The Tecton Feature Store
Build ML features using batch, streaming, and real-time data. Deploy them to production instantly.
Bringing DevOps to ML Data
The Tecton feature store manages data flows for operational ML applications on your cloud infrastructure. It brings the principles of DevOps to the entire feature lifecycle and allows data scientists to build and deploy new features within hours instead of weeks.
Using the Tecton Feature Store
Connect Data Sources
Tecton connects directly to batch data sources (e.g. Amazon S3, Redshift, Snowflake) and streaming data sources (e.g. Kafka, Amazon Kinesis).
Define Features
Create new features using Python, SQL, and PySpark. Register new features with Tecton.
Continuously Generate Feature Values
Tecton orchestrates the transformation logic to generate both historical backfill values and fresh feature values. The values are stored in offline and online storage.
Serve Features for Training and Inference
Create accurate training datasets with just a few lines of code in your preferred notebook environment. Retrieve fresh feature values from Tecton’s REST/gRPC API to power real-time predictions in production.
Product Capabilities
Tecton is a complete data platform for ML teams to build, deploy, and share ML features.
Build
Combine Batch, Streaming, and Real-Time Data
Use all your enterprise data to build high-quality features. Combine batch data (e.g. Amazon S3, Amazon Redshift, Snowflake), streaming data (e.g. Apache Kafka, Amazon Kinesis), and real-time data. Real-time data is passed to Tecton at the time of the feature request, and Tecton executes on-demand transformation to generate real-time values.
Manage features as code
Define features in Python files that contain the transformation logic and metadata needed to compute features on an ongoing basis. Version-control your features (e.g. in Git) and integrate them with your existing Code Review and CI/CD processes.
Develop with familiar data science tools
Build features using familiar programming languages and libraries including Python, SQL and PySpark. Use Tecton’s Python SDK in your preferred notebook environment to create training datasets.
Generate accurate training data
Create accurate training datasets with just a few lines of code. Use row-level time travel to deliver the right values at the right time, for each individual row.
Deploy
Plan feature changes with confidence
“Am I about to modify a feature used in production? How much will this feature cost to process? Is this new feature a duplicate?” Before applying your changes, Tecton generates a plan that allows you to answer these questions. Test changes in private workspaces before deploying them to your production environment, and integrate seamlessly with your existing CI/CD pipeline.
Automate feature transformations
Tecton orchestrates data pipelines to generate backfills and continuously compute fresh feature values. Alternatively, ingest feature data from pipelines managed outside of Tecton.
Ensure data consistency
Provide a single source of truth for feature data across your organization. Tecton stores historical data in offline storage, and fresh data in online storage for low-latency retrieval. Ensure data consistency over time and eliminate training / serving skew. Reproduce historical data sets with row-level time travel to deliver the right values at the right time, for each individual row.
Serve features online
Retrieve feature values from Tecton’s REST/gRPC API to power real-time predictions in production.
Monitor data quality and operational metrics
Monitor features at every step of their lifecycle. Validate ingested data and detect data drift. Monitor operational metrics including serving latencies, serving volumes, and storage consumption.
Share
Search and discover features
Build a unified catalog of features across your organization. Enable teams to search and discover existing features to enable re-use across teams and models. Track detailed information on each feature including data lineage, feature health, and feature value distribution to increase confidence in existing features
Enterprise-Ready
Enterprise-grade security
Tecton is deployed in your VPC, so your data never leaves your cloud account. Control access to individual features and data with Role-Based Access Control and ACLs. Integrate with AWS IAM, Okta, or any solution that supports SAML or Oauth.
Built for scale
Based on Uber Michelangelo’s battle-tested architecture blueprint, Tecton is built for scale and can support thousands of models, tens of thousands of features, and millions of predictions per second. You can start small, and Tecton will scale with you.
Integrations
Integrates with your data infrastructure
Tecton integrates with your data lake, data warehouse, and streaming platform. In addition, Tecton can perform real-time transformations on data that is passed in real-time with the feature request.
Integrates with all MLOps platforms
Tecton integrates with MLOps platforms such as Amazon SageMaker, Kubeflow, and Databricks via its Python SDK. Manage your Tecton environment directly in your preferred notebook environment such as Databricks, SageMaker, and Jupyter notebooks. Create training datasets and serve features in production for models managed by your existing MLOps platform.
Built for the Cloud
Fully-managed service
Let Tecton manage your feature store with guaranteed SLAs and enterprise support. Tecton is built on best-in-class cloud services to maximize resilience and scale.
Choice of deployment models
Tecton can run in your private VPC so that your data never leaves your account. Alternatively, we can host Tecton as a standalone service to get you off the ground within minutes.
Elastic scalability
Tecton optimizes resource utilization and scales dynamically based on your requirements. We scale compute, storage, and serving independently to adjust to your usage patterns.
Cost-optimized
Tecton is priced on consumption so you only pay for what you use. Start small and scale pricing with your usage.
Learn more about the Tecton Enterprise Feature Store
Get your models to production
Contact us
info@tecton.ai 548 Market St San Francisco, CA 94104
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