Data Quality
What Is a Data Contract and Do You Actually Need One?
A data contract is enforced in the producer's pipeline. Most teams asking for one actually want monitoring. How to tell which you need.
Data Quality
A data contract is enforced in the producer's pipeline. Most teams asking for one actually want monitoring. How to tell which you need.
Data Quality
dbt tests check assertions you wrote, at build time, on tables dbt owns. Every word in that sentence is a boundary. Here is what lives outside each one.
Data Quality
Datafold's CEO wrote in March that data quality "didn't pan out" as a category, and pivoted. If you bought it for data quality, that is your answer.
Data Quality
Elementary is genuinely open source and genuinely good. The question is what happens to the tables dbt never touches, and what June's merger changed.
Data Quality
Soda's 2026 pricing is public, Soda Core is no longer open source, and nobody exports to ODCS. An honest comparison, including where Soda wins.
Data Quality
An agent's confidence score tells you what kind of evidence it found, not whether it is right. Four checks that separate a citation from a guess.
Data Quality
Great Expectations is free to install and expensive to maintain. What the alternatives change, and how to port your suites without losing them.
Snowflake
Setting up a data quality agent on Snowflake or Databricks takes one connection, not a test-writing project. Connect the warehouse, let the agent profile your tables and build its knowledge base, and it starts monitoring and investigating on its own. Here's the walkthrough.
Data Quality
A data quality agent is software that watches your warehouse, investigates problems, and explains them on its own, instead of making you check a dashboard. Here's what that means, how it differs from rule-based monitoring, and why the category showed up in 2026.
Data Quality
Data observability costs range from $0 open-source (you pay in engineering time) to five-figure enterprise contracts. This guide breaks down every pricing model, the hidden costs nobody quotes, and a total-cost formula you can run on your own warehouse before any sales call.
Data Quality
dbt tests fail silently more often than they fail loudly. Warn-severity tests, skipped models, freshness gaps, and tests that only run in CI all let bad data through without paging anyone. This guide covers the patterns that hide failures and how to catch them.
Data Quality
Bigeye is an enterprise data observability platform priced for enterprise procurement. An honest comparison with AnomalyArmor: what Bigeye does well, where its pricing and sales model is a mismatch for mid-market teams, and when each tool is the right call.