How do I improve moving data between clouds?

Q: How do I improve moving data between clouds?

Riverbed Data Express can help you move massive datasets for AI and cloud migrations across hyperscalers, regions and datacenters up to 10x faster. It’s a SaaS service using optimized transfer technology reduces latency, eliminates bottlenecks, and significantly lowers data movement costs.

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Basics: Data Movement & Why It Matters

1. What is data movement?

Data movement is the process of transferring data between locations—such as data centers, cloud regions, different cloud providers or edge environments—to enable applications, analytics and AI workloads

2. Why should I care about data movement?

Efficient data movement is critical because it enables applications to scale, supports real-time operations, power AI and ensures data is available where it’s needed to drive business outcomes.

3. What business problems does data movement solve?

It addresses challenges like slow migrations, data silos across clouds, delays in AI pipelines and high data transfer costs.

4. Why is data movement becoming more important now?

AI and multi-cloud environments require massive datasets to move quickly across locations, making data movement a strategic priority in modern enterprises.

5. What happens if data movement is inefficient?

Organizations face slower time-to-value, higher costs, reduced AI effectiveness and an inability to scale workloads effectively.

Introducing Riverbed Data Express

6. What is Riverbed Data Express?

Riverbed Data Express is a high-speed, secure platform for moving large datasets across clouds, regions and GPU environments.

7. What makes Data Express different from traditional tools?

It is designed for AI-scale workloads, delivering up to 10x faster transfers with lower cost and reduced complexity compared to traditional approaches.

8. What types of data can Data Express move?

It supports petabyte-scale datasets across enterprise environments, including cloud, on-prem and hybrid architectures.

9. How fast is Data Express?

It can move data up to 10 times faster than traditional transfer solutions, reducing timelines from months to days.

10. How does Data Express reduce costs?

By optimizing transfer efficiency and minimizing cloud egress costs, it significantly lowers overall data transfer expenses.

Use Cases

11. What are the primary use cases for Data Express?

Key use cases include AI data pipelines, cloud migrations, multi-cloud data sharing and large-scale analytics workloads.

12. How does Data Express support AI initiatives?

It moves large training datasets to GPU environments quickly, eliminating bottlenecks in model development and deployment.

13. Can it help with cloud migration?

Yes, it accelerates workload migrations by securely transferring large volumes of data across cloud providers or regions.

14. How does it help with multi-cloud strategies?

It enables seamless movement of data between different cloud platforms, breaking down data silos.

15. Is it useful for real-time data operations?

Yes, efficient movement ensures timely availability of data for analytics, applications and decision-making.

Technology & Capabilities

16. How does Data Express achieve high performance?

It uses optimized data transfer techniques and cloud-native infrastructure to maximize throughput and efficiency.

17. Is Data Express secure?

Yes, it uses secure VPN tunnels and advanced encryption (including post-quantum cryptography) to protect data in transit.

18. How scalable is the solution?

It is built for petabyte-scale transfers and can support enterprise-scale data movement across global environments.

19. Does it support hybrid environments?

Yes, it is designed to operate across on-premises, cloud and edge environments.

20.What cloud platforms does it support?

Currently, it supports transfers between Oracle Cloud Infrastructure (OCI) and AWS, with Microsoft Azure, Goggle Cloud and datacenter support planned.

Business Value & Outcomes

21. How does Data Express improve time-to-value?

By reducing data transfer times from months to days, organizations can accelerate AI and digital transformation projects.

22. How does it impact AI model performance?

Faster access to fresh, complete datasets improves model accuracy and reduces stale data issues.

23. What ROI can customers expect?

Customers benefit from faster project completion, lower transfer costs and improved utilization of AI and cloud investments.

24. Who should use Data Express?

It is ideal for enterprises dealing with large-scale data, especially those pursuing AI, multi-cloud, or data modernization strategies.

25. Why is Data Express important for AI-driven businesses?

Because success in AI depends on getting the right data to the right place quickly and securely—and Data Express removes one of the biggest barriers to that goal.