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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 July 4, 2026·Updated July 4, 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.

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.

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