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That mental model no longer holds.
Today, enterprises need to move data quickly between cloud providers and cloud regions,—securely, reliably, and at scale. And with that need comes something far more powerful than faster transfers: a fundamental shift in how organizations think about cloud migrations, analytics, and AI.
Cloud migration strategies used to be built around finality. Choose a target cloud. Move the data. Lock it in place.
Why? Because moving petabytes of data across clouds or regions was painful, slow, expensive, risky, and operationally disruptive.
That all changes with Riverbed Data Express. When organizations can easily and quickly move data clouds and cloud regions, that finality disappears.
Riverbed Data Express enables organizations to move massive volumes of data across clouds and regions, turning data mobility into a strategic advantage for migration, resilience, and AI. It removes the friction from large‑scale data movement. It delivers high‑speed, secure, and predictable transfer of massive datasets across AWS, Oracle Cloud, and their regions—so organizations can migrate faster, build resilient multi‑cloud architectures, and fuel AI with the data that matters, wherever it lives.
With Data Express, data is no longer something you relocate once and optimize around forever. It becomes portable, strategic, and continuously optimized. This fundamentally changes migration itself. Cloud migration stops being a one‑time project and becomes an ongoing capability.
Multi‑cloud has long been discussed but rarely realized at scale. The reason wasn’t lack of intent—it was lack of data mobility.
Applications can be replicated. Infrastructure can be cloned. But data—especially massive, mission‑critical datasets—has traditionally resisted movement. That created de-facto lock‑in, even when organizations used multiple clouds.
Now with Riverbed Data Express, organizations can:
Multi‑cloud stops being a diagram on a slide and starts behaving like an operational reality.
You can now redefine business continuity and disaster recovery with Data Express. The ability to move data between OCI regions and between AWS regions also transforms static, pre‑provisioned replicas that may or may not stay in sync. With Data express, you can:
This same regional mobility also supports data residency requirements, performance optimization for global users, and workload placement based on evolving business needs.
With Data Express, resilience becomes dynamic, not brittle.
AI doesn’t just consume data. It demands data—large volumes of it, rapidly accessible and often centralized for training.
Here’s the challenge: enterprise data is everywhere. Just a few examples include:
Without fast, secure data movement, AI initiatives stall before they start. But with Data Express, data can move freely across clouds and regions, so AI architectures can change dramatically. Training data can be aggregated without months of preparation. Model training can run where the best GPUs or lowest costs exist. Inference pipelines can pull fresh data regardless of where it originated.
In short, AI velocity accelerates with data agility.
Organizations that can move data quickly can experiment faster, retrain models more frequently, run Agents faster and operationalize AI at scale.
For years, “data gravity” meant something you worked around. Once data landed in a cloud or region, everything else was pulled toward it. Now, gravity is something you can intentionally create or release.
Need analytics closer to business users? Move the data.
Need AI compute elsewhere? Move the data.
Need to exit a region, rebalance costs, or modernize architecture? Move the data.
When data movement is reliable and repeatable, architectural decisions stop being permanent compromises. They become fluid optimizations.
The ability to move data across AWS regions, across OCI regions, and between AWS and OCI doesn’t just improve performance. It reshapes organizational thinking.
Leading enterprises are moving toward a new model where:
The cloud stops being a place you move to and becomes a platform you continuously optimize across.
The next phase of cloud adoption won’t be defined by which provider you choose—but by how freely your data can move between them. Organizations that embrace this shift will migrate faster with less risk, extract more value from multi‑cloud investments, and build AI systems that aren’t limited by geography or vendor boundaries.
Data Express transforms data movement from a bottleneck into a capability—making cloud migrations reversible, multi‑cloud strategies practical, and AI initiatives unconstrained by where data resides.
In a world where data fuels every competitive advantage, agility is no longer optional. It’s foundational.
With Riverbed Data Express for the first time, it’s truly fast, easy, secure and achievable. Learn more here.
Chalan Aras is Riverbed's Senior Vice President and General Manager of the Acceleration business, overseeing the entire Acceleration portfolio, including engineering and product management.
Aras brings over three decades of experience in B2B technology, including leading product organizations and divisions at renowned companies such as Deloitte, Citrix Systems, Cisco, and Polycom. Aras most recently served as Chief Product Officer and Managing Director for Deloitte’s Cyber Security Services. Prior to Deloitte, he spent nine years at Citrix in VP and GM roles leading products that included Cloud Network and Security Services, SD-WAN and WAN Optimization.
Aras holds a bachelor’s degree in electrical engineering from Middle East Technical University, a master’s degree in computer engineering from North Carolina State University; an Executive MBA in Strategy and Marketing from UNC Kenan-Flagler Business School; and a Ph.D. in Computer Engineering from North Carolina State University.
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