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Waterline Data
What Does Waterline Data Do?
Waterline Data, founded in 2013 and acquired by Hitachi Vantara in February 2020, was a pioneering company specializing in AI-driven data cataloging software. Its innovative platform automated the discovery, organization, and understanding of large, diverse data assets, enabling enterprises to unlock the full value of their data. Waterline Data's technology empowered data scientists, analysts, and data stewards with tools for efficient data governance, compliance, and self-service analytics. Following the acquisition, Waterline Data's intellectual property and technology have been integrated into Hitachi Vantara's Lumada Data Catalog, enhancing its capabilities in the data management and DataOps space.
Where Is Waterline Data's Headquarters?
HQ Function
The headquarters served as the central hub for executive leadership, core product development, AI research, engineering, sales, and marketing operations for its data catalog solutions.
Notable Features:
As a dynamic startup, the HQ likely featured an open, collaborative workspace designed to foster innovation and rapid iteration, typical of Silicon Valley tech companies. Specific architectural details are not widely publicized.
Work Culture:
The work culture at Waterline Data was characterized by a fast-paced, innovative, and collaborative startup environment. There was a strong focus on leveraging cutting-edge AI and big data technologies to solve complex enterprise data challenges.
HQ Significance:
Being located in Mountain View was significant as it positioned Waterline Data at the heart of technological innovation, providing access to top talent, venture capital, and a rich network of partners and customers crucial for its growth in the competitive data catalog market.
Values Reflected in HQ: The headquarters and operations likely reflected values of innovation, agility, customer-centricity, and a pioneering spirit in applying AI to data management and governance.
Location:
Prior to its acquisition, Waterline Data operated primarily from its US headquarters in Mountain View, CA, and maintained a significant engineering and development office in Bangalore, India. Its customer base was global, with a strong presence in North America and Europe, reached through direct sales, channel partners, and strategic alliances. Post-acquisition, the technology developed by Waterline Data is available globally through Hitachi Vantara's extensive international network and sales channels as part of the Lumada Data Catalog.
Street Address:
650 Castro Street, Suite 120-360
City:
Mountain View
State/Province:
CA
Country:
USA
Where Else Does Waterline Data Operate Around the World?
Bangalore, Karnataka/India
Address: Specific street address not publicly available; operations were based in Bangalore.
To access specialized engineering talent for core product development, accelerate innovation cycles, and potentially provide global support capabilities from the region.
Buying Intent Signals for Waterline Data
Highperformr Signals uncover buying intent and give you clear insights to target the right accounts at the right time — helping your sales, marketing, and GTM teams close more deals, faster.
Who's Leading Waterline Data? Meet the Executive Team
As of April 2025, Waterline Data' leadership includes:
Who's Investing in Waterline Data?
Waterline Data has been backed by several prominent investors over the years, including:
What Leadership Changes Has Waterline Data Seen Recently?
Significant executive transitions for Waterline Data occurred around its acquisition by Hitachi Vantara in February 2020. Standalone executive hires/exits for Waterline Data have not occurred in the last 12 months as it is no longer an independent entity. Key original executives either transitioned to roles within Hitachi Vantara or departed.
Departures
New Appointments:
What Technology (Tech Stack) Is Used byWaterline Data?
Discover the tools Waterline Data uses. Highperformr reveals the technologies powering your target accounts — helping your sales, marketing, and GTM teams prioritize smarter and close faster.
Waterline Data Email Formats and Examples
Prior to its acquisition by Hitachi Vantara in 2020, Waterline Data likely used common corporate email formats for its employees. Based on typical structures for tech companies of its size, the primary formats would have likely been [first_initial][last]@[domain] or [first].[last]@[domain]. These formats are no longer active for Waterline Data as an independent entity.
[first_initial][last]@waterlinedata.com (e.g., jdoe@waterlinedata.com) OR [first].[last]@waterlinedata.com (e.g., jane.doe@waterlinedata.com)
Format
agorelik@waterlinedata.com (example based on former CEO and common format)
Example
85%
Success rate
What's the Latest News About Waterline Data?
Hitachi Vantara Newsroom • February 19, 2020
Hitachi Vantara Acquires Waterline Data To Modernize Data Analytics and Governance for the Digital Enterprise
Hitachi Vantara announced its acquisition of Waterline Data, a leader in AI-powered data cataloging. This strategic move aims to enhance Hitachi Vantara's Lumada portfolio and help customers better manage and govern their data assets using intelligent automation....more
Hitachi Vantara Blogs • May 16, 2023
Waterline Data Technology Powers Enhancements in Lumada Data Catalog v7.0 for Advanced Data Fabric
Hitachi Vantara's Lumada Data Catalog v7.0, which incorporates the AI-driven technology from the Waterline Data acquisition, was released with new features for active metadata, data discovery, and governance, strengthening its capabilities for modern data fabric architectures....more
Hitachi Vantara Analyst Relations (referencing Gartner) • October 18, 2022
Lumada Data Catalog, Enhanced by Waterline Data IP, Recognized in Gartner Magic Quadrant for Metadata Management Solutions
Hitachi Vantara's Lumada Data Catalog, integrating technology from Waterline Data, was positioned by Gartner in its 2022 Magic Quadrant for Metadata Management Solutions. This highlights its role in helping organizations effectively manage and derive value from their complex data landscapes....more
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