The most easy to use & capability rich feature store in the world. With built-for-purpose Online, Offline and Metadata Storages. Outperforming any platform.
A tutorial of the Hopsworks Feature Query Service which efficiently queries and joins features from multiple platforms such as Snowflake, BigQuery and Hopsworks without data any duplication.
The rapid development pace in AI is the cause for a lot of misconceptions surrounding ML and MLOps. In this post we debunk a few common myths about MLOps, LLMs and machine learning in production.
Achieve an 80% reduction in cost over time starting from the second ML models are deployed in production.
MLOps with a feature store allows your organisation to put your data into production, faster.
Accelerate your machine learning projects and unlock the full potential of your data with our feature store comparison guide.
Feature engineering at reasonable scale. Bring your own code with you, use any popular library and framework in Hopsworks.
Role-based access control, project-based multi-tenancy, custom metadata for governance.
Feature Engineering at scale, and with the freshest features. Batch or Streaming feature pipelines.
Bring Your Own Cloud, your infrastructure, on-premise or anywhere else; managed clusters on AWS, Azure, or GCP.
Use Python, Spark or Flink with the highest performance pipelines for reading and writing features.
Enterprise Support available 24/7 on your preferred communication channel. SLOs for your feature store.