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108M Rows of Logs & IOT data | ClickHouse

Explore 108 million rows of machine log data with instant filtering and live queries.

This Astrato workbook runs directly against the Brown University MgBench dataset in ClickHouse — CPU, memory, disk, network, and load metrics across thousands of machines. A live-query demo showing how Astrato handles dense time-series data at scale, without extracts. See the source query.

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Budgeting

Track budgets against actuals in real time, understand utilisation, and keep financial performance on course. This demo combines high-level KPI monitoring with detailed breakdowns by company, category, and period, helping teams quickly spot overspend, underperformance, or forecasting gaps. Designed for finance teams moving beyond spreadsheets into interactive, self-service planning and performance analysis.

Shrinkage Management

Monitor product shrinkage, spot trends early, and reduce losses before they impact margins. This demo shows how operational teams can track shrinkage by location, brand, product, and time period, with interactive filtering and detailed drilldowns. Identify high-risk areas, compare expected vs reported quantities, and turn fragmented inventory data into clear actions.Built for retail, hospitality, manufacturing, and any business managing stock across multiple sites.‍

Snowflake Summit Parties

An interactive Astrato map of the top parties at Snowflake Summit, curated by Snowflake Data Superhero Piers Batchelor.

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