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DataHub can tell you a table is cold. It cannot tell you that half a table is cold — and it cannot move a single byte. ColdLineage does both and writes the receipt back into DataHub.
Data tools rank problems by how broken something is. Paracelsus ranks them by how much harm can actually reach someone, then writes the verdict back into DataHub. The dose makes the poison.
Every affected model. Traced. Resolved.
Trust the graph. Not the prompt.
Catch context regressions before they break your AI agents—test DataHub metadata, lineage, semantics, retrieval, and agent behavior before changes reach production.
Undertow blocks ML deploys when upstream data breaks — traces it, names the engineer, stops CI.
Rootline finds what went wrong, proves why, shows what is affected, fixes it, verifies the fix, and remembers what it learned in DataHub.
An agent must fix a city it cannot see, using only SQL. Four modes: no DataHub, DataHub docs, DataHub docs plus live assertions, and DataHub's own agent. Same model, same crisis. Measured.
DataHub knows what your data is. Lore knows why.
Natural language search over your DataHub catalog using sentence embeddings — finds the right dataset by meaning, not just keyword matches.
A self-healing data pipeline agent built on the DataHub context graph.
Keystone ranks your data estate by what would hurt most if it broke — so a team with time to protect one thing protects the right one.
ChangeSafe by Luca uses DataHub’s metadata graph to find schema-change consumers, generate tested migrations, package them for Git review, and record decisions back in DataHub.
Govern AI agents before they change production metadata. DataHub context drives deterministic risk, approval-bound one-use permits, verified mutations, replay protection, and searchable receipts.
Autonomous SRE agent powered by DataHub MCP & GitHub Actions that detects breaking schema changes in PRs, traces column lineage, and auto-generates dbt fixes.
AI agents buy datasets with micropayments and every payment auto-splits as royalties up the DataHub lineage graph. Your catalog already knows who built the data. Now it can pay them.
LineageFix reviews critical database schema changes before they reach production
InternHub tailors your résumé to internships using your courses, projects, and experience, so every claim is relevant, credible, and backed by real evidence.
Prod-ML-Fort scans DataHub's ML lineage graph in real time, catching model drift, label leakage, orphaned models, duplicate features, and PII training data before they hit prod.
Prevent data disasters before they happen. ChangePilot maps the blast radius of data changes and autonomously generates the fixes.
Which revenue number is right? MetricCourt puts every conflicting metric definition on trial, writes one canonical truth back to DataHub, and lets DataHub's own Analytics Agent answer from it.
A pre-commit dbt lineage guardian that intercepts GitHub PRs, traces downstream impact through DataHub via MCP, and blocks merges that would silently break production ML models.
ADIP is an autonomous 8-agent ecosystem that converts software code and UI exploration into interactive 3D video demos and Playwright QA suites
Less Slack, more track. AI standups, summaries, blockers, and DataHub-backed answers that keep teams moving.
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