Hopsworks AI Lakehouse vs Jozu Hub
Hopsworks AI Lakehouse
hopsworks.aiJozu Hub
jozu.comSide by side
| Figure | Hopsworks AI Lakehouse | Jozu Hub |
|---|---|---|
| Price from | Free | Free |
| Free plan | Yes | Yes |
| Free trial | — | Yes |
| Open source | — | — |
| Web | Yes | Yes |
| Linux | Yes | — |
| API | Yes | Yes |
| Self-hosted | Yes | Yes |
| Plans published | 3 | 2 |
| Spec score · Model Registry Software | 8.0 (#5) | 7.8 (#8) |
| Spec score · Model registries | 8.2 (#11) | 8.0 (#12) |
| Deployment | The documentation describes managed SaaS and deployments on managed Kubernetes in AWS, Azure, or GCP, as well as air-gapped data centres. | Hub is available as a hosted Sandbox or as self-hosted software for on-premises and private-cloud deployment. |
| Integrations | Listed integrations include Airflow, Apache Flink, Databricks, Snowflake, AWS SageMaker, Spark, Vertex AI, and Weights & Biases. | Jozu says Hub is commonly accessed from CI/CD systems such as GitHub Actions and GitLab, and experiment trackers such as MLflow. |
| Intended users | The documentation identifies developers, data scientists, platform engineers, security engineers, and administrators as user paths for the platform. | Jozu describes its customers as enterprises, regulated industries, and governments, including teams operating in air-gapped environments. |
| Purpose | Hopsworks describes its AI Lakehouse as a platform for building batch, real-time, and LLM AI systems on open standards. | Jozu Hub is a registry for models, agents, MCPs, and skills that verifies artifacts before they run and supports governance and auditability. |
| Support | The Free and SaaS pricing tiers include community support, while Enterprise includes a dedicated support team and guaranteed SLA. | The pricing page lists Discord community support for Sandbox and email plus Slack support for Enterprise. |
Plans
Hopsworks AI Lakehouse
- FreeFree
- EnterprisePriced on request
- SaaSPriced on request
In their own words
Hopsworks AI Lakehouse
Hopsworks AI Lakehouse is a platform for building batch, real-time, and LLM AI systems using open standards. It supports Apache Iceberg, Delta Lake, and Apache Hudi, with streaming feature pipelines that feed a low-latency serving database and provide sub-second feature freshness. Its Query Service transfers data to Python clients using Arrow and supports temporal joins, filter pushdown, credential vending, and reproducible training data. For LLM workflows, teams can query lakehouse data from prompts, integrate vector search for retrieval-augmented generation, and create fine-tuning instruction datasets while maintaining data governance. Feature, training, and inference pipelines cover batch, streaming, real-time, and LLM work, with trained models sent to a model registry. Integrations include Airflow, Apache Flink, Databricks, Snowflake, AWS SageMaker, Spark, Vertex AI, and Weights & Biases. Deployment options include SaaS, managed Kubernetes on AWS, Azure, or GCP, and air-gapped data centres. The Free plan is free and includes one project, Feature Store, Model Registry, and community support; SaaS uses usage-based pricing, while Enterprise is custom-priced.
Jozu Hub
Jozu Hub is a registry for models, agents, MCPs and skills, with checks intended to verify artifacts before they run. It combines scanning with policy enforcement, Cosign signatures, OCI attestations and tamper-evident audit records. The product page describes scans across nine vulnerability classes, including malicious code, backdoored weights, data poisoning, prompt injection and license violations. Teams can compare ModelKit versions side by side and follow artifact history from experiment through production. Hub can also compose Rapid Inference Containers from a hardened base image and ModelKit at pull time, without a build step. Hub is available as a hosted Sandbox or as self-hosted software for on-premises and private-cloud use, including fully air-gapped deployment. Its MCP registry API supports centrally curated servers in clients such as VS Code, Cursor and Claude Desktop. The free Sandbox costs nothing and includes unlimited public repositories, one private repository and 250 GB of storage.