Cloudera launches all-in-one Data Lakehouse Cloud Service

New SaaS offering is simple, yet powerful, enabling businesses to deliver valuable insights faster.

  • Friday, 19th August 2022 Posted 2 years ago in by Phil Alsop

Cloudera has launched Cloudera Data Platform (CDP) One, an all-in-one data lakehouse software as a service (SaaS) offering that enables fast and easy self-service analytics and exploratory data science on any type of data. A simple yet powerful cloud service, only CDP One has built-in enterprise security and machine learning (ML) that requires zero cloud, security or monitoring operations staff for lower TCO and reduced risk. Designed to make both data practitioners and expert developers more productive, companies can now achieve faster time to business insight to drive innovation and stay ahead of the competition. 

According to Ventana Research, almost three-quarters of organizations continue to run analytics and data workloads on premises. Security, a lack of skills and resources, and regulatory challenges are the primary reasons why organizations do not plan to use cloud computing for analytics and data.

 

As the first all-in-one data lakehouse SaaS offering, CDP One makes it faster, easier and less risky for businesses to make their move to the cloud and migrate existing workloads to a modern data architecture. Everyone from novice data practitioners to skilled developers can now take advantage of low-code tools, streaming data analytics and ML to perform ad-hoc, and highly customizable analysis across the full data lifecycle via one secure, centralized data platform. 

 

“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 cloud innovation, CDP One, joins our family of CDP cloud data services to completely alter the equation, shaving months or even years from implementation timelines and providing comprehensive data security.”

 

One of the companies leveraging the benefits of CDP One is business travel management company CWT.  “We needed to build a data lakehouse to enable more users to run analytics on their complex and sensitive data, but didn’t have the right expertise to manage it, or time to hire additional resources,” said Gordon Coale, senior director, enterprise architect for data at CWT. “CDP One was truly the right solution at the right time, rapidly delivering secure and compliant global data science and advanced analytics. CDP One was ready to accept data in just two days, and some use cases went into production in just four weeks. And we did not need any new staff to make this happen.”

 

“It’s inspiring to see what insights organizations can uncover from their data once the barriers are removed,” said Mike Feibus, president, and principal analyst of market research firm FeibusTech. “Tearing down those barriers has been Cloudera’s mission since I’ve been following the industry. And now, finally, the self-service simplicity of CDP One is making those insights accessible for a whole new class of companies. Watch for services like CDP One to emerge as the Holy Grail of the data-driven era.”

 

Unlike other solutions that solve only part of the problem or lock users into a limited number of analytic tools, CDP One: 

 

Is the first data lakehouse SaaS offering with cloud compute, cloud storage, ML, streaming analytics, and enterprise grade security built-in.

Provides Zero Ops functionality that enables fast and easy self-service analytics on any type of data without the need for specialized ops or cloud expertise.

Is built with the same Cloudera technology that was rated better for analytic and operational use cases by leading industry analysts than the point product vendors or point services from hyperscalers.

Reduces overall TCO by 20% to 35% when including initial set up and operations of platform ops, sec ops and support, versus DIY cloud solutions.