Sep 8, 2026The "Chat-With-Your-Data" Trap: Why AI in BI Needs a Semantic LayerExploration should be probabilistic. Publication shouldn't be. A follow-up on what "well-governed" actually has to mean before you point an agent at your warehouse, and why the semantic layer is where you draw the line.
AISep 3, 2026Replacing Tableau with Streamlit on Snowflake, Built by Claude CodeBI is becoming software. Here's how we helped a client cancel Tableau and rebuild their executive-blessed metrics as Streamlit apps on Snowflake — scaffolded, validated, and shipped by Claude Code, version-controlled like any other code.
AIJun 5, 2026The Six Month YAML ProblemWhy building a real open-source data platform from scratch takes six months. Sometimes a year. A breakdown of where the time actually goes.
EngineeringJun 5, 2026The Magic of SkaleDataWhy running four open-source tools together, in production, inside multiple customer clouds, at scale, is a fundamentally different problem than running one of them for yourself, once.
EngineeringJun 5, 2026We Tried to Build a Data Stack with AI. Here's What Actually Happened.AI coding tools are remarkably good at writing infrastructure code. Here's why that makes SkaleData more necessary, not less.
AIJun 5, 2026The Data Stack Problem at Every Funding StageSeries A, Series B, Series C, and regulated industries. What's actually breaking in the data platform at each stage, what teams try first, and where SkaleData fits.
StrategyJun 5, 2026You Don't Have a Data Infrastructure Problem. You Have a People Problem.Most data leaders aren't looking for a new tool. They're carrying a quiet anxiety about the one they already have.
LeadershipMay 27, 2026Your Airflow Vendor Wants Your DAGs to Be ExpensiveMWAA, Cloud Composer, and Astronomer all make money when your Airflow consumes more compute. SkaleData doesn't. The difference shapes their roadmaps, their defaults, and your bill.
PricingMay 26, 2026Launching SkaleDataWhy we're building a managed data platform that runs in your cloud — not ours.
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