Gartner predicts that worldwide end-user spending on public cloud services is forecast to total $723.4 billion in 2025, up from $595.7 billion in 2024. This year, enterprises will also see 80% of their workload moving to cloud.
The writing is on the wall – savvy organizations are moving or have already moved to the cloud. They are looking to achieve optimal performance, improve scalability, and reduce IT costs.
Oracle users are no different. However, the steps to migrate Oracle database to cloud is a complex process. It requires due consideration, careful planning, and spot on execution.
In today’s guide, we will deep dive into the steps to migrate Oracle database to cloud. We will include best practices and critical considerations to ensure a transition where you neither lose data nor business time, and your reporting workflows continue without disruption.
Before starting any cloud migration project, it is crucial that organizations have their business goals and expected benefits crystal clear. Typically, enterprises have one or more of the following objectives when migrating Oracle database to cloud:
Migrating Oracle database to cloud can look different for different organizations, based on their needs. Typically, organizations choose one of the following strategies:
We’re in 2025. According to industry estimates, there are over 1,000 cloud service providers across borders. Oracle Cloud Infrastructure (OCI), Amazon Web Services (AWS), Google Cloud Platform (GCP), and Microsoft Azure are some of the bigger names among them.
Choosing the right service provider can be based on the enterprise’s unique needs and budgets. Typically, organizations evaluate cloud service providers on the following parameters:
Before you start migrating your Oracle database to cloud, you must:
A full Oracle database backup before migration minimizes data loss during the transition. Typically, Oracle users use tools like Oracle RMAN (Recovery Manager) to accomplish this.
It is crucial to remove redundant or outdated data prior to migration. This reduces the time taken to migrate Oracle database and optimizes cloud performance.
Every company has unique business needs and downtime tolerance. Typically, organizations choose their migration method based on these parameters. They apply one of the following methods in their steps to migrate Oracle database to cloud:
Organizations must ensure that compute, storage and networking resources are provisioned in their cloud migration before they start the steps to migrate Oracle database to cloud.
Once the above steps to migrate Oracle database to cloud are completed, you can use the selected migration method to move your Oracle database to cloud. This ensures that your database, cloud, and overall organizational performance remain stable.
Once you have completed the above steps to migrate Oracle database to cloud, be sure to perform extensive testing. Enterprises typically test the following parameters:
Enterprises of all sizes, especially those in sensitive industries or consumer facing sectors, must ensure top-notch cloud security after completing the steps to migrate Oracle database to cloud. Some of these best practices typically followed by enterprises include:
Automation of database management saves precious time and resources for enterprises. They typically automate the following features:
Steps to migrate Oracle database to cloud is not a one-time activity or a set-it-and-forget-it game. Savvy enterprises ensure that they are implementing real time monitoring and performance analytics to identify and address issues before they impact any business workflow, such as reporting.
Cloud migration has several crucial benefits for organizations of all sizes. Some of these include:
The steps to migrate Oracle database to cloud has significant benefits. But it is not a simple process. There can be some roadblocks in the migration process, such as:
Typically, enterprises use Oracle GoldenGate for real-time database replication to minimize any downtime.
Organizations are advised to perform full data back up before migration to prevent data loss.
Enterprises must test their applications thoroughly after taking steps to migrate Oracle database to cloud.
With a new environment and often, new applications, the learning curve for business users can be steep. We often see this in the case of financial reporting workflows, when our customers migrate from Oracle EBS to ERP Cloud. The learning curve can disrupt reporting workflows and delay decision-making.
GL Connect solves for this and supports the cloud transition by offering Excel based reporting for database on both environments.
Clearly, the steps to migrate Oracle database to cloud is a matter of careful planning, optimal execution, and post migration testing & optimization.
While cloud environments offer unmatched automation, security, and scalability, migration can be complex for organizations of all sizes.
The challenge of learning curve can disrupt reporting workflows and decision making. Matters exacerbate further when it comes to business-critical financial data and reporting.
The good news is that you don’t have to go it alone anymore! GL Connect makes cloud transition easier by providing the familiar Excel environment for financial reporting on the new cloud environment. This handholds your reporting workflows during and after cloud transition and minimizes reporting disruption.
Migrating an Oracle database to the cloud involves challenges like downtime risks, data loss, compatibility issues, and cost unpredictability. Careful planning, full database backups, and using real-time replication tools like Oracle GoldenGate can help mitigate these challenges.
Application compatibility testing is critical. Run tests in a staging environment before full migration, ensuring smooth integration with the new cloud infrastructure. Tools like Oracle Cloud Infrastructure (OCI) Migration Assistant can help streamline testing.
Optimizing costs requires choosing the right cloud pricing model, such as reserved instances for predictable workloads or pay-as-you-go for dynamic usage. Auto-scaling, database tuning, and resource optimization also prevent unnecessary costs.