Redis and Tecton Partner to Deliver High-Performance Feature Serving for Real-Time Machine Learning
Tecton now supports Redis Enterprise Cloud as an online store to deliver 3x faster serving latencies at up to 14x lower cost compared to Amazon DynamoDB
Mountain View and San Francisco — Redis, the real-time data platform, and Tecton, the enterprise feature store company, today announced a partnership and a product integration that enables low-latency, highly scalable and cost-effective serving of features to support operational Machine Learning (ML) applications.
The Tecton feature store is a central hub for ML features, the real-time data signals that power ML models. Tecton allows data teams to define features as code using Python and SQL. Tecton then automates ML data pipelines, generates accurate training datasets and serves features online for real-time inference. With Tecton, data teams can build features collaboratively using DevOps engineering best practices and share features across models and use cases. New features can be delivered in minutes without the need to build bespoke data pipelines.
Feature stores support two data access patterns for ML: retrieving millions of rows of historical data for model training, and retrieving individual rows online at millisecond latencies for real-time predictions. Feature stores typically use key-value databases as online storage for low-latency serving.
Redis Enterprise Cloud is a cost-effective, fully managed Database-as-a-Service (DBaaS) available as a hybrid and multi-cloud solution. Built on a serverless concept, Redis Enterprise Cloud simplifies and automates database provisioning on the leading cloud service providers: AWS, Microsoft Azure and Google Cloud. Designed for modern distributed applications, Redis Enterprise Cloud delivers sub-millisecond performance at a virtually infinite scale. This allows developers and operations teams to build intelligent, high-performance, scalable and resilient applications faster using Redis native data structures and modern data models with low-latency retrieval necessary for online stores.
With the new integration, Tecton customers now have the option to use Redis Enterprise Cloud as the online store for their ML features. Redis Enterprise Cloud provides 3x faster serving latencies compared to Amazon DynamoDB, while reducing the cost per transaction by up to 14x. This enables organizations to support more demanding ML use cases, such as recommendations and search ranking.
“The Tecton feature store is designed to support a broad range of ML use cases, each with unique serving latency and volume requirements,” said Mike Del Balso, co-founder and CEO of Tecton. “Customers with latency-sensitive and high-volume use cases have been asking for the option to use Redis Enterprise Cloud for their online store. With today’s announcement, we’re happy to be providing that option and continuing to make the Tecton feature store more flexible and modular.”
“As more organizations operationalize machine learning for real-time, performance becomes especially important for customer-facing applications and experiences,” said Taimur Rashid, Chief Business Development Officer at Redis. “Feature stores are at the center of modern data architecture, and there is increasing adoption of Redis to store online features for low-latency serving. With Tecton’s capabilities for data orchestration combined with Redis Enterprise Cloud’s low operational overhead and submillisecond performance, organizations can deliver online predictions and perform complex operations in milliseconds.”
. Read the Tecton and Redis: High Performance at Scale for Real-Time ML blog: https://www.tecton.ai/blog/announcing-support-for-redis
· Read the Delivering Fast ML Features with Tecton and Redis Enterprise Cloud blog: https://www.tecton.ai/blog/delivering-fast-ml-features-with-tecton-and-redis-enterprise-cloud
· Watch Tecton co-founder and CEO Mike Del Balso speak at the virtual RedisDay New York event on Thursday, March 31st. The event will be live streamed beginning at 9:00 a.m. ET. Registration is free: https://redis.com/redisdays
Data is the lifeline of every business, and Redis helps organizations reimagine how fast they can process, analyze, make predictions, and take action on the data they generate. Redis provides a competitive edge to any business by delivering open source and enterprise-grade data platforms to power applications that drive real-time experiences at any scale. Developers rely on Redis to build performance, scalability, reliability, and security into their applications.
Born in the cloud-native era, Redis uniquely enables users to unify data across multi-cloud, hybrid and global applications to maximize business potential. Learn how Redis can give you this edge at redis.com.
Tecton’s mission is to make world-class ML accessible to every company. Tecton enables data scientists to turn raw data into production-ready features, the predictive signals that feed ML models. The founders created the Uber Michelangelo ML platform, and the team has extensive experience building data systems for industry leaders like Google, Facebook, Airbnb and Uber. Tecton is the main contributor and committer of Feast, the leading open source feature store. Tecton is backed by Andreessen Horowitz and Sequoia and is headquartered in San Francisco with an office in New York. For more information, visithttps://www.tecton.ai or follow @tectonAI.
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