We are excited to announce significant expansion of 麻豆学生精品版 Data Express capabilities, extending support for a broader range of cloud-to-cloud migration and replication scenarios. In addition, 麻豆学生精品版 Data Express is now available through the , providing Oracle Cloud Infrastructure (OCI) customers with an easy way to discover and deploy Data Express as part of their cloud data mobility strategy. This is in addition to a without even the need of a credit card.

Expanding Data Mobility Across Leading Cloud 麻豆学生精品版s

Data Express has been designed to simplify large-scale data movement while maximizing throughput and minimizing transfer times. With this latest expansion, organizations can now move data across a wider range of cloud environments, including:

OCI Regional Data Movement

For organizations operating across multiple OCI regions, tenants, or business units, Data Express now supports OCI-to-OCI regional transfers. This capability helps teams:

• Accelerate region-to-region migrations
• Support disaster recovery planning
• Consolidate storage environments
• Enable data placement closer to applications and users

All global OCI regions are available for service, enabling large data movement for projects such as Singapore to US-East, UAE to Frankfurt, with consistent performance, secure data transfers and enterprise-grade controls. Whether you’re expanding globally or modernizing existing infrastructure, OCI-to-OCI transfers become faster and easier.

AWS Regional Data Movement

As AWS deployments grow, organizations frequently need to move data between accounts, regions, or storage architectures. With AWS-to-AWS regional transfer support, Data Express enables:

• Cross-region data migration
• Storage consolidation projects
• Backup and recovery workflows
• Data relocation for compliance and governance requirements

Large-scale object transfers can now be completed with greater speed and operational efficiency.

For AWS data movement operations available across the globe, Data Express brings the benefit of high-rate transfers across the AWS backbone, with reduced inter-regional charges vs other approaches through accelerated data movement capabilities

AWS OCI

Multi-cloud is no longer an exception. It is rapidly becoming the norm. Data Express now supports bi-directional transfers between:

AWS to OCI and OCI to AWS

This capability enables organizations to:

• Migrate workloads from AWS to  Oracle Cloud Infrastructure or vice-versa
• Replicate data across cloud providers
• Support hybrid and multi-cloud architectures
• Optimize cloud spending by placing data where it delivers the most value
• Build AI and analytics pipelines that span multiple cloud ecosystems

By eliminating barriers between AWS and OCI storage environments, enterprises gain the flexibility to choose the right cloud for every workload.

The AWS to OCI data movement service utilizes high-speed interconnections with reduced inter-connect data transfer charges. Data transfer rates of up to 50 TB/hour, yielding more than 1PB per day are available for AWS to/from OCI data movements, making large data transfers a routine operation for large scale AI or business operations. The service is available immediately for US locations and can be activated for any global region within a short window upon request.

Azure Regional Data Movement

Microsoft Azure customers can now take advantage of Azure-to-Azure data mobility capabilities for:

• Regional migrations
• Storage modernization projects
• Business continuity planning
• Environment consolidation

As Azure footprints expand, Data Express helps ensure data can move efficiently without creating operational bottlenecks.

Why This Matters

Data is the foundation of modern digital initiatives but moving it at scale remains one of the biggest challenges facing IT teams. Traditional transfer methods often struggle with:

• Long migration windows
• Network inefficiencies
• Operational complexity
• Rising egress and infrastructure costs
• Risk of business disruption

Data Express addresses these challenges by providing high-performance data movement designed for enterprise-scale cloud environments.

The result is faster migrations, reduced project risk, and greater flexibility in how organizations manage their cloud strategies.

Now Available on Oracle Cloud Marketplace

To make adoption even easier, 麻豆学生精品版 Data Express is now available through the Oracle Cloud Marketplace, Oracle’s trusted destination for discovering and deploying partner solutions for Oracle Cloud Infrastructure customers.

Availability through Oracle Cloud Marketplace helps customers:

• Easily discover Data Express within the OCI ecosystem
• Accelerate deployment and evaluation
• Integrate data mobility into OCI migration strategies
• Simplify procurement and cloud solution adoption through Private Offer purchases

Explore the listing here: 麻豆学生精品版 Data Express on

Looking Ahead

As organizations continue embracing multi-cloud architectures, the ability to move data seamlessly between providers becomes increasingly critical. With expanded support for OCI, AWS and Azure environments, 麻豆学生精品版 Data Express delivers the flexibility enterprises need to migrate, replicate, and manage data wherever business requirements demand.

From OCI-to-OCI, AWS-to-AWS, AWS-to-OCI, OCI-to-AWS, and Azure-to-Azure workflows, Data Express is helping organizations accelerate their cloud journeys while reducing complexity and risk.

The future of cloud is multi-cloud, and Data Express is making that future easier to navigate. Click here to learn more about Data Express or .

The real cost isn鈥檛 just compute, storage and bandwidth. 滨迟鈥檚 time, people, operational drag, missed opportunities鈥攁nd what many teams quietly refer to as the double bubble: paying twice for infrastructure while waiting for data to arrive.

麻豆学生精品版 Data Express fundamentally changes those economics.

The Myth of 鈥淔ree鈥� Data Movement

DIY data movement is usually justified as a cost-saving measure. After all, the tools appear deceptively inexpensive, and the cloud is already paid for.

But those apparent savings disappear quickly when transfers stretch from days into weeks, or weeks into months. Organizations frequently underestimate the operational overhead required to make DIY approaches work at scale. Teams must spend significant time learning different tools, integrating them into a cohesive workflow, and continuously managing performance issues along the way.

The hidden costs add up fast. Businesses often end up paying for extended infrastructure usage in both the source and destination environments while also absorbing licensing fees, support costs, and the labor required to orchestrate, monitor, retry, document, and troubleshoot transfers. Delays and failures can also slow critical initiatives such as cloud migrations, analytics projects, and AI deployments, postponing the business value these projects were meant to deliver.

What starts as a 鈥渘o-cost鈥� approach can easily become a budget drain hiding in plain sight, a huge delay in attaining business objectives, and even career derailment for those who took on complex DIY projects and failed to deliver results.

The Double Bubble: Pay Twice, Wait Longer

One of the costliest financial impacts of slow or unreliable data movement is the double bubble. This challenge arises when a business must migrate their data from one cloud to another for reasons such as an acquisition or divestiture, consolidation of applications, or simply for a better cost structure in a different region or cloud.  

With such projects, there typically is a business plan that targets new revenue, cost synergies for merged entities, or reduced cost of operations as a business scales or serves a larger base of customers.  They key is to complete the migration quickly to reach the new state of the business.

When data transfers take too long, organizations are forced to:

• Keep legacy environments running longer than planned
• Pay for cloud infrastructure that sits idle waiting for data
• Maintain parallel systems, licenses, and support contracts

In other words, you pay twice鈥攐nce for where the data is, and again for where it needs to be鈥攚hile gaining value from neither.

Data Express attacks the double bubble directly by compressing migration timelines. 

Faster, predictable data transfers mean legacy environments can be decommissioned sooner and target environments become productive faster. The savings compound quickly.

Time Is Money鈥擡specially in Migration and AI

Speed isn鈥檛 just a technical metric. 滨迟鈥檚 a financial one. Every day a migration is delayed pushes back cloud ROI, postpones modernization goals, and slows AI and analytics initiatives that depend on timely access to data.

DIY approaches often fail to account for time value. Data Express consistently reduces data movement windows from weeks to days鈥攐r days to hours鈥攃hanging the economics of the entire initiative.

With Data Express, faster data movement allows organizations to realize cloud savings sooner, accelerate analytics initiatives, and begin training and deploying AI models earlier in the process.

The business impact arrives sooner鈥攏ot just eventually.

Headcount: The Most Overlooked ROI Lever

DIY data movement consumes people. Highly skilled engineers spend days or weeks writing scripts, managing retries, troubleshooting failed transfers, tuning performance, and coordinating workflows across different environments and cloud providers. This work is not strategic鈥攁nd it doesn鈥檛 scale.

Data Express dramatically reduces the operational burden by automating and simplifying the transfer process. With centralized visibility, resilient transfers, and predictable performance at scale, organizations can dramatically reduce the amount of manual intervention required. This allows engineering teams to redirect their expertise toward innovation and higher-value projects rather than ongoing transfer maintenance and troubleshooting.

The result is lower ongoing labor costs and the ability to redeploy scarce engineering talent to higher-value initiatives. In many organizations, this headcount efficiency alone justifies the investment.

Egress Fees: The Unavoidable Tax on Multi-cloud Data Movement

Beyond lost opportunity costs, there are actual hard costs in moving data.  One of the most significant is cloud egress fees, which are charged when data is transferred out of cloud environments鈥攂etween different cloud providers or different regions within the same cloud provider, or to on-premises systems. These fees can be substantial when dealing with petabytes of data. 

It can easily cost $50,000-90,000 in egress charges to move one PB of data out of a cloud provider, although each of the four major hyperscalers have different rates depending on various factors including where the data resides, so actual costs do vary.  And remember, you may be moving multiple petabytes, and with AI, you will likely need to do this repeatedly to refresh your AI models.

Egress charges with Data Express can be a fraction of that, depending on data type. When you use Data Express to make the move, the 麻豆学生精品版  can reduce that data up to 90%, depending on its reducibility. Further, Data Express builds a dynamic Data Fabric that scales to 100鈥檚 of Gbps of network capacity, enjoying significant cost reductions compared to basic egress. And, you only pay for the actual data moving across the network.

So Data Express brings big savings over what you would pay otherwise with egress charges. This is one more part of the TCO that you should be considering in your DIY equation.

Risk Reduction Is a Financial Outcome

Failed or incomplete transfers aren鈥檛 just technical issues鈥攖hey鈥檙e financial risks. Data loss, improper data movement, corruption, or partial migrations lead to:

• Rework and delays
• Compliance exposure
• Loss of stakeholder confidence

DIY tools often lack enterprise-grade verification, resilience, and auditability, increasing both operational risk and cost. Data Express reduces these risks with built-in integrity checks, security controls, and reliability at scale鈥攍owering the likelihood of costly remediation or compliance issues.

Predictability Enables Better Financial Planning

Another hidden cost of DIY approaches is unpredictability. When transfer performance varies widely or projects frequently encounter delays, organizations struggle to accurately plan migration timelines, decommission legacy systems, and forecast cloud spending.

This unpredictability forces conservative planning鈥攍onger overlap periods, larger buffers, and higher spend 鈥渏ust in case.鈥�

Data Express provides deterministic performance, allowing organizations to confidently align migration timelines with financial plans, schedule cutovers more accurately, and reduce unnecessary overlap between old and new environments.

Predictability itself becomes a cost-saving mechanism.

From Cost Center to Strategic Enabler

Perhaps the biggest financial shift is psychological. DIY makes data movement a cost center鈥攕omething to minimize, delay, or work around.

Data Express reframes it as a strategic enabler:

• Migrations become repeatable and reversible
• Multi-cloud strategies become economically viable
• AI initiatives accelerate without ballooning budgets

When data can move quickly and reliably, organizations stop paying the hidden taxes associated with rigidity and delay.

The Bottom Line

DIY data movement may appear less expensive at first glance, but the hidden costs often tell a very different story. Extended migration timelines, duplicated infrastructure costs, higher labor demands, operational risk, and delayed business outcomes can quickly outweigh any perceived savings from using free or open-source tools.

麻豆学生精品版 Data Express eliminates these hidden costs by turning data movement into a predictable, scalable, and financially efficient capability.

The question is no longer 鈥淗ow much does data movement cost?鈥� 滨迟鈥檚 鈥淗ow much value are we leaving on the table by doing it the hard way?鈥�

Learn more here.

That mental model no longer holds.

Today, enterprises need to move data quickly between cloud providers and cloud regions,鈥攕ecurely, 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.

From 鈥淢ove Once鈥� to 鈥淢ove Freely鈥�

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 麻豆学生精品版 Data Express. When organizations can easily and quickly move data clouds and cloud regions, that finality disappears.

麻豆学生精品版 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鈥憇cale data movement. It delivers high鈥憇peed, secure, and predictable transfer of massive datasets across AWS, Oracle Cloud, and their regions鈥攕o organizations can migrate faster, build resilient multi鈥慶loud 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鈥憈ime project and becomes an ongoing capability.

Multi鈥慍loud Finally Works the Way It Was Promised

Multi鈥慶loud has long been discussed but rarely realized at scale. The reason wasn鈥檛 lack of intent鈥攊t was lack of data mobility.

Applications can be replicated. Infrastructure can be cloned. But data鈥攅specially massive, mission鈥慶ritical datasets鈥攈as traditionally resisted movement. That created de-facto lock鈥慽n, even when organizations used multiple clouds.

Now with 麻豆学生精品版 Data Express, organizations can:

• Rebalance datasets between regions to reduce latency, improve user experience, or meet regulatory requirements
• Shift large datasets to where compute is most cost鈥慹ffective at any given moment
• Move data between regions for business resiliency
• Run Oracle鈥慶entric workloads close to OCI services while feeding analytics or AI pipelines in AWS

Multi鈥慶loud stops being a diagram on a slide and starts behaving like an operational reality.

Region-to-Region Data Movement Enables True Cloud Resilience

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鈥憄rovisioned replicas that may or may not stay in sync. With Data express, you can:

• Rapidly replicate or refresh datasets securely across regions
• Recover massive volumes of data without days鈥攐r weeks鈥攐f downtime
• Treat regional failures and global uncertainty as recoverable events, not existential threats
• Leverage economic and technical advantages of different cloud providers

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 Changes Everything, and Data Movement Makes AI Possible

AI doesn鈥檛 just consume data. It demands data鈥攍arge volumes of it, rapidly accessible and often centralized for training.

Here鈥檚 the challenge: enterprise data is everywhere. Just a few examples include:

• Your proprietary enterprise data from ERP, SCM, CRM might be in OCI
• Human interaction data such as customer, service logs, expert advice in AWS
• Multi-modal data such as images, video, sensor data scattered across regions

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.

Data Gravity Becomes a Strategic Choice, Not a Constraint

For years, 鈥渄ata gravity鈥� 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 New Cloud Operating Model

The ability to move data across AWS regions, across OCI regions, and between AWS and OCI doesn鈥檛 just improve performance. It reshapes organizational thinking.

Leading enterprises are moving toward a new model where:

• Data is treated as a shared, agile asset
• Clouds are execution environments, not destinations
• Migrations are reversible
• AI pipelines are unconstrained by data silos

The cloud stops being a place you move to and becomes a platform you continuously optimize across.

Data Agility Is the New Competitive Advantage

The next phase of cloud adoption won鈥檛 be defined by which provider you choose鈥攂ut 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鈥慶loud investments, and build AI systems that aren鈥檛 limited by geography or vendor boundaries.

Data Express transforms data movement from a bottleneck into a capability鈥攎aking cloud migrations reversible, multi鈥慶loud strategies practical, and AI initiatives unconstrained by where data resides.

In a world where data fuels every competitive advantage, agility is no longer optional. 滨迟鈥檚 foundational.

With 麻豆学生精品版 Data Express for the first time, it鈥檚 truly fast, easy, secure and achievable. Learn more here.