Manage your own Feature Store on Databricks with Hopsworks
Wednesday July 15th @8:00 PM CEST
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Health Care & Pharmaceuticals

Dynamic Role-based
Access Control

Manage Projects like Github Repositories and share Datasets like Dropbox

Hopsworks provides a new GDPR-compliant security model for managing sensitive data in a shared data platform. Hopsworks’ security model is built around Projects, which are analogous to Github repositories. A project contains datasets, users, and programs (code). Sensitive datasets can be sandboxed inside a project, and users can be assigned roles that prevent them from exporting data from the project.

Commodity Hardware for Storage and Compute

Storing large volumes of data and processing that data with lots of compute and GPUs (Graphical Processing Units) can be an expensive undertaking. Hopsworks is typically installed on commodity hardware and even commodity GPUs can be used for low cost Deep Learning.

Governance & Compliance

Hopsworks is built for Enterprises. Read the Product sheet for Hopsworks Enterprise to how it provides:

- TLS-Based Security for Data-in-Transit;
- Full Audit-trail support, Encryption for Data-at-Rest;
- Integration with Active Directory, LDAP, OAuth2;
- Project-based multi-tenancy, enabling data to be shared and processed in a cluster environment;
- Provenance support for Machine Learning Pipelines - enabling fully reproducible models;
- Conda environments & Pip Libraries in Air-gapped deployments;

 Hopsworks for Health Care

Better AI with Hopsworks

Watch this Feature Store presentation to understand how it can improve your ML model development and operations.

Try Hopsworks now

Hopsworks at a glance

Efficiency & Performance

Development & Operations

Governance & Compliance

Feature Store
Data warehouse for ML
Distributed Deep Learning
Faster with more GPUs
HopsFS
NVMe Speed with Big Data
Horizontally Scalable
Ingestion, Dataprep, training, Serving
Notebooks For development
First-class Python Support
Version Everything
Code, Infrastructure, Data
Model Serving on Kubernetes
TF Serving, MLeap, SkLearn
End-to-End ML Pipelines
Orchestrated by Airflow
Secure Multi-tenancy
Project-based restricted Access
Encription At-rest, In-Motion
TLS/SSL everywhere
AI-Asset Governance
Models, Experiment, data, GPUs
Data/Model/Feature Lineage
Discover/track dependencies

Efficiency & Performance

Feature Store
Data warehouse for ML
Distributed Deep Learning
Faster with more GPUs
HopsFS
NVMe Speed with Big Data
Horizontally Scalable
Ingestion, Dataprep, training, Serving

Development & Operations

Notebooks For development
First-class Python Support
Version Everything
Code, Infrastructure, Data
Model Serving on Kubernetes
TF Serving, MLeap, SkLearn
End-to-End ML Pipelines
Orchestrated by Airflow

Governance & Compliance

Secure Multi-tenancy
Project-based restricted Access
Encription At-rest, In-Motion
TLS/SSL everywhere
AI-Asset Governance
Models, Experiment, data, GPUs
Data/Model/Feature Lineage
Discover/track dependencies

Book a demo

Get an introduction to Hopsworks and Hopsworks Feature Store for your Machine Learning projects together with one of our engineers.

A comprehensive walk-through
• How Hopsworks can align with your current ML pipelines
• How to manage Features within Hopsworks feature store
• The benefits of Hopsworks Feature Store for your teams

Let us know if your specific wishes and pre-requisites for your personal demonstration.