Every dataset in QuantumLayers runs through the same statistical pipeline. Here is each test in it, from outliers, Spearman correlation and OLS regression to ANOVA effect sizes, Kruskal-Wallis, Cramér's V, ADF, CUSUM, STL seasonality, Holt-Winters and SARIMA forecasts, and VIF, the thresholds each applies, and how Benjamini-Hochberg correction decides what you see.
Joining datasets is where multi-source analysis gains most of its value and picks up most of its errors. Here is what each join type keeps, why grain matters, how fan-out inflates totals and test statistics, how key mismatches drop records without warning, and a five-check routine to verify any join before it feeds a decision.
A live QuantumLayers demo: we loaded every Nobel Prize awarded since 1901, 1,026 in all, into a public dataset and tested four things people assume about the prize, from the lone genius to the gender gap.
A live QuantumLayers demo: we pulled every earthquake the USGS recorded over 30 days — 10,877 of them — into a public dataset and charted what the planet has been doing beneath our feet.
A live QuantumLayers demo: we loaded NASA's full catalogue of 45,716 known meteorites into a public dataset and charted what more than a thousand years of space rock actually looks like.
A live QuantumLayers demo: we loaded the Smithsonian's catalogue of 958 Holocene volcanoes into a public dataset and asked who lives near them. The answer: more than 2.6 billion people within 100 km of a volcano.
A live QuantumLayers demo: we loaded the 2018 Central Park Squirrel Census — 3,023 hand-counted squirrels — into a public dataset and charted what one autumn snapshot of one park's squirrels reveals.
QuantumLayers runs as a hosted service by default. An on-premise deployment moves the same application inside your own network so the data never leaves your environment. Here is what an on-premise install includes, what stays identical to the cloud, the two decisions unique to running it yourself, and a side-by-side table of the tradeoffs against the online version.
QuantumLayers connects to seven external databases and warehouses: MySQL, PostgreSQL, SQL Server, Amazon Redshift, Azure Synapse, Google BigQuery, and ClickHouse. Here is what each connection needs, the two ways to define the data with SQL or a plain-English description, and worked examples for loading one as a dataset.
Dataset Monitors can now send change alerts to a Slack channel and to a signed webhook on your own systems, alongside email. The trigger stays the same: a genuine statistical change. Only the destination is new.