The Feature Store is a platform that connects enterprise data to analytical and operational ML systems. It is the simplest and fastest way to get your models to production.
From data to models. From months to minutes.
Hopsworks is Enterprise AI pipeline with the Feature Store.
Data from anywhere to everywhere.
Using Hopsworks, data scientists can work, share, and interact with production and prototype environments in a Python-centric manner.
Using transpilation, we bring the power of SQL to our Python SDK and seamlessly transfer data from any warehouse to Python for feature engineering and model training.
In addition to Great Expectations for validating feature data, Hopsworks has support for custom transformation functions written in Python, which can be applied consistently between training and inference, preventing training-inference skew.
Hopsworks provides the shortest feedback loop for developers when reading and writing features from/to a feature store. You can read and write DataFrames (in Python or Spark) in seconds, providing an interactive experience that enables you to build and test your machine learning pipelines faster.
You can easily select features for training or batch inference using a Pandas-like API, while behind the scene Hopsworks ensures no future data leakage by implementing an efficient point-in-time correct Join.
Regardless of the ecosystem you choose for your feature store, the location of your data and the way you want to bring it to the world, Hopsworks will simply work for you. With Hopsworks, teams will focus on what matters most.
The easiest way to create features for training and inference today is to use Hopsworks Serverless. Free and time unlimited accounts. To build your first service, all you need to do is register for an account and install the hopsworks library in your Python environment. Within minutes you can build a complete ML-powered prediction service.
Find more about Serverless ML
Dive in our documentation and start using the Feature Store right away.
For fast-moving development cycles and product launches, Hopsworks documentation serves as an essential resource for users and stakeholders to access every aspect of the platform quickly and efficiently.
Whether looking for concepts or APIs, Hopsworks brings comprehensive and accessible documentation with code snippets, examples, and tutorials, enabling you to bring your ML projects to production faster.