Introducing Cross-Workspace Search

November 21, 2024

A new tool that enhances collaboration and resource discovery within your organization's Tecton environment. With this feature, you can now search for key data assets—such as Sources, Entities, Transformations, Feature Views, Feature Services, and …

1.0 Launch Event

September 24, 2024

Our founders, Mike Del Balso and Kevin Stumpf, hosted a talk on Tecton's latest innovations, showcasing how we're extending our capabilities to power both predictive ML and generative AI applications.

Support for Remote Dataset Generation

September 17, 2024

We made our customers’ lives tremendously easier by allowing them to generate training data without the cost of massive local resources or dedicated Spark infrastructure. This is done using our new Remote Dataset Generation capability, which allows …

Sharing Learnings from Embeddings

July 18, 2024

The team behind Tecton Embeddings published a pair of blogs diving into the challenges around productionizing Embeddings and Tecton's approach to solving those.

Rift Public Preview

April 5, 2024

With Tecton 0.9, we're excited to announce the Public Preview of Rift: Tecton’s AI-optimized, Python-native compute engine. We've worked closely with Private Preview customers to enhance Rift's capabilities and make it ready for broader …

Introducing Tecton 0.9

April 5, 2024

Tecton 0.9 comes packed with powerful upgrades even beyond the Rift Public Preview. We've invested further in our Aggregation Engine, with improvements to both capabilities (new support for Time Series Aggregation Windows) and efficiency (compaction …

Tecton Serving Cache

December 19, 2023

Introducing the Tecton Serving Cache, a server-side cache that dramatically reduces infrastructure costs for high-scale feature serving for AI. Tecton Serving Cache helps achieve up to 80% lower p50 latency and 95% cost reduction compared to feature …

Custom Environment Support

August 1, 2023

Tecton already allows customers to quickly define features in Python. Today, we're making them even faster with added support for Python pip dependencies.