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 Engineering
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
Data Quality Agents Compared: Monte Carlo, Acceldata, and the Agent-Native Approach
Monte Carlo, Acceldata, and Datadog's Metaplane all ship data quality agents now. Most are a language model bolted onto a legacy dashboard. Here's an honest comparison of the agent approaches and where an agent-native tool fits.
Data Observability
OKF vs RAG for Data Warehouse Context: Why We Chose a Living Knowledge Base
Google's Open Knowledge Format (OKF) formalizes the "LLM Wiki" pattern: give an agent a curated markdown knowledge base instead of RAG over raw chunks. We've run a variation of that for warehouse context since 2025. Here's why a living knowledge base beats RAG, and where RAG still wins.
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.