Cloud technologies have revolutionized every aspect of the way we do business. With data and analytics in the cloud, IT can get up and running fast and scale seamlessly as the organization’s needs grow. Modernize and centralize data and analytics in the cloud to reduce maintenance costs and make governed data more accessible. Spark insights with any data, anywhere—even on the go.
Modernize with cloud
Learn more about modernizing data and analytics in the cloud, including the benefits of cost efficiency, flexibility, performance, governance, and security.
Why adopt modern analytics?
Make digital transformation actionable with modern BI.
Modern data environment
Understand the evolution of today's data environments.
The impact of data gravity
Explore how data gravity is pulling analytics to the cloud.
Tableau moves to the cloud
Learn how we evaluated our own data modernization.
Tableau Cloud gives us an opportunity to bring different facets of our organization together. And the ease with which we’ve been able to give that to Red Hatters across the globe and in different functions has helped speed up and create a community groundswell.
Wes GelpiSenior Manager – Business Intelligence and Analytics, Red Hat
Migrate to the cloud
Learn more about about important considerations for moving to the cloud, including hybrid scenarios, and how to connect to your data wherever it’s stored.
Cloud migration strategies
Explore critical considerations for moving to the cloud.
IDC Infobrief: Cloud BI & analytics
Dive into research and trends from costs to governance.
TDWI: Modern analytics maturity guide
Assess and progress your modern BI journey.
TDWI checklist: Keys for success
Ensure your analytics stack is flexible and scalable.
Explore different data and analytics migration scenarios
Understand the key considerations and challenges of architecting your modern data and analytics environment.
Fully on-premises
Pros:
- Little or no migration effort
- No disruption to deployment
Cons:
- Less flexible and scalable data and analytics
- Requires resources to manage on-premises infrastructure
You'll want to consider:
- Cloud benefits like agility, ROI potentially sacrificed by remaining on-premises
On-premises analytics with data in the cloud
Pros:
- Easier to scale data
- Fewer resources required to manage infrastructure
Cons:
- Tableau Server on-premises must connect to cloud data
You'll want to consider:
- Authentification options for cloud and on-premises systems
- Data connectivity, networking, and security
Cloud analytics with data on-premises
Pros:
- More flexible and scalable analytics
Cons:
- Time, resources, and new business processes required with cloud shift
- Fighting against data gravity
You'll want to consider:
- Tableau Server deployed in public cloud vs. Tableau Cloud hosted SaaS
- Tableau Bridge to connect to on-premises data
- Data connectivity, networking, and security
Everything migrated to the cloud
Pros:
- Greatest access to cloud benefits across flexibility, scalability, features, and costs
- Holistic cloud adoption has advantages for improving data culture
Cons:
- Resources and expertise required for simultaneous migration
- Potential disruptions to analytics services depending on cutover/implementation
You'll want to consider:
- Single vs. multi-cloud approach
- In-house vs. partner expertise for migration planning and execution
How does Tableau fit in different migration scenarios?
Learn more about flexible Tableau deployments: on-premises, in a public cloud, or fully hosted SaaS. Connect to any data wherever it lives to empower insight anywhere.
Comparing deployment options
Evaluate the benefits of Tableau Cloud (SaaS) vs. Tableau Server.
Your end-to-end BI architecture
Explore our partnerships across the data technology ecosystem.
Deploy Tableau in the cloud
Connect to your cloud data
Optimize and monitor cloud analytics
Learn more about using Tableau to monitor and optimize costs in the cloud. Get started with one of our free solutions for Amazon Web Services, Snowflake, or Google Cloud Platform.
Tableau's commitment to evolving its platform has really driven our passion and enthusiasm to integrate analytics across the business. It is now the centerpiece of our enterprise analytics engine and allows us to produce actionable insights at an unbelievable pace.
Lanny RahmanChief Financial Officer, Wolseley Canada
More Tableau customer success stories in the cloud
Webinar: Pearson on Tableau & AWS
Pearson drives higher education innovation in the cloud.
Webinar: Brown Advisory on Tableau & Snowflake
Brown Advisory builds effective, hybrid data pipelines.
Webinar: Scaling AWS and Tableau at Deutsche Bahn
Deutsche Bahn scales analytics in the cloud.