The low-code and no-code tooling that dominates other Lakehouses is obsolete. Instead, we have added first class support for building and operating pipelines, agents, apps, and dashboards from a single Terminal UI (a dev container). All this as we continue to expand our lead in real-time AI, with more support for real-time transformations in RonDB.” — Jim Dowling, CEO, Hopsworks.

Press release, provided by Globe Newswire on behalf of Hopsworks. Read the original.

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