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Mike Driscoll
@medriscoll.com

Why am I so excited to bring this crew together on stage? It's because real-time analytical databases like ClickHouse, Apache Pinot, and MotherDuck / DuckDB are reshaping data stacks the fastest-moving engineering teams on earth -- OpenAI, DoorDash, and @stackblitz.com.

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Mike Driscoll
@medriscoll.com

The sub-second speed-at-scale of these real-time engines enable new kinds of applications: point-of-sale fraud detection, IoT monitoring, real-time context for AI agents -- these use cases just aren't supported by traditional data warehouses like Snowflake. www.rilldata.com/blog/scaling...

rilldata.comRill | Scaling Beyond Postgres: How to Choose a Real-Time Analytical DatabaseThis blog explores how real-time databases address critical analytical requirements. We highlight the differences between cloud data warehouses like Snowflake and BigQuery, legacy OLAP databases like ...
Mike Driscoll
@medriscoll.com

Similarly, Toby and his team at Tobiko Data have built an powerful yet elegant transformation platform -- combining SQLMesh and SQL dialect transpilation (SQLGlot) to allow portability of pipelines between databases, warehouses, and lakehouses. techcrunch.com/2024/06/05/w...

techcrunch.comWith $21.8M in funding, Tobiko aims to build a modern data platform | TechCrunchTobiko aims to reimagine how teams work with data by offering a dbt-compatible data transformation platform.