Orchestrating Feature Pipelines: Announcing the Tecton Airflow Provider

October 31, 2023 by

The Tecton Airflow provider allow feature platform orchestration through the management of Tecton Feature Views and Feature Services in Airflow.

Partners & IntegrationsProduct Updates

Combining Online Stores for Real-Time Serving

October 10, 2023 by

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

TutorialsFeature Platforms

A Closer Look at the Latest Feature Engineering Workflow Improvements in Tecton 0.6

March 31, 2023 by

Tecton 0.6 makes it easier to iterate on feature engineering workflows by providing a number of capabilities that make it easier to develop, test, and deploy ML features.

Feature PlatformsFeature StoresProduct Updates

Notebook-Driven Development with Tecton 0.6: Combating Fraud and Optimizing Dynamic Pricing

March 20, 2023 by

Notebook-driven development is a flexible and efficient approach that enables data scientists, ML engineers, and data engineers to define features in Python notebooks while constructing ML models.

Feature PlatformsFeature StoresFraud Detection

Tecton 0.6 Enables Data Teams to Improve Iteration Speed When Building Batch, Streaming & Real-Time Features

March 15, 2023 by

The 0.6 release aims to provide a seamless transition from notebook development to production, the first feature platform to offer this capability

Feature PlatformsFeature Stores

Choosing the Right Feature Store: Feast or Tecton?

December 22, 2022 by ,

See a side-by-side deep-dive comparison of Feast and Tecton.

Feature PlatformsFeature Stores

Feature Store vs. Feature Platform

October 19, 2022 by ,

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.

Feature StoresFeature Platforms

Real-Time Machine Learning Challenges

October 19, 2022 by ,

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.

Feature PlatformsFeature Stores

Getting Started With Amazon SageMaker & Tecton’s Feature Platform

February 23, 2022 by

SageMaker has emerged as a leading machine learning platform for enterprises running on AWS. Similarly, Tecton has emerged as the feature platform of choice for enterprises running machine learning (ML) in production. Tecton makes it very easy to …

Partners & Integrations