The growing use of AI agents throughout the enterprise is forcing a thorough reevaluation of the data layer.
This shift is driven by the need for millisecond responses that enable agents to make decisions, access data rapidly and integrate it fully into enterprise applications. Legacy batch-oriented architectures were not designed for this challenging environment, which has created a prime opportunity for real-time analytics, data warehousing and observability company ClickHouse Inc.
ClickHouse, which is available natively as a fully managed service on AWS Marketplace, is a real-time analytical database built to handle high concurrency and sub-second query performance in the AI era.
“AI needs very good context, very granular data,” said Tanya Bragin (pictured, right), vice president of product and marketing at ClickHouse. “Full fidelity data at scale is an absolute requirement. ClickHouse was actually built exactly for that customer-facing application at very high scale. The name ClickHouse is Clickstream Data Warehouse. Clickstream is just all of the users going to an intranet. That’s what it was built for.”
Bragin spoke with Christophe Bertrand, principal analyst at theCUBE Research, during an interview for the AWS Marketplace Series on theCUBE, SiliconANGLE Media’s livestreaming studio. She was joined by Sowmya Narayanan (left), director of product, billing and marketplaces at ClickHouse, and they discussed how the company is building a database to enable enterprise deployment of AI agents and applications at scale. (* Disclosure below.)
