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Waterline Data Named on Constellation ShortList™ for Fourth Straight Year

The Report Marks the Company’s Sixth Appearance on a Constellation ShortList Since 2016

Mountain View, Calif.—March 7, 2018Waterline Data, a global leader in data cataloging solutions and applications, today announced the company was named to the Constellation ShortList™ for Data Cataloging for the fourth straight year. It is the company’s sixth appearance on a ShortList since 2016. Constellation evaluated over a dozen solutions and selected Waterline Data based on client inquiries, partner conversations, customer references, vendor selection projects, market share and internal research.

“We’re excited to once again be featured in Constellation Research’s ShortList for Data Cataloging,” said Kailash Ambwani, CEO of Waterline Data. “Our AI-driven Data Catalog 5.0 with its newly-patented Fingerprinting™ technology is the latest in a long line of data cataloging innovations that Constellation Research has been recognizing for years and no wonder–no other data catalog in the world offers enterprises faster tagging or smarter insights.”

Data Catalogs are an Indispensable Resource

With data volumes and variety exploding, data catalogs are fast becoming an indispensable resource for today’s petabyte organizations. The Waterline AI-driven Data Catalog was specifically designed to resolve the challenges of high volume and high variety data by creating a real-time, virtual view of all of the enterprise’s data even as new data pours in. The platform provides an easy to use “shop for data” interface that lets business analysts use everyday terms to find the data sets they need for self-service analytics without having to rely on IT.

With Waterline Data, enterprises can also quickly meet GDPR and other regulatory requirements while ensuring all data remains in a permanent state of compliance. Waterline works across an organization’s entire distributed data estate, whether the data resides in the cloud, relational databases, on-premises or a hybrid environment.

The Latest Version of Waterline Data’s AI-driven Data Catalog

Leveraging Waterline’s newly-patented Fingerprinting technology, the latest version of the Waterline AI-driven Data Catalog adds to Waterline’s ability to catalog individual data items, automatically and at scale, by now allowing organizations to work with related data sets across the enterprise for far deeper and cleaner insights than any other catalog can provide. Waterline Data’s Fingerprinting method is driven by AI-based, machine-learning technology that analyzes thousands of points per field in each data set. Combined with human oversight, Waterline’s Fingerprinting technology reduces manual tagging of data by over 80%, allowing organizations to derive value from highly trusted data in days instead of weeks or months.

“Best-of-breed catalogs search and serve up insights into available data assets in automated ways while also providing collaborative tools that enable users to comment on and enhance what is known about the value and usage of that data,” said Doug Henschen, vice president and principal analyst at Constellation Research. “Data cataloging is important for any organization that wants to make the most of its data, particularly as data sources and data-driven applications multiply and as data scale and diversity grows.”

For more about Waterline Data’s AI-driven Data Catalog 5.0, visit our product page or blog.


About Waterline Data:

Waterline Data automates data discovery, compliance and the ability to take action on data by using a powerful combination of artificial intelligence, machine learning, ratings and reviews, and tribal knowledge to deliver an AI-driven Data Catalog. Our customers spend less time searching for data and more time using it to derive value while complying with data governance mandates such as GDPR. The company is funded by Menlo Ventures, Jackson Square Ventures, Partech Ventures, and Infosys, and implemented in large enterprises around the globe. Founded in 2013, the company is headquartered in Mountain View, California. For more, visit us via, Twitter or LinkedIn.