Yellowbrick Data Partners with Nexla to Offer Integrated Data Collaboration

Hybrid cloud data warehouse company Yellowbrick Data is partnering with Nexla to offer a cutting-edge platform for intercompany data collaboration between or among a company’s customers, suppliers, or other third-party data providers.

As part of their partnership, the companies are working on technical certifications and performance tuning as well as joint go-to-market opportunities.

“Nexla focuses on data collaboration among a company and all its various partners and has developed a solution that is both highly scalable and highly secure,” said Allen Holmes, vice president of business development at Yellowbrick Data. “With the tremendous performance and implementation flexibility of Yellowbrick’s hybrid cloud data warehouse, enterprises can gain faster time to insights from a variety of data sets critical to their business operations and success.”

Nexla is a data operations platform that helps teams create scalable, repeatable, and predictable data flows for any data use case.

Its no-code SaaS tools give analysts, operations, and business teams the self-service ability to discover, integrate, prepare, and deliver data from internal systems, ecosystem partners, and SaaS services into the Yellowbrick data warehouse.

Engineers can collaboratively help the data users, while getting the benefit of automated operations, extensibility via APIs, and choice-of-anywhere deployment.

The Nexla partnership is part of Yellowbrick’s ongoing strategy to build the most complete and robust partner ecosystem in the data warehousing industry.

Thanks to a familiar, standards-based PostgreSQL front end, customers can confidently deploy Yellowbrick knowing that they can leverage their existing database infrastructure and employee skill sets associated with innovating pioneers such as Nexla—without having to worry about complex integration.

The combination of Yellowbrick’s hybrid cloud technology and complementary solutions such as Nexla can help enterprises improve data analytics capabilities, achieve faster time to insights, facilitate more effective business decision-making, and innovate and thrive in the competitive global marketplace.

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