The Ultimate Guide to Data Catalogs
Author Dave Wells describes the value of data catalogs in today’s challenging data management landscape.
Faster Tagging. Smarter Insights.
Waterline’s data catalog speeds time to insights leveraging machine learning, fingerprinting and open APIs
Discover ALL of your Data Throughout the Enterprise
Get insight into all of your data assets, including sensitive data and other “dark” data for greater visibility, quality, and control. LEARN MORE
Comply with Data Regulations
Our Advanced AI and patented ™ data fingerprinting automatically identifies sensitive information to get the right data into the hands of the right users. LEARN MORE
Get Accurate Insights in a Fraction of the Time
An intuitive web interface designed for business users to search using business terms means less time spent finding data and more time analyzing it
What Customers Are Saying
Our customers are our best storytellers. Learn how Waterline Data has helped organizations to accelerate sensitive data discovery and speed time to insights
The Waterline Data Advantage
Immediate Data Discovery
Advanced AI and patented™ data fingerprinting automatically populates your data catalog, reducing the time of manual effort to tag data producing faster results and significant cost savings.
Protect Sensitive Data in your Data Lake
Gain control and visibility over sensitive data, reducing time to compliance.
Respond quickly to regulatory requests like GDPR and reduce risk of penalties.
To learn more about Waterline’s sensitive data management, click here.
Increase Flexibility with Cloud-Native Integration
Run your data catalog anywhere – including public or private cloud or hybrid cloud infrastructure
To learn more about Waterline’s AI-driven Data Catalog, click here.
Why Waterline Data
Improve Productivity
Reduction in people cost for manual tagging and inventoring data
Increase Efficiency
Reduction in time to get data out of “governance quarantine” and into use
Increase Accuracy
Increase in data inventory and lineage accuracy