Hopsworks AI Lakehouse

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What Hopsworks AI Lakehouse is

Hopsworks AI Lakehouse is a platform for building batch, real-time, and LLM AI systems on open standards. It supports Apache Iceberg, Delta Lake, and Apache Hudi, and streaming feature pipelines connect to a low-latency serving database with sub-second feature freshness. Its Query Service transfers data to Python clients using Arrow and supports temporal joins, pushdown filters, credential vending, and reproducible training-data creation. For LLM workflows, teams can query Lakehouse data from prompts, integrate vector search for retrieval-augmented generation, and create instruction datasets for fine-tuning while maintaining data governance. Feature, training, and inference pipelines cover batch, streaming, real-time, and LLM workflows, with trained models output to a model registry. Deployment choices include managed SaaS, managed Kubernetes on AWS, Azure, or GCP, and air-gapped data centres. Security features include encryption at rest and in transit, project-based access controls, audit logs, 2FA, and SSO. The free plan costs nothing and includes one project, Feature Store, Model Registry, and community support.

Who it suits

The platform suits developers, data scientists, platform engineers, security engineers, and administrators working on AI systems. The free tier provides a one-project starting point, while SaaS and Enterprise plans cover additional deployment and support options.

What it does well

Supports three open table formats
Streaming features have sub-second freshness
Free plan includes Feature Store and Model Registry
Offers managed and air-gapped deployment options

What to know first

Free plan is limited to one project
SaaS uses usage-based pricing
Enterprise pricing is custom

Limits

The Free plan allows one project and includes Feature Store, Model Registry, and community support. Model Serving and unlimited projects are included in SaaS; dedicated support, air-gapped deployment, and a guaranteed SLA are Enterprise features.

Plans

Plan	Billed and limits	Price
Free	1 project · Feature Store + Model Registry · Community support · No credit card required	Free
SaaS	Pay as you go · Unlimited projects · Feature Store + Model Registry · Model Serving · Usage-based pricing · Community support · Platform SLA	On request
Enterprise	Custom · All SaaS features · On-premise & air-gapped · Dedicated support team · Custom integrations · SLA guaranteed	On request

As hopsworks.ai lists them, read 3 Oct 2026. The maker's own page has the final word.

Getting started

Open the Hopsworks AI Lakehouse product page.
Choose the Free, SaaS, or Enterprise plan for your deployment needs.
Use the Free plan without a credit card, or choose SaaS pay-as-you-go pricing.
For Kubernetes deployment, use Kubernetes 1.27 or higher; a minimum of 4–5 nodes is recommended.
Connect supported systems such as Airflow, Spark, or Snowflake, or use the Python Query Service.

Verdict

Hopsworks AI Lakehouse brings data storage, feature pipelines, and AI workflows together across batch, streaming, and LLM use cases. Its free tier is limited to one project, while expanded plans use usage-based or custom pricing.

Questions

Is Hopsworks AI Lakehouse free?

Yes. The Free plan costs nothing and includes one project, Feature Store, Model Registry, and community support. No credit card is required.

What platforms does it support?

Listed platforms are API, Linux, self-hosted, and web. Deployment options include managed SaaS, managed Kubernetes in AWS, Azure, or GCP, and air-gapped data centres.

What data formats does it support?

It natively supports Apache Iceberg, Delta Lake, and Apache Hudi.

Which integrations are listed?

Listed integrations include Airflow, Apache Flink, Databricks, Snowflake, AWS SageMaker, Spark, Vertex AI, and Weights & Biases.

What are the SaaS and Enterprise prices?

The SaaS plan is billed pay as you go with usage-based pricing; no price is listed. Enterprise is billed custom, and no price is listed.

What support comes with each plan?

Free and SaaS include community support. Enterprise includes a dedicated support team and guaranteed SLA.

Facts from Hopsworks AI Lakehouse's own pages

AI pipelines: Its feature, training, and inference pipelines support batch, streaming, real-time, and LLM AI workflows, with trained models output to a model registry. · hopsworks.ai, 3 Oct 2026
Compliance: The security page lists ISO 27001 and SOC 2 Type 2 certification and states that Hopsworks is GDPR compliant. · hopsworks.ai, 3 Oct 2026
Deployment: The documentation describes managed SaaS and deployments on managed Kubernetes in AWS, Azure, or GCP, as well as air-gapped data centres. · docs.hopsworks.ai, 3 Oct 2026
Deployment requirements: The Kubernetes installer page lists Kubernetes 1.27 or higher and recommends a minimum of 4–5 nodes. · hopsworks.ai, 3 Oct 2026
Founded: 2017 · hopsworks.ai, 28 Sept 2026
Headquarters: Stockholm, Sweden · hopsworks.ai, 28 Sept 2026
Integrations: Listed integrations include Airflow, Apache Flink, Databricks, Snowflake, AWS SageMaker, Spark, Vertex AI, and Weights & Biases. · hopsworks.ai, 3 Oct 2026
Intended users: The documentation identifies developers, data scientists, platform engineers, security engineers, and administrators as user paths for the platform. · docs.hopsworks.ai, 3 Oct 2026
LLM workflows: The platform supports querying Lakehouse data from LLM prompts, vector search integration for RAG, and instruction dataset creation for fine-tuning while maintaining data governance. · hopsworks.ai, 3 Oct 2026
Purpose: Hopsworks describes its AI Lakehouse as a platform for building batch, real-time, and LLM AI systems on open standards. · hopsworks.ai, 3 Oct 2026
Python query service: Hopsworks Query Service uses Arrow-native transfer to Python clients and supports temporal joins, pushdown filters, credential vending, and reproducible training data creation. · hopsworks.ai, 3 Oct 2026
Real-time features: The product page says streaming feature pipelines connect to a low-latency serving database and provide sub-second feature freshness. · hopsworks.ai, 3 Oct 2026
Security: Hopsworks says it encrypts data at rest and in transit and provides project-based access controls, audit logs, and authentication options including 2FA and SSO. · hopsworks.ai, 3 Oct 2026
Support: The Free and SaaS pricing tiers include community support, while Enterprise includes a dedicated support team and guaranteed SLA. · hopsworks.ai, 3 Oct 2026
Table formats: It natively supports Apache Iceberg, Delta Lake, and Apache Hudi. · hopsworks.ai, 3 Oct 2026