What's New

We’re excited to share our latest release with Tecton 1.1. The Tecton team has been working hard building powerful capabilities that make it simpler for AI teams to build more sophisticated features, optimize infrastructure and improve model …

Introducing OAuth-Based Authentication for Service Accounts Private Preview

Tecton now supports OAuth client credentials for Service Accounts, enabling secure, short-lived credentials and seamless client secret rotation. This feature enhances security and streamline credential management for machine-to-machine authentication.

Introducing Cross-Workspace Search

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 Datasets—across all workspaces within an account. You can search by metadata fields like Name, Description, Tags, and Owners, making it faster and easier to find valuable resources. Searches respect your existing permissions, ensuring secure, seamless collaboration.

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.

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 customers to generate training or prediction data from any environment

We are excited to announce Tecton 1.0, a major milestone release. This release introduces new GenAI capabilities that make it simple for engineering teams to productionize rich, context-aware LLM applications along with a number of foundational core …

Empowering enterprises to take LLMs from experimental projects to reliable, context-aware AI applications at scale

Sharing Learnings from Embeddings

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

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 availability. Rift Public Preview includes powerful capabilities that make Tecton significantly more secure, unlock new features that increase model quality, improve performance and reliability, and much more.

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 for Lifetime Aggregation Windows).

Tecton, the feature platform for production machine learning (ML), today announced that it has successfully achieved the Google Cloud Ready – BigQuery designation. By earning this designation, Tecton has proven its feature platform has met …

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 retrieval without a cache, making it ideal for recommendation systems and other AI applications requiring rapid, high-volume predictions.