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Column-level lineage, cross-system, computed from source code
Covers systems whose jobs haven't run recently
400+ connectors across legacy, cloud, and hybrid sources
Root cause traced to the specific transformation
A column gets renamed, a table gets restructured, and the downstream damage surfaces in production when a dashboard breaks or a report goes out wrong.
After the incident, root cause means tracing by hand through disconnected systems: job logs, tribal knowledge, whoever happens to be on call that week.
The analysis that should have run before the change ends up running after something already broke.
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MetaKarta parses the actual code: SQL, ETL logic, stored procedures, BI definitions. The dependency graph reflects what was designed. Log inference reports what happened to execute inside an observation window.
That makes impact analysis complete by construction. Every downstream consumer of a column appears, including the ones sitting in systems whose jobs haven't run in months.
When something breaks anyway, the same engine runs in reverse: from the wrong number on the report back to the transformation that produced it.
Lineage by design, not by observation.
Know the blast radius before the first ticket lands.
The trace from a broken number to its transformation is a query against the repository.
A definition you can't trace is a definition you can't trust.
MetaKarta establishes the shared metadata foundation organizations have been trying to patch together for years: trusted BI, reliable AI, and defensible governance, compiled into every architecture, every cloud, and every tool. No runtime dependency. No vendor lock-in. No greenfield start required.
