Cloudera has taught the world the value of big data, creating an industry and ecosystem powered by the relentless innovation of the open-source community and now Cloudera has enabled the world’s largest enterprises to transform not just their organisations but their entire industries with data.
When you’re making history, limitations are simply unacceptable, especially when it comes to accessing all your data. You cannot sacrifice the needs of the business due to the constraints of IT.
Thanks to the ‘Power of And, ‘you don’t have to!
How to get Started
For more information on how to get started or general inquiries:
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Capitalise on the value of all your data
We help businesses manage and analyse 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. Organisations are realising the value of a hybrid data platform that runs anywhere, enabling them to put all their data to work and make better decisions faster.
of enterprise workloads run on public and private cloud implementations
Source: IDC, Cloud Growth, Migration, and Repatriation Continue to Gain Momentum, March 2020, US46119020
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
of enterprises report taking a hybrid cloud approach, combining the use of both public and private clouds
Source: IDC, Cloud Growth, Migration, and Repatriation Continue to Gain Momentum, March 2020, US46119020
Modern data architectures shoulder the complexity, so IT doesn’t have to
Organisations 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
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 refactorscollaborate securely.
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
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
Separated compute and storage
Sizes compute and storage independently and flexibly, letting organisations dictate an optimal mix of providers based on factors such as price, performance, or locality
Common tools
Provide users with a single, consistent view to track utilisation, resource consumption, performance, and cost along with the tools to manage and optimise data center hardware and cloud infrastructure
Orchestration and management
Easily orchestrates and automates management workflows, removing the complexity of leveraging multiple data services across heterogeneous clouds
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
Automated, optimised workload placement
Adapts to change, ensuring continuous, optimal delivery without refactoring by automatically placing or moving data and workloads
Intuitive experience
Provides simple, consistent, and intuitive user experiences, streamlined with a unique identity across all clouds for each user
Open and extensible
Is future-proof, able to extend for and adapt to new clouds, new data types, and new data services
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