Feature Platforms

Combining Online Stores for Real-Time Serving

Tecton uses Redis or DynamoDB as an online store for production machine learning. This post provides examples that use both databases together

PostFeature PlatformsTutorials

Webinar: Creating Better Machine Learning Features for Real-Time Decisions

A machine learning model can only be as good as the features that power it.  The challenge, however, is that ML models require high-quality data that can be difficult to process and serve in production.  Transforming data into features that …

VideoFeature PlatformsOperational & Real-Time ML

Discover how FanDuel built a powerful ML platform for personalized experiences

Learn how FanDuel engineered and built a powerful ML Platform to deliver personalized experiences to their users.

VideoCustomer StoriesFeature Platforms

The Buyer’s Guide to Evaluating ML Feature Stores & Feature Platforms

If you’re looking for a feature store or feature platform for machine learning and don’t know where to start, this guide is for you! It will help you frame your evaluation to ensure you choose the best solution for your organization’s needs.

WhitepaperFeature PlatformsFeature Stores

Webinar: Notebook-Driven Development in Tecton 0.6

Join us for an in-depth look at Tecton's latest release, version 0.6, and the new features that are designed to streamline and simplify feature engineering workflows.

VideoFeature PlatformsProduct Updates

Feature Stores for Real-Time Machine Learning. Build or Buy?

Data sources, feature freshness, data pipelines, training / serving skew—learn how these come into play in the build vs. buy decision.

WhitepaperFeature PlatformsFeature StoresOperational & Real-Time ML

Feature Store vs. Feature Platform

In part 2 of this 3-part series, we outline the differences between a feature store and a feature platform, and how they can help you overcome common challenges when building real-time ML in production.

PostFeature PlatformsFeature Stores

Tecton Platform Brief

Build and serve production-ready features for real-time machine learning

Solution BriefFeature PlatformsProduct Updates

4 Minute Demo of the Tecton Feature Platform

David Hershey from the Tecton team walks through a quick overview and demo of the Tecton Feature Store platform.

VideoFeature PlatformsProduct Updates

Workshop: Operationalizing ML Features on Snowflake With Tecton

Workshop: Operationalizing ML Features on Snowflake with Tecton Many organizations have standardized on Snowflake as their cloud data platform. Tecton integrates with Snowflake and enables data teams to process ML features and serve them in …

VideoFeature PlatformsPartners & Integrations

Top 3 Benefits of Implementing a Feature Platform

From healthcare and online retail to meal kits and financial services, companies across industries are deploying real-time machine learning applications. This creates ever-increasing demands on ML engineering teams, which, in turn, need the support …

PostFeature Platforms

Real-Time Machine Learning Challenges

In Part 1 of this series, we do a deep dive into the most common challenges of building real-time ML in production and why they're so challenging. Future posts will talk about how companies solve these challenges.

PostFeature PlatformsFeature Stores