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Hopsworks 5.0

by Hopsworks (Logical Clocks)

Data & AnalyticsInfrastructure & CloudDeveloper ToolsAI Agents & Orchestration

A sovereign AI Lakehouse with coding agents embedded, unifying data, analytics, and AI in one platform.

Contact for pricing·Added Jul 5, 2026·Updated Jul 5, 2026
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THE DAILY BRIEF
Hopsworks 5.0

by Hopsworks (Logical Clocks)

Data & AnalyticsInfrastructure & CloudDeveloper ToolsAI Agents & Orchestration

A sovereign AI Lakehouse with coding agents embedded, unifying data, analytics, and AI in one platform.

Contact for pricing

Hopsworks 5.0 is a sovereign AI Lakehouse that combines a feature store, model registry, and vector database with embedded coding agents (Claude Code and Codex) and a built-in terminal, so teams can go from raw data to production pipelines in one platform. It targets data and ML teams in regulated, sovereignty-sensitive organizations building batch, real-time, and agentic AI systems.

At a Glance

Category
Data & Analytics
Pricing
Contact for pricing
Target Market
Data Scientists, ML Engineers, Data Engineers, CTOs, Heads of AI
Founded
2018
Headquarters
Stockholm, Sweden

Key Features

  • Embedded coding agents
  • AI Lakehouse core
  • Native SQL and dashboards
  • Sovereign and air-gapped deployment
  • Broad data integration

Capabilities

text generation
image generation
video generation
code generation
workflow automation
api access
audio generation
fine tuning
agent orchestration

Use Cases

  • Real-time ML feature serving
  • Agentic AI development
  • Sovereign AI for regulated sectors

Ideal For

Best For

  • Building batch, real-time, and agentic AI on one AI Lakehouse
  • Sovereign and air-gapped ML for regulated organizations
  • Feature store, model registry, and vector search in a single platform

Market Analysis

Enterprise-gradeSovereign AI Lakehouse

Pros

  • Coding agents and terminal reduce fragmented tooling
  • Strong sovereignty and air-gapped deployment story
  • Unified feature store, model registry, and vector database

Cons

  • Newly released 5.0 with capabilities still maturing
  • Pricing is not publicly listed

Pricing

Hopsworks SaaS / Enterprise

Contact for pricing

  • Cloud SaaS, on-premises, or air-gapped deployment
  • Feature store, model registry, and vector database
  • Embedded coding agents

Pricing is not published in the launch materials; Hopsworks offers SaaS, on-premises, and air-gapped deployment options.

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Hopsworks 5.0 is a sovereign AI Lakehouse that combines a feature store, model registry, and vector database with embedded coding agents (Claude Code and Codex) and a built-in terminal, so teams can go from raw data to production pipelines in one platform. It targets data and ML teams in regulated, sovereignty-sensitive organizations building batch, real-time, and agentic AI systems.

Announced on June 30, 2026, Hopsworks 5.0 is described by the company as its largest release to date, introducing the 'Coding Data and AI Stack' that embeds a full coding agent and terminal (pre-loaded with Claude Code and Codex) directly inside the platform so developers can describe what they want to build and have the system handle ingestion through to deploying production dashboards and inference pipelines. At its core is an AI Lakehouse that unifies a feature store, model registry, and vector database across the full lifecycle from data ingestion to batch, real-time, and agentic inference. The 5.0 release adds native SQL querying via Trino, a dashboarding layer via Apache Superset, 'The Wizard' guided pipeline setup, Platform Intelligence that uses LLMs to configure data sources, column-level access control, model imports from Hugging Face, real-time transformations via RonDB, and expanded connectors to Databricks, Snowflake, BigQuery, MongoDB, and SAP HANA. As a European-founded sovereign AI platform, Hopsworks runs as SaaS, on-premises, or in air-gapped deployments (with GPU and distributed training via Ray and Spark), serving organizations such as Zalando that require data sovereignty and regulatory compliance.

At a Glance

Category
Data & Analytics
Pricing
Contact for pricing
Target Market
Data Scientists, ML Engineers, Data Engineers, CTOs, Heads of AI
Founded
2018
Headquarters
Stockholm, Sweden

Key Features

  • Embedded coding agents

    A full coding agent and terminal built into the platform, pre-loaded with Claude Code and Codex, to build pipelines from a natural-language description.

  • AI Lakehouse core

    A unified feature store, model registry, and vector database covering batch, real-time, and agentic inference.

  • Native SQL and dashboards

    Run exploratory SQL via Trino and build shareable dashboards via Apache Superset without leaving the platform.

  • Sovereign and air-gapped deployment

    Runs as SaaS, on-premises, or air-gapped for organizations with data-sovereignty and regulatory requirements.

  • Broad data integration

    Connectors to Databricks, Snowflake, BigQuery, MongoDB, and SAP HANA, plus model imports from Hugging Face and real-time transformations via RonDB.

Capabilities

text generation
image generation
video generation
code generation
workflow automation
api access
audio generation
fine tuning
agent orchestration

Use Cases

  • Real-time ML feature serving

    Manage online and offline features with sub-second retrieval for production models.

  • Agentic AI development

    Use embedded coding agents to build data and inference pipelines end to end inside the platform.

  • Sovereign AI for regulated sectors

    Deploy on-premises or air-gapped to keep sensitive data within compliance boundaries.

Ideal For

Best For

  • Building batch, real-time, and agentic AI on one AI Lakehouse
  • Sovereign and air-gapped ML for regulated organizations
  • Feature store, model registry, and vector search in a single platform

Integrations

SDK Available
SDK:Python

Deployment

On-Premise

Market Analysis

Enterprise-gradeSovereign AI Lakehouse

Pros

  • Coding agents and terminal reduce fragmented tooling
  • Strong sovereignty and air-gapped deployment story
  • Unified feature store, model registry, and vector database

Cons

  • Newly released 5.0 with capabilities still maturing
  • Pricing is not publicly listed

Pricing

Free Trial Available

Hopsworks SaaS / Enterprise

Contact for pricing

  • Cloud SaaS, on-premises, or air-gapped deployment
  • Feature store, model registry, and vector database
  • Embedded coding agents

Pricing is not published in the launch materials; Hopsworks offers SaaS, on-premises, and air-gapped deployment options.

Sources

This page was written from 2 sources, 1 on domains other than hopsworks.ai.

  1. 1.globenewswire.comreleasing hopsworks 5 0 introducing the coding data and ai s
  2. 2.hopsworks.ainewsvendor
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