Data Quality
What Is the Best Soda Alternative in 2026?
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
Data Quality
How Do You Know Your Data Quality Agent Is Right?
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
What Is the Best Great Expectations Alternative in 2026?
Great Expectations is free to install and expensive to maintain. What the alternatives change, and how to port your suites without losing them.
Snowflake
How to Put a Data Quality Agent on Your Snowflake or Databricks Warehouse
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
What Is a Data Quality Agent?
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
How Much Does Data Observability Cost in 2026?
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
How to Catch Silent dbt Test Failures Before They Hit Dashboards
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
What Is the Best Bigeye Alternative in 2026?
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.
Data Quality
What Is the Best Monte Carlo Alternative in 2026?
Monte Carlo is the enterprise standard, with enterprise pricing to match. In March 2026 it cut 30% of staff. An honest comparison with AnomalyArmor: what Monte Carlo actually costs, what the restructuring means for buyers, and when each tool is the right call.
Data Quality
What Is the Best Metaplane Alternative in 2026?
Metaplane is now Metaplane by Datadog. If you picked it to stay off an enterprise observability platform, the acquisition changes the math. An honest comparison with AnomalyArmor: pricing, features, the Datadog question, and when each is the right call.
Data Quality
Why Do Data Teams Use AI to Write Code but Not to Monitor Pipelines?
dbt's 2026 State of Analytics Engineering found that 72% of data teams prioritize AI-assisted coding, but only 24% prioritize AI-assisted pipeline management. That 48-point gap is the reliability problem nobody's talking about: AI is writing the pipelines but not keeping them alive.
Data Quality
What Tools Should I Use for Data Observability in 2026?
The best data observability tools in 2026 are AnomalyArmor, Monte Carlo, Metaplane, Bigeye, Soda, Datafold, Great Expectations, Elementary, Atlan, and DataHub. This guide compares pricing, features, and trade-offs to help you choose.