We use the solution to monitor vulnerabilities. I use metaphactory to create semantic data as part of our data architecture. We're building data products, lifting data to be used internally for better products. It's mainly used for managing metadata of existing data, including data models, lineage, ownership, and data contracts.
Pros
"metaphactory is a central tool for implementing these data products. We're considering it for pharmaceutical modeling and connecting to graph databases. It's the only product our company uses with Graph DB.
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Cons
"For improvements, I'd like to see more maturity in the product, especially regarding enterprise vendor lock-in. The whole area isn't mature enough yet. I think it will develop over time. More competitors are coming up now. I'd like to see better integration with specific vendors who specialize in managing data products. We need more standards beyond the W3C standards from the semantic web that have been around for twenty-five years.
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