Data observability,
by problem.
Three different jobs sit under one umbrella term. Pick the cluster that matches the problem you're actually solving — not the one the vendor named loudest.
"Data observability" covers three different jobs that share an idea — knowing what's happening to data — but split sharply on which question you're asking. Quality tools answer is this data right? Catalog tools answer where is the data I need? Lineage tools answer what breaks if I change this?
A single platform sometimes claims all three. In practice the depth differs by an order of magnitude per cluster, so it's worth picking the cluster first and the tool second.
Three symptoms, three clusters.
"Bad data made it to production again."
Catch bad data before it ships
11 tools indexed
Pre-production and post-production checks on warehouse correctness, freshness, and schema. Includes assertion-style tests authored alongside dbt models and ML-based anomaly detection that watches the warehouse from the outside.
Browse cluster →"I can't find the right table — and I'm not sure who owns it."
Find the right asset, fast
7 tools indexed
Asset inventory, business glossary, ownership tracking, semantic search across tables, dashboards, dbt models, and ML features. Increasingly LLM-native.
Browse cluster →"I have no idea what breaks if I change this column."
See cause and effect across the stack
3 tools indexed
Cross-system data flow tracking, column-level lineage, impact and reverse-impact analysis, and increasingly OpenLineage-conformant metadata exchange between tools.
Browse cluster →The most recent checks.
Every entry has a verification date. These are the most recent checks against vendor docs, pricing pages, and (where possible) hands-on trials. Or browse all 21 tools alphabetically.
- Acceldata Quality & testing Verified 2026·05·30 →
- Alation Catalog & discovery Verified 2026·05·30 →
- Collibra Catalog & discovery Verified 2026·05·30 →
- dbt-expectations Quality & testing Verified 2026·05·30 →
- Metaplane Quality & testing Verified 2026·05·30 →
- Secoda Catalog & discovery Verified 2026·05·30 →
Side-by-side, by cluster.
Each comparison pairs two same-cluster tools a real buyer would shortlist together, surfacing where their specs differ.
Shortlists by role & scope.
Switching tools is a project.
Migration playbooks are derived from each tool's declared migration paths — when a tool names another as a source or destination, the pair shows up in the hub. Browse all migrations →
About this vertical.
Data observability is the first vertical indexed because the tooling landscape is dense, the buyer questions are sharp, and the schema for comparing tools is well-defined. Other verticals — BI, ingestion, transformation, orchestration — are being scoped; see the coverage page for the current state.