Data Engineering
How to Get Lineage From a dbt Manifest Without a Migration
Your dbt project already contains a complete dependency graph. It is sitting in target/manifest.json, and getting it out takes one command.
Schema Drift
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 Engineering
How Do You Find the Blast Radius of a Broken Table?
One table breaks and forty alerts follow. Lineage turns that noise into a named root cause and a list of exactly what went stale.
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.
Data Observability
Citations for Your Data Incidents: Introducing EvidenceCapsule
When an AI agent answers "why is this table stale?" the hardest question is whether you can trust the answer. EvidenceCapsule is a typed investigation output where every claim cites the row it came from, so you can click through and verify.
Data Observability
How AI-Native Data Observability Changes Incident Response
Most data observability tools shorten the time to know something broke. AI-native observability shortens the time to know what broke, what depends on it, and what to do next. Here is what that workflow actually looks like during a real incident.
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 Observability
A Data Observability Tool That Works From Inside Your AI Assistant
Cold outreach converts at 0% when prospects must hand warehouse credentials to a stranger's SaaS. We shipped a Claude Code plugin that runs against a real demo warehouse with no signup, API key, or credentials. How we built it on existing infra, and what we chose not to build.
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.