The hybrid data imperative

We empower people to transform complex data anywhere into actionable insights faster and easier with a hybrid data platform. 

Capitalize on the value of all your data

We help businesses manage and analyze data of all types—machine data, structured data, transactional data, and unstructured data—with data anywhere. In clouds like AWS, Azure, and GCP. In on-premises data centers. And at the edge where machine data originates.


We deliver cloud-native data analytics for data distribution, data engineering, data warehousing, transactional data, data science, and machine learning that are portable across infrastructures. We enable you to bring the right analytics to the right cloud at the right time.


Just imagine the possibilities.

 

Hybrid cloud adoption: A growing enterprise priority

A singular focus on cloud overlooks the vast amount of enterprise data residing on premises. Organizations are realizing the value of a hybrid data platform that runs anywhere, enabling them to put all their data to work and make better decisions faster.

67%

of enterprise workloads run on public and private cloud implementations


Source: IDC, Cloud Growth, Migration, and Repatriation Continue to Gain Momentum, March 2020, US46119020

57%

of enterprises are on board with hybrid IT environments that leverage both on-premises resources and public cloud in an integrated fashion

Source: 451 Research (part of S&P Global Market Intelligence), Cloud Price Index, Jan 2021

82%

of enterprises report taking a hybrid cloud approach, combining the use of both public and private clouds


Source: Flexera, State of the Cloud Report, 2021

Modern data architectures shoulder the complexity, so IT doesn't have to

Organizations have been increasingly challenged to access, use, and create value from hybrid data due to its complexity. That is, until modern data architectures entered the picture.

Unified data fabric

Stay in control without hampering the speed of implementation thanks to consistent security and governance:

  • Orchestrating all your disparate data sources intelligently and securely in a self-service manner

  • Creating a unified, trusted, and comprehensive view of all your data

  • Providing a single view across multiple clouds and on premises 
Open data lakehouse

Use all your data to overcome critical business challenges by:

  • Pre-integrating it for advanced analytics use cases
  • Enabling multi-function analytics on streaming and stored data in a cloud-native object store across clouds and on premises
  • Providing easy access to users with their analytic tool of choice thanks to the openness of Apache Iceberg
Scalable Data Mesh

Empower next-generation data applications more quickly, more easily, and more cost-effectively by:

  • Deploying familiar and common self-service data services for the complete lifecycle to each domain
  • Giving individual users and teams the ability to own and serve up their own data products
  • Providing consistent security and governance both within and across domains to deliver global governance and open standards

10 essential elements of a hybrid data platform

1. Distributed cloud model

Operates as a single platform across private and public clouds and the edge so data and workloads move friction-free bi-directionally without costly rewrites or refactors


2. Portable, interoperable data services

Covers the data lifecycle from ingestion to transformation, warehousing, and machine learning, with data services portable across clouds without refactoring or redevelopment


3. Data services for all eventualities

Handles all data types—structured, semi-structured, and unstructured—as provided or must be delivered: real time, streaming, and batch

1. Distributed cloud model

Operates as a single platform across private and public clouds and the edge so data and workloads move friction-free bi-directionally without costly rewrites or refactors


2. Portable, interoperable data services

Covers the data lifecycle from ingestion to transformation, warehousing, and machine learning, with data services portable across clouds without refactoring or redevelopment


3. Data services for all eventualities

Handles all data types—structured, semi-structured, and unstructured—as provided or must be delivered: real time, streaming, and batch

 

4. Separated compute and storage 

Sizes compute and storage independently and flexibly, letting organizations dictate an optimal mix of providers based on factors such as price, performance, or locality


5. Common tools

Provide users with a single, consistent view to track utilization, resource consumption, performance, and cost along with the tools to manage and optimize data center hardware and cloud infrastructure


6. Orchestration and management

Easily orchestrates and automates management workflows, removing the complexity of leveraging multiple data services across heterogeneous clouds

4. Separated compute and storage 

Sizes compute and storage independently and flexibly, letting organizations dictate an optimal mix of providers based on factors such as price, performance, or locality


5. Common tools

Provide users with a single, consistent view to track utilization, resource consumption, performance, and cost along with the tools to manage and optimize data center hardware and cloud infrastructure


6. Orchestration and management

Easily orchestrates and automates management workflows, removing the complexity of leveraging multiple data services across heterogeneous clouds

 

7. Cross-platform security and governance

Delivers consistent security and governance across all deployments to ensure hybrid cloud success and enable mobility of data and services


8. Automated, optimized workload placement

Adapts to change, ensuring continuous, optimal delivery without refactoring by automatically placing or moving data and workloads


9. Intuitive experience

Provides simple, consistent, and intuitive user experiences, streamlined with a unique identity across all clouds for each user


10. Open and extensible

Is future-proof, able to extend for and adapt to new clouds, new data types, and new data services

7. Cross-platform security and governance

Delivers consistent security and governance across all deployments to ensure hybrid cloud success and enable mobility of data and services


8. Automated, optimized workload placement

Adapts to change, ensuring continuous, optimal delivery without refactoring by automatically placing or moving data and workloads


9. Intuitive experience

Provides simple, consistent, and intuitive user experiences, streamlined with a unique identity across all clouds for each user


10. Open and extensible

Is future-proof, able to extend for and adapt to new clouds, new data types, and new data services

Gartner Peer Insights™ Customer Choice 2022 logo

2022 Gartner Peer Insights ‘Voice of the Customer’: Cloud Database Management Systems


We are grateful for our customers and their recognition of us as a Customers’ Choice Vendor.

Get the report       See our customers

“Cloudera has emerged as a leader in hybrid multi-cloud data analytics. If you want to manage data end-to-end, from the edge, on-premises, and multiple public clouds, your choice today is Cloudera.”


Patrick Moorhead, Cloudera's Data Platform Private and Public Cloud both GA and it's time to migrate, Forbes, May 3, 2021

Patrick Moorhead, headshot

Cloudera Data Platform: Making hybrid data strategy a reality

Delivering on the hybrid data platform promise of modern data architectures with data anywhere

Cloudera Data Platform (CDP) is a unified platform with portable, interoperable data analytics for the full data lifecycle and distributed data management running on public clouds, on premises, and at the edge.

CDP's common security, governance, metadata, replication, and automation provided by Cloudera SDX enable CDP to operate as an integrated system. 

CDP also embodies a hybrid data platform's write-once, read anywhere capabilities, making data application development faster, easier, and more cost-effective. 

Hybrid data platform architecture diagram
Analyst Report

2021 Gartner® Magic Quadrant™ for Cloud Database Management Systems

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