Cloudera launches all-in-one data lakehouse service

The new Cloudera Data Platform (CDP) One data lakehouse service enables self-service analytics and exploratory data science in one location

Coming with built-in enterprise security and machine learning (ML), CDP One is designed to increase productivity for data practitioners and developers, and enable faster time to business insight to drive innovation and stay ahead of the competition.

As a centralised all-in-one service, risks around cloud migration — such as data loss and incompatibility — can be minimised, with low-code tools, streaming data analytics and ML included for performance of ad-hoc, customisable analysis across the full data lifecycle.

According to Ventana Research, almost three-quarters of organisations continue to run analytics and data workloads on-premises, with security, a lack of skills and resources, and regulatory challenges key factors in difficulty utilising cloud computing.

What’s more, Salesforce has found that 73 per cent of digital workers did not feel they had digital skills needed by businesses, whilst 76 per cent did not feel ready for the future.

“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, CTO of 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.”

Differentiation from competing offerings

Unlike other SaaS products that may lock organisations into a single vendor or limited amount of tools, CDP One provides zero ops functionality that enables self-service analytics on any type of data without the need for specialised ops or cloud expertise.

It has been calculated that the offering reduces overall TCO by 20-35 per cent when including initial setup and operations of platform ops, sec ops and support — versus DIY cloud solutions.

Mike Feibus, president and principal analyst of market research firm FeibusTech, said: “It’s inspiring to see what insights organisations can uncover from their data once the barriers are removed.

“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.”

CWT: a travel sector case study

One early adopter of this platform is business travel management company CWT, which needed a data lakehouse to enable more users to run analytics on complex and sensitive data, without requiring highly technical expertise or resources.

“CDP One was truly the right solution at the right time, rapidly delivering secure and compliant global data science and advanced analytics,” explained CWT senior director, enterprise architect for data, Gordon Coale.

“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.”

The new CDP One data lakehouse service from Cloudera is available now.

Related:

Keeping up with data: SaaS, unstructured data and securing it with identity — Grady Summers, executive vice-president, product at SailPoint, discusses the need for data protection to keep up with the surge in SaaS applications, and how identity security can help.

Four key considerations when moving from legacy to cloud-native — Erik Sonnerskog, head engineer at zsah, cites four key considerations that organisations should make when moving from legacy to cloud-native.