See how Google BigQuery performs on cost, complexity, concurrency, and more.
| | | | | | | | | | | | | | | | | | | Hi David, Get a quantified view into how Google BigQuery performs on cost, complexity and concurrency in this live webinar. AtScale Founder and Chief Strategy Officer, Dave Mariani, and Andres Rigoni, AtScale Sales Engineer, will run through their recent benchmark analysis quantifying vendor benefits for Google BigQuery with and without AtScale Adaptive Analytics. 
AtScale Office Hours: Benchmarking Query Analysis on Google BigQuery Wednesday March 25th, 1PM ET/ 10AM PT This benchmark study looked at query performance, compute costs, semantic complexity and user concurrency. Register now to see how we help Google BigQuery: - Run 7.7x faster queries on a 29 billion row data set
- Reduce cost by 10x on a 10 TB cloud data warehouse
- Bring query complexity down by 75% versus raw SQL
- Improve user concurrency by up to 20x
If you can't make the live event, register and we'll send the recording.
Best, Dan Schulwolf AtScale | | | | | | | | |
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