Featureform
Featureform enables data scientists to define, manage, and serve machine learning features across an organization with a comprehensive framework for feature versioning, lineage, orchestration, monitoring, and governance.
Featureform Services
Featureform provides a platform for data scientists to define, manage, and serve machine learning features across an organization. The platform's Virtual Feature Store architecture orchestrates data infrastructure, maintaining training sets and production features. It includes built-in feature versioning, lineage, orchestration, monitoring, and governance, ensuring all transformations and features are searchable, reusable, and extensible.
Featureform Products
Featureform offers two main products: an open-source product and an enterprise solution. The open-source product includes a feature repository, batch transformations, monitoring and alerting, lineage and tracking, and search and discovery tools. The enterprise solution offers additional capabilities such as user management and access control, audit logs and reporting, streaming features, custom providers and integrations, and customer SLAs with dedicated support hours.
Featureform Integration and Infrastructure Support
Featureform integrates seamlessly with existing infrastructure, supporting various providers such as Databricks, Snowflake, Redis, DynamoDB, and MongoDB. It supports deployment on major cloud platforms including Amazon Web Services, Google Cloud Platform, Azure Cloud Platform, and Kubernetes. Featureform also integrates with identity providers like Okta and various data catalogs, providing robust governance and access control.
Featureform Governance and Compliance
Featureform places a strong emphasis on governance and compliance. It integrates with identity providers and data catalogs for robust access control and governance. The platform offers granular access controls, comprehensive audit logs, role-based access control, and SOC 2 compliance, ensuring the highest security standards. It also provides proactive alerting mechanisms to monitor production pipelines for job failures and data drift.
Featureform Monitoring and Maintenance
Featureform actively monitors production feature pipelines to detect job failures and data drift. It includes extensive monitoring and alerting features, capturing, versioning, and saving all changes in feature pipelines automatically. This monitoring ensures that data scientists can maintain the integrity of their machine learning models and datasets over time. Featureform's RAG pipelines also integrate embeddings, vector databases, key-value stores, and ETLs, centralizing pipeline definitions with a resource repository to provide robust version control and comprehensive monitoring.