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HOPSWORKS 3.0




Hopsworks is Enterprise AI pipeline with the Feature Store. 
Data from anywhere to everywhere.


FEATURE STORE GOES SERVERLESS


POWERING THE LEADING ENTERPRISE FEATURE STORE
FOR ALL

Start Now For Free






MOVING ML MODELS TO PRODUCTION

The AI enabled enterprise is the only way to compete in todays business
landscape. Embedding AI across an enterprise requires moving from bespoke builds
to an industrialized AI factory in order to fully tap its potential.

AI will generate up to $15 trillion in value according to McKinsey Global
Institute. As a result, companies need to integrate AI across their entire
organization in an effort to capture a portion of this value.

Enter Hopsworks, where teams collaborate to create AI enabled apps.


Hopsworks Feature Store

Business Value

Platform Agility

All Data
Teams
All Data
Sources

Deployments
of All Types

Maximum
Performance



From Business Intelligence to AI
Your existing data with the tools and data infrastructure that your teams
already know and use. From any source to any AI services or application at any
performance



From one model to hundreds
Engineer once, scale hundreds of times. Improve the quality and re-usability of
your features and models to engineer solutions for real business use cases. From
concept to production in a month's time

From Business Intelligence to AI
‍Your existing data with the tools and data infrastructure that your teams
already know and use. From any source to any AI services or application at any
performance

From one model to hundreds
‍Engineer once, scale hundreds of times. Improve the quality and re-usability of
your features and models to engineer solutions for real business use cases. From
concept to production in a month's time


Put your ML into production
All Data
Teams
All Data
Sources

Deployments
of All Types

Maximum
Performance


For all data teams
Paving the way to effective machine learning models in production

Data Scientists

Data Engineers

ML Engineers

Business Analysts



For all data sources
All the industry's main operational and analytical data sources; databases, data
warehouses and data frameworks

Snowflake

MongoDB

Spark

Amazon Redshift

Amazon S3

Azure ADLS

JDBC connectors

And many more..


Move from analytics to prediction

For all data teams
Paving the way to effective machine learning models in production

Data Scientists

Data Engineers

ML Engineers

Business Analysts

For all data sources
‍All the industry's main operational and analytical data sources; databases,
data warehouses and data frameworks

Snowflake

MongoDB

Spark

Amazon Redshift

Amazon S3

Azure ADLS

JDBC connectors

And many more..


Enable your business with AI
All Data
Teams
All Data
Sources

Deployments
of All Types

Maximum
Performance


For All Environments
Allowing your teams to work on what matters most regardless of the ecosystem

Amazon

Google

Azure

On-premise

Maximum Performance & Availability
‍Powered by the industry's most advanced database and filesystems

Low Latency

High Throughput

High Availability

Scaleout


Talk to an expert

For all environment type
Allowing your teams to work on what matters most regardless of the ecosystem

Amazon

Google

Azure

On-premise



Best of breed performance
Powered by the industry's most advanced database and filesystems

Low Latency

High Throughput

High Availability

Scaleout


Talk to an expert


JOIN GIANTS

Join the ever growing list of epic companies and research organizations -
leading in their field - using Hopsworks as a core component of some of their
critical machine learning pipelines.







PYTHON-CENTRIC FEATURE STORE & MORE

Data Scientist


Data Engineers


ML engineers


Business Analyst


Online / Streaming

Offline / Batch

Feature Views

Training Data
Model Registry
Feature Groups
Integration & Dev
Feature Stores
Feature Views

Training Data
Model Registry
Feature Groups
Feature Views

Training Data
Model Registry
Feature Groups


Production
Feature Store

Feature Views

Training Data
Model Registry
Feature Groups
= Feature Store Project


ENTERPRISE DATA


BUSINESS SYSTEMS

Applications
Services
Operational
Data
Analytic Data
Data Lakes


ENTERPRISE FEATURE STORE

Govern & Monitor
Serve
Share & Re-use
Create

Seamless Team Collaboration
Highest Real-Time Performance
ROI within 6 months
Azure
AWS
Google Cloud
On-premise


ENTERPRISE AI


PRODUCTS

Experiments
& Model Training

Model Registry

Model
Deployement
Online
& Batch Apps
BI Tools
Analytics
& Reports


BUILD



Connect to any Data
Bring your own tools
Collaborative Project Structures
Feature Management



DEPLOY



CI/CD (FeatureOps)
Versioning
Testing
Pushbutton Rollback



MANAGE & GOVERN



Time Travel
Workload Isolation
Fine Grained Orchestration
Monitoring & Alerting
Provenance & Lineage





BLOGS

July 18, 2022
15
Read


HOPSWORKS 3.0 - CONNECTING PYTHON TO THE MODERN DATA STACK

Hopsworks 3.0 is a new release focused on best-in-class Python support, Feature
Views unifying Offline and Online read APIs to the Feature Store, Great
Expectations support, KServe and a Model serving

Jim Dowling
June 30, 2022
10 min
Read


A SPARK JOIN OPERATOR FOR POINT-IN-TIME CORRECT JOINS

In this blog post we showcase the results of a study that examined point-in-time
join optimization using Apache Spark in Hopsworks.

Axel Pettersson
June 23, 2022
10 min
Read


THE EU AI ACT: TIME TO GOVERN YOUR AI OR TURN IT OFF

An introduction to the EU AI Act and how Feature Stores provide a great solution
to the obligations imposed by the regulation.

Geoff Burne
May 27, 2022
15
Read


FEATURE TYPES FOR MACHINE LEARNING

Programmers know data types, but what is a feature type to a programmer new to
machine learning, given no mainstream programming language has native support
for them?

Jim Dowling


EVENTS


HOPSWORKS 3.0, INTRODUCTION TO THE NEW PYTHON-CENTRIC FEATURE STORE

July 27, 2022 7:45 PM

In this webinar, Fabio Buso, VP of Engineering at Hopsworks will present the new
3.0 release; How our new Feature View and write APIs have evolved to help Data
Scientists bring their models to production, and other state-of-the art new
improvements.



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