Treasure Data’s engineering team builds the intelligence backbone for some of the world’s largest brands. We design and operate a platform that ingests petabytes of structured and unstructured data, unifies billions of customer profiles, and activates them in real time — at global scale.

We created Fluentd, now part of CNCF, and continue to contribute to projects like Embulk, Hivemall, and Digdag. That same spirit drives how we tackle today’s challenges: distributed query engines, schema-on-read storage, streaming ingestion, and embedding AI directly into customer workflows.