Alvin AI

Founded by Martin Abelson Sahlen in 2018

Reduce Google BigQuery compute costs through automated SQL query rewriting and routing

Pricing model

Free

Rating

★ Information not available

Time to value

Quick Setup (< 1 hour)

You can use Alvin to automatically cut your Google BigQuery compute spending without changing your daily analytics workflows. Alvin intercepts SQL queries before they reach BigQuery, analyzing execution plans in real time to rewrite code for maximum cache hits and partition pruning. It dynamically routes queries to the cheapest available pricing tiers and automatically adjusts BigQuery slot reservations. You can monitor spending across different query sources through a reporting dashboard, reducing data warehouse costs while keeping query latency under two milliseconds.

What Alvin AI does

Rewrite incoming BigQuery SQL queries automaticallyRoute queries dynamically to the cheapest compute tierConfigure and scale BigQuery slot reservationsPrune data partitions to lower data scan costsMonitor data warehouse spending by sourceGenerate savings reports from database metadataRewrites SQL queries in real time to increase cache hits and prune partitionsDynamically routes queries to the most cost-effective BigQuery pricing modelAutomatically provisions and manages BigQuery slot reservationsProcesses query optimizations with an average latency of 1.2 millisecondsTracks warehouse spend across different query sources via an analytics dashboardMaintains data privacy without storing or processing underlying customer data

Pricing breakdown

Pricing model: Free

Frequently asked

Google BigQuery

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