Parser-based, column-level impact analysis across the full estate
Reverse-engineers Power BI XMLA, Tableau TMDL, LookML, and more
400+ connectors across legacy, cloud, and hybrid sources
Version history through every phase of the cutover
The team doesn't know what depends on what, so a schema change cascades silently into production and surfaces as a broken dashboard weeks later.
Or the team rebuilds years of BI semantic models from scratch in the new platform's native format. Expensive, slow, and usually slightly wrong in ways that only show up during UAT.
Both failure modes are avoidable. The tools most organizations already own address neither one.
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Parser-based lineage computes every downstream dependency from the actual code, so automated impact analysis runs before the first query touches the new environment.
The reverse-engineering engine reads existing BI tool definitions and imports them into the shared repository as governed starting points, with owners and version history attached.
From there, Semantic Hub compiles those definitions into the new platform's native format, and into every other target that reports the same metric.
Import what you have. Model what you need. Compile and deploy anywhere.
Impact analysis covers the full estate, including the systems whose jobs haven't run recently.
Existing BI models enter the new platform as governed definitions, with owners and version history already attached.
Through the cutover window, both environments compile from the same governed source.
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.
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