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Cloudera and IBM

Delivering enterprise data and analytic solutions from the edge to AI

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“The strategic partnership of Cloudera and IBM is leading the way in the acceleration of data-driven decisions for organizations seeking consistent data security, governance, and control across all hybrid and multi-cloud environments. This relationship enables companies to derive better business insights by integrating data gathering, analytics and modeling for faster and more accurate business decisions.”

Gary Green Vice President, Strategic Partnerships, Cloudera.

2022 Cloudera Partner of the Year


CDP Private Cloud extends cloud-native speed, simplicity and economics for the connected data lifecycle to the data center, enabling IT to respond to business needs faster and deliver rock-solid service levels so people can be more productive with data.

Better Access, Better Analytics, Better Decisions!

IBM and Cloudera have partnered to offer an industry-leading, enterprise-grade Big Data distribution plus an ecosystem of integrated products and services – all designed to help organizations achieve faster analytic results at scale. As a part of this partnership, IBM provides:

  • Resell and support of Cloudera products
  • Sell and support of (legacy) Hortonworks products under a multi-year contract
  • Migration assistance to future Cloudera/Hortonworks unity products

Benefit from the combined IBM and Cloudera collaboration and investment in the open source community and commitment to cloud to better support analytics initiatives from the edge to AI. The partnership brings all data together across a connected data platform covering data in motion and data at rest to extract meaning from it, powered through IBM's data science experience.

Read the Analyst Report: Greater Choice and Value for Advanced Analytics and AI

What does this do for our customers?

Customers have large scale data assets on-prem and they also want to use the latest cloud technology.

IBM and Cloudera gives customers both alternatives on prem and cloud for more innovation!

As part of the partnership, IBM will resell Cloudera DataFlow. In addition, Cloudera will begin to resell IBM's Watson Studio and BigSQL.


Deploy a single solution for big data

IBM and Cloudera together offer an enterprise-grade Hadoop distribution in combination with an ecosystem of integrated data and analytic solutions that are designed to help you collect, govern, secure, access and explore big data.

Optimize the power of open source

IBM and Cloudera are committed to the open source community, applying open standards and interoperability to their products and solutions to foster innovation.

Drive high-performance analytics

Better store, explore and manage big data, connecting your data scientists to data silos across the organization. Drive self-service access and real-time decisions by transforming complex data into clear actionable insights.

Empower hybrid and multicloud

Benefit from industry-leading security and portability across your hybrid and multicloud environments. Drive better customer interactions, improve processes and innovate faster by aggregating data across your organization and making more accurate data-driven decisions.

"Our work with Cloudera, and prior to that, with Hortonworks is a great extension of our efforts to help clients leverage Hadoop in meaningful ways, to store and process big data,"

Paul Rivot, Strategic Alliance Executive at IBM Analytics

Build a solution that optimizes the potential of big data

IBM/Cloudera products

Cloudera Data Flow

Manage your data from edge to enterprise with a no-code approach to easily developing streaming applications.

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Cloudera Data Platform

CDP manages and secures the data lifecycle across all major public clouds and the private cloud—seamlessly connecting on-premises environments to public clouds for a hybrid experience.

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IBM value-adds

Big data and platform services

Benefit from both custom and as-a-service offerings to better manage and drive actionable analytic solutions. Services drive strategy, blueprints and roadmaps, along with engineering and operations to maximize your data investment.

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IBM Db2® Big SQL is an enterprise-grade, hybrid ANSI-compliant SQL-on-Hadoop engine, delivering massively parallel processing (MPP) and advanced data query. Db2 Big SQL offers a single database connection or query for disparate sources such as HDFS, RDMS, NoSQL databases, object stores and WebHDFS. Benefit from low latency, high performance, security, SQL compatibility and federation capabilities to do ad hoc and complex queries.

Versions available for HDP 2.6.x, HDP 3.1, CDH 5.x, and CDP 7.1.3+.

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IBM Spectrum Scale

IBM Spectrum Scale is software defined file storage solution built for managing data at multi-petabyte scale with the distinctive ability to perform archive and analytics in place. It offers data access with high performance making it suitable for running a variety of AI & Big Data workloads. Enterprises choose IBM Spectrum Scale as common data plane to run various enterprise workloads to meet scalability and performance requirements of various workloads while obtaining optimal storage footprint.

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IBM Power Systems

Cloud-ready servers built for the most demanding, data-intensive computing on earth. Unleash insight from your data pipeline — from managing mission-critical data, to managing your operational data stores and data lakes, to delivering the best server for cognitive computing.

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Services and support

Multi-vendor open source support

Simplify with IBM vendor-agnostic support. Whether you are using community editions, commercial products, individual packages or a complex software stack, IBM can support your entire open source ecosystem.

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Big data and platform services

Benefit from both custom and as-a-service offerings to better manage and drive actionable analytic solutions. Services drive strategy, blueprints and roadmaps, along with engineering and operations to maximize your data investment.

Use Cases

Build a better data lake

Challenge: Building an enterprise Hadoop-based data lake can be the perfect solution for storing, exploring and managing today’s big data. The data lake allows for the ingestion of new semi- and unstructured data sources, including streaming audio and video, social media, sentiment and click-stream data.

The challenge for the enterprise is to build a data lake that has the proper level of security, data governance and the analytic tools needed by its data scientists to drive tasks such as reporting, visualization and machine learning.

Solution: IBM and Cloudera are offering an enterprise data platform with integrated products and services to speed time to value when collecting, managing, governing, accessing and exploring big data.

Meet the growing challenges of AI

Challenge: Being able to accurately predict customer behavior, process machinery failures and detect fraudulent behavior using machine or deep learning is the basis for AI. To discover the patterns in data and generate the most accurate insights, all sources of data must be accessible.

The first challenge for the enterprise is accessing the data across the organization — from data marts, warehouses, hybrid and multiclouds. The second is having the data science tools and business analytics to empower data users to economically extract meaning from and interpret complex data sets.

Solution: IBM and Cloudera are driving AI with solutions that give organizations the ability to unlock the value of data in new ways, deploy and manage business models, predict future outcomes and automate processes for better data-driven decisions.

Offloading EDW data and ETL workloads

Challenge: Explosive growth of data has forced organizations to use their enterprise data warehouse (EDW) for purposes that it was never intended for — including running extract, transform, load (ETL) workloads and storing large volumes of unused data.

The challenge for the enterprise is to harness the new types of data, updated analytics practices and more efficient, cost-effective methods of storing and accessing data.

Solution: One of the most effective modernization approaches is offloading EDW data and ETL workloads to a flexible platform that provides economical storage, incorporates current technologies for machine learning and analytics and is optimized for the cloud.

About IBM

International Business Machines Corporation or IBM is an American multinational technology and consulting corporation headquartered in Armonk, New York. IBM manufactures and sells computer hardware and software, and it offers infrastructure, hosting and consulting services in areas ranging from mainframe computers to nanotechnology.


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