Comparisons, guides, and insights on AI-powered data analysis.
We built an Oracle Payables datamart, broke it nine ways, and tested it twice: with tests generated from its mapping, and with Verum. Here is the scorecard, bug by bug.
Looking for a Julius AI alternative? Compare 7 tools for AI-powered data analysis — from governed analytics to open-source options. Find the best fit for your team.
An honest, reproducible benchmark: GPT-5.5 vs Claude Opus 4.8 vs Eternity on a deliberately ugly Indian CA ledger — accuracy, speed, and token cost. We show our failures too.
A tour of what Eternity actually does: View-SQL on every answer, row-level lineage, confidence + refusal, reproducible snapshots, automatic join discovery, data-quality checks, and connectors.
dbt tests, Great Expectations and Monte Carlo check whether your warehouse is internally consistent. None of them check whether it is correct. That is a different problem — here is how to close it.