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Data Hub Reviews

Vendor: DataHub
4.4 out of 5

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Last updated Mar 1, 2026

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Data Hub Reviews Summary
Author infoRatingReview Summary
Software Engineer at a tech vendor with 10,001+ employees4.5I've used Data Hub to streamline metadata management on AWS, improving data discoverability, lineage, and governance, despite a complex initial setup; it's reduced documentation effort, onboarding time, and reliance on senior engineers, making data more accessible and trusted.
Director at a university with 1-10 employees3.5I use DataHub (Acryl) on AWS to centralize metadata, assign ownership, and tag/classify PII for GDPR DSAR. AD and Slack integrations aid discovery and save time, and it’s stable and scalable. I want better admin UI and more AI-driven classification.
Partner at a tech vendor with 10,001+ employees5.0I use Acryl Data for customer insights. Its simple UI speeds development by 50%, saving time and money. I've found no areas for improvement and rate it a perfect 10. My advice: start faster with analytic insights.
AWS Practice Leader & Network Cloud Business Head for OneCloud at a tech vendor with 10,001+ employees4.5I use Acryl Data for analytics, finding its scalable storage, ease of use, and good UI valuable for processing large data. It's stable, efficient, and has provided a good ROI. Customer support and setup were also good.