Audience
Data science teams seeking a solution to transform data into features
About Hopsworks
Hopsworks is an open-source Enterprise platform for the development and operation of Machine Learning (ML) pipelines at scale, based around the industry’s first Feature Store for ML. You can easily progress from data exploration and model development in Python using Jupyter notebooks and conda to running production quality end-to-end ML pipelines, without having to learn how to manage a Kubernetes cluster. Hopsworks can ingest data from the datasources you use. Whether they are in the cloud, on‑premise, IoT networks, or from your Industry 4.0-solution. Deploy on‑premises on your own hardware or at your preferred cloud provider. Hopsworks will provide the same user experience in the cloud or in the most secure of air‑gapped deployments. Learn how to set up customized alerts in Hopsworks for different events that are triggered as part of the ingestion pipeline.
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Pricing
Starting Price:
$1 per month
Free Version:
Free Version available.
Free Trial:
Free Trial available.
Integrations
Company Information
Logical Clocks
Founded: 2016
Sweden
www.logicalclocks.com/hopsworks
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Product Details
Platforms Supported
Cloud
On-Premises
Training
Documentation
Live Online
Webinars
In Person
Support
Phone Support
Online
Hopsworks Frequently Asked Questions
Hopsworks Product Features
Artificial Intelligence
For Healthcare
For eCommerce
Predictive Analytics
Process/Workflow Automation
Chatbot
For Sales
Image Recognition
Machine Learning
Multi-Language
Natural Language Processing
Rules-Based Automation
Virtual Personal Assistant (VPA)
Big Data
Collaboration
Data Cleansing
Data Mining
Data Visualization
Data Warehousing
High Volume Processing
Templates
Data Blends
No-Code Sandbox
Predictive Analytics
Data Analysis
Data Discovery
Data Visualization
High Volume Processing
Regression Analysis
Predictive Analytics
Sentiment Analysis
Statistical Modeling
Text Analytics
Data Management
Customer Data
Data Analysis
Data Integration
Data Migration
Data Quality Control
Data Security
Master Data Management
Data Capture
Information Governance
Match & Merge
Machine Learning
Deep Learning
ML Algorithm Library
Model Training
Natural Language Processing (NLP)
Predictive Modeling
Statistical / Mathematical Tools
Templates
Visualization
