#355 AI's Impact on Databases with Shireesh Thota, CVP of Databases at Microsoft

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Apr 13, 2026

Shireesh Thota, CVP leading Azure Databases and App Development with 20+ years building scale-out systems. He discusses how AI agents reshape data stacks and reasoning over unified data. He explains why platforms like Fabric matter, trade-offs between SQL and NoSQL, semantic models to prevent hallucinations, and tools for monitoring and operational intelligence.

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INSIGHT

Unified Platforms Replace Fragile Stitched Stacks

Unified data platforms reduce complexity by storing one open-format copy and decoupling writers from readers.
Shireesh highlights OneLake, open formats, unified security, lineage, and reusable compute across engines as the benefit.

ADVICE

Simplify Management But Preserve Architectural Choice

Simplify integration and management but keep developer choice for architectural trade-offs.
Shireesh: let customers pick SQL vs NoSQL for hard physics trade-offs like global scale, consistency and write performance.

INSIGHT

Expect Two Fundamental Database Tradeoffs

Databases split into two families: relational (strong ACID, one-copy) and sharded NoSQL (elastic, geo-distributed) with different trade-offs.
Shireesh frames product portfolio as a two-by-two: SQL vs NoSQL and first-party vs open source.

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Cloud data platforms now offer hundreds of services, plus a growing menu of SQL, NoSQL, and open source options. Unified environments promise a simpler path, but the hard trade-offs—consistency versus scale, single-writer versus sharded, RPO/RTO targets—still matter. In daily work, you may be deciding between SQL Server, Postgres, and a globally distributed JSON store, while also asking AI tools to draft queries and spot issues. Should you still learn SQL if an agent can write it? How do you validate the intent, performance, and security of generated queries? And can monitoring agents actually reduce on-call pain without taking away needed control?

Shireesh is the CVP of Databases at Microsoft. He leads product management, engineering, and cloud operations for Azure Databases as well as App Development for Microsoft Fabric. The products in his team’s portfolio include Azure SQL Database (on-prem, Hybrid and Cloud), Azure Cosmos DB, Azure PostgreSQL, and Azure MySQL.\\n\\n

Previously, as the Senior Vice President at SingleStore, Shireesh was responsible for end-to-end engineering and product vision of the company. Before moving to SingleStore, Shireesh was a founding member of Cosmos DB, where he architected, designed, and directly contributed to multiple key pieces of the services.\\n\\n

Shireesh has 20+ years of experience on large scale, big data, scale-out, relational and schema agnostic distributed systems across SQL, Azure Cosmos DB and PostgreSQL/Citus.

In the episode, Richie and Shireesh explore how AI agents are reshaping data stacks, why unified platforms like Fabric matter, how semantic models and ontologies reduce confusion in metrics, SQL and NoSQL choices on Azure, Postgres to Cosmos DB with guidance for builders, and much more.

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