Investment led by Partech Ventures with participation from Infosys and existing investors Menlo Ventures and Jackson Square Ventures funds Waterline Data's data marketplace platform
Automated data inventory for Hadoop
Catalog every field in your data lake automatically, accelerate data prep, and govern data.
Hadoop provides a more economical platform to bring any data together to uncover new business insight quickly. Ingesting raw data into Hadoop is easy, but extracting business value leveraging end-user tools is not. Hadoop is a file system without a data model, data quality, or data governance, making it difficult to find, understand and govern data. Waterline Data is an automated data discovery platform that enables finding, understanding, and governing data in Hadoop.
Unlike creating metadata manually, searching on raw data, or exploring one file at a time, Waterline Data automates at scale the discovery of technical, business and compliance metadata.
Waterline Data automates the creation and management of an inventory of data assets at the field level empowering data architects to provide all the data the business needs through secure self-service.
Waterline Data Inventory Version 2 catalogs the Hadoop data lake with expanded support for governance and semantic discovery
Waterline Data has been selected as a “2015 TiE50 Winner” for the prestigious TiE50 Technology Awards Program. Winners were announced on Friday, May 15th at the organization’s annual entrepreneurial conference, TiEcon.
David Menninger of Ventana Research explains what a data lake is, when it's safe to jump in, and what tools (like Waterline Data) you can take with you.
Buoyed by early data-inventory adoption, Waterline Data raises $16m series B
$16 million investment round led by Partech Ventures with participation from Infosys and existing investors Menlo Ventures and Jackson Square Ventures funds Waterline Data's data marketplace platform