Cloudera’s Debut of CDP One Promises Accessible and Efficient Data Migration to the Cloud

Cloudera, a hybrid data organization, is debuting its Cloudera Data Platform (CDP) One, an all-in-one data lakehouse SaaS, promising accelerated and accessible self-service analytics and exploratory data science on any data type. According to the company, CDP One delivers enterprise security and machine learning (ML) without requiring staff, resulting in lower TCO and reduced risk. CDP One is for customers who desire a low-code, self-service solution in conjunction with CDP One, which was not previously offered.

CDP One is the first all-in-one data lakehouse SaaS offering allowing for high speed/low risk data migration for existing workloads into the cloud, according to the company. The platform is built for customers with vast data needs in terms of both the amount and its management, compiled into a secure and compliant system. The platform offers low-code tools, streaming data analytics and ML to perform ad-hoc, as well as highly personalized analysis for the full data lifecycle through a centralized data platform. Among the features of CDP One, the platform consists of built-in services like cloud compute, cloud storage, ML, streaming analytics, and  personalized data analytics.

“Empowering everyone in your business to get the real-time insights they need to make the right decisions requires building a truly modern data architecture in the cloud,” said Ram Venkatesh, chief technology officer at Cloudera. “Many businesses don’t have the resources, time, or expertise to make this transformation happen. Cloudera’s latest innovation, CDP One, completely alters the equation, shaving months or even years from implementation timelines and providing comprehensive data security.”

Cloudera’s focus is efficient collaboration, according to the company. CDP One’s conception as a platform adheres to these values, emphasizing a “better together” mentality to describe the openness of the platform. Cloudera is committed towards continuous research of the ways to improve data integration and further invest in hybrid capabilities for data and workload migration and management. CDP One’s efficiency standards enable customers to take advantage of public cloud capabilities in a way that is both efficient and most accessible to them. CDP One’s self-service and low-code structure provides the foundation for public cloud accessibility to businesses at any level of cloud expertise. Through CDP One, Cloudera offers its customers the ability to enjoy the benefits of cloud migration without the stipulation of requiring cloud expertise or the onboarding of those that do.

“For example, if you’re a data scientist, you want to spend your time analyzing the data, not in preparing and cleaning the data,” said Venkatesh. “So what self-service data practitioners experience is one of the highly requested features on our platform, and one of the things CDP One addresses out of the box, is that it is a self-service experience… we’ve added a low-code experience that lets them do the entire workload all in the context of a single, end-to-end user experience, which involves minimal effort on their side.”

According to Venkatesh, “in the context of CDP One, we’ve spent a lot of focus in making sure that it's not just the individual practitioner, but it's really teams of practitioners to be able to efficiently implement use cases working together as small, agile teams. That’s a core focus for us as a company, and that’s very valuable to our customers”.

The future of Cloudera seeks to embrace an open ecosystem with further data migration between CDP and various connectors to data sources, as well as Cloudera data interoperability with other solutions, according to the company.

To learn more, please visit