About Hopsworks
Hopsworks is a MLOps platform from Logical Clocks that supports building, deploying, and scaling production machine learning systems. It combines a Feature Store, real-time AI capabilities, and collaborative tools so teams can manage their ML workflows efficiently. Hopsworks enables users to store large datasets, access features for model training, and monitor the performance of deployed models. Additionally, it integrates with popular data science frameworks and cloud services, allowing for flexibility in implementation. Key capabilities: Feature Store Real-time AI Model monitoring Collaboration tools Integration with frameworks Best for: data scientists and machine learning engineers that need to manage end-to-end ML workflows.
Hopsworks Details
Hopsworks's In-App Market Place
Does Hopsworks have an in-app market place?
Yes
How many Mini-Apps in the marketplace?
1
Mini Apps
N/A
Pricing Options
Accepted Payment Currencies
USD ($), EUR (€)
Pros & Cons
- Keeps large organizations agile and aware of possibilities.
- Options for on-premise and cloud deployment.
- Fast to add new libraries and custom requests.
- Excellent for developing big data processing pipelines and feature engineering.
- Easy to run Spark or PySpark applications.
- Straightforward installation of Python libraries for Jupyter notebooks.
- Open-source, GDPR compliant, and offers deep learning capabilities.
- Flexibility can make it challenging to understand its role in overall data architecture.
- Needs better visibility of logs post-job completion.
- Some connections and features could be improved (e.g., between Delta Lake and the feature store).
- Lack of graphical ETL tools for quick data engineering processes.
- Uncertainty around pricing compared to competitors.
Hopsworks's Support Options
Documentation
https://docs.hopsworks.ai/latest/Community Forums
https://community.hopsworks.ai/