Data Engineering
The 2026 State of Data Engineering Survey found that data teams spend 34% of their time on data quality and 26% firefighting. That's 60% of the week reacting to problems. The numbers reveal a vicious cycle: pressure to move fast creates the fires that slow teams down.
Open Source
Most data quality tools ask you to trust them with database access. AnomalyArmor's Query Security Gateway is open source, so you can verify exactly what queries we run. Choose from three access levels, Schema Only, Aggregates, or Full, and audit every query attempt.
Data Quality
Every data quality vendor checks the same feature boxes. What actually separates good tools from mediocre ones is time to value, noise control, pricing transparency, and workflow integration. Here's what to evaluate and the questions to ask before you buy.
Schema Drift
Schema drift is when your database schema changes without downstream systems knowing. Column renames, type changes, and dropped tables silently break pipelines while your monitoring stays green. Learn the five types of schema drift and how to detect them before your dashboards go wrong.
Data Observability
AnomalyArmor automates alerts for schema changes, freshness, and data quality. It's affordable, scalable, and user-friendly