Tecton made a business of getting fresh data to a model before the moment to decide has passed. Its journey from Uber infrastructure to Databricks acquisition shows why the least glamorous part of AI can be the part customers pay for.
A live shopping app cannot recommend a show that did not exist when last night's batch ran. Chalk built its business around the moment stale data becomes an expensive mistake.
Materialize is a New York-based data infrastructure company that builds a streaming SQL database. It continuously ingests data from operational systems, incrementally maintains the results of complex SQL queries as always-fresh materialized views, and serves them with low latency. Built on the open-source Timely Dataflow and Differential Dataflow engines and written in Rust, Materialize looks and behaves like Postgres, letting engineers use standard SQL to power real-time analytics, automation, personalization, fraud detection, and - more recently - a live context layer for AI agents and applications.
Redis is the company behind the world's most popular in-memory data store, the open-source database that began as a side project by Salvatore Sanfilippo in 2009 and now sits in the stack of most of the internet's largest applications. It sells managed and self-hosted enterprise versions - Redis Cloud and Redis Software - layered on the open-source core, and has pushed hard into real-time AI use cases like vector search and LLM memory. After a turbulent 2024 licensing fight that spawned the AWS-backed Valkey fork, Redis returned to an open-source license (AGPLv3) with Redis 8 in 2025.