ClickHouse brings real-time analytics to agentic AI
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 [...
Key Takeaways
- The data layer is critical for AI agents: ClickHouse delivers real-time analytics, sub-second queries, and natural language interfaces at enterprise scale.
AI ClickHouse brings real-time analytics to agentic AI Mark Albertson June 23, 2026 3 MIN READ link reply The growing use of AI agents throughout the enterprise is forcing a thorough reevaluation of the data layer.
- ClickHouse was actually built exactly for that customer-facing application at very high scale.
- Narayanan provided a demonstration of the ClickHouse platform during the interview.
She illustrated the full user journey, from spinning up directly on AWS Marketplace to ingesting raw data and guiding the interface with natural language to receive a full analytical report in return.
- This can be seen in the use of a conversational interface within the platform to generate results, a key element in the transformation of the data layer, according to Bragin.
"The secret no one talks about is that for your AI initiatives to succeed, you absolutely have to get your data layer right," she explained.
- "Cloud-native customers live in AWS, and we want to meet them where they live.
Stats & Key Facts
- #AI ClickHouse brings real-time analytics to agentic AI Mark Albertson June 23, 2026 3 MIN READ link reply The growing use of AI agents throughout the enterprise is forcing a thorough reevaluation of the data layer.
The data layer is critical for AI agents: ClickHouse delivers real-time analytics, sub-second queries, and natural language interfaces at enterprise scale. AI ClickHouse brings real-time analytics to agentic AI Mark Albertson June 23, 2026 3 MIN READ link reply 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.
Clickstream is just all of the users going to an intranet. " 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.
For more details please read the original article at SiliconANGLE AI.
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