Why migrate Oracle to Amazon Aurora PostgreSQL?
Running Oracle databases in an on-premises environment presents customers with many challenges, such as increasing license and maintenance fees, and the need to upgrade from older versions to avoid compliance problems. Growing companies require cost-effective databases that are fast enough to keep pace with their expanding business, and enable automated processes to replace time-consuming administrative tasks.
Modernized cloud database solutions can help address these issues. We are a leader in database cloud migration, data services management, application modernization, and delivery of solutions for new services such as analytics and the Internet of Things (IoT). We have the expertise to help customers of all sizes successfully migrate Oracle to Amazon Aurora PostgreSQL, and the know-how to optimize performance following cloud adoption.
We are ready to guide you through the entire migration process and help optimize your Amazon Aurora environment after cloud adoption. Together we will establish a solid database foundation on Amazon Web Services (AWS), and leverage our unique expertise to help you integrate a wide range of AWS services and increase business flexibility.
Determining which Database and infrastructure technology is a best fit in AWS
There are many approaches to database technology in AWS from infrastructure EC2 to managed Aurora/RDS and the many flavors of database server that can be supported here.
Key here is understanding these points:
- What is your current database and infrastructure technology and what is the appropriate match in AWS?
- What resources do you have to support your database technology in AWS? Is Aurora, RDS, or EC2 the correct approach?
- What is your HA/DR approach and can it be mapped to AWS
- What is your data Egress and Ingress and how will that affect your charges
DB Best can help you evaluate your current workload and direct you to the best technology in the AWS.
Choosing which workloads to move to the cloud
We take a data centric approach to determine which workloads are most appropriate for the cloud. We start with data collection that gives us a profile of each workload environment such as CPU, RAM, etc. We also gather performance metrics over a period of time using our agentless DBMSys software. We also work with our customers to understand the business needs / restrictions of each workload to determine a list of potential candidates that can be moved to the cloud.
Migrating away from your current data solution
Traditionally, this means that a switch from one data platform to another. However, just switching the nameplate on the back-end DB server may not be the best solution. Some data patterns and use cases may have a better fit for a NoSQL or Data Lake solution.
DB Best Architects are trained to spot these patterns and discuss with the customer another approach that may be a better fit or be able to leverage new technology such as IoT devices.
How can I migrate terabytes of data to the Amazon cloud?
Imagine you have a 80 TB database that needs to be extracted and imported into AWS Redshift or Aurora database. Normally, it would take up to several weeks for extracting and migrating such databases over internet. DB Best has worked with Amazon in exposing a Snowball Edge configuration option in the Schema Conversion Tool. With this feature, you can hookup a Snowball Edge device to your on-premises database, extract data and upload data to the Snowball Edge and send it back to Amazon for completing the data import process during your data warehouse migration to AWS.
DB Best Architects are trained to help you in configuring the Snowball Edge, in extracting and help you in completing the data transfer much faster.
Building an AWS stack with multiple layers can be time consuming and error prone
DB Best’s architects can help you in automating the entire stack creation process leveraging AWS’s CloudFormation templates using command line scripts. These scripts take few command line parameters and setup your VPC, subnets, ELB, Aurora clusters, RDS & EC2 instances, databases, Auto-scaling groups, creating S3 buckets and uploading data, database restores and health checks.
We support the AWS Database Migration Service (DMS), and was an early adopter of the AWS Schema Conversion Tool (SCT). We have helped hundreds of customers successfully migrate to Amazon Aurora. No other partner is as uniquely qualified to help your organization streamline its database migration projects with our 12-step migration methodology. Below are some examples of how DB Best can help you cost-effectively accelerate cloud adoption.
Looking to upgrade your old MySQL, PostgreSQL, Oracle, and SQL Server databases or move them to the AWS? Our Data Management Optimization (DMO) for AWS service provides you with recommendations and an ROI model for your digital transformation initiatives.
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A leading education SAAS provider improved performance and reduces costs with Aurora PostgreSQL
Increase in license fees leads to cloud adoption
One example of a DB Best success story can be found in a customer that works with higher education institutions to deliver student success in 40 countries around the world. This customer was facing an increase in licensing fees and limited scalability options in their current IaaS environment. Moving to a PaaS offering would address these challenges.
The customer’s legacy architecture included separate applications, all being run on-premises, with an Oracle database back-end, but they did not want to expand their Oracle licensing obligations and incur additional costs. They were also seeking increased flexibility and wanted to develop data warehousing and big data analytics. They decided to work with DB Best to help them achieve these goals.
DB Best analyzed the customer’s existing architecture and created a proposal to migrate and merge these applications on AWS, replacing Oracle. Using the AWS SCT, DB Best migrated nearly
20,000 stored procedures, more than 15,000 functions, 1,500 views, and 2,200 datatypes from Oracle to AWS.
Improved query time by nearly 400x
DB Best developed a PaaS-based solution on AWS that enabled the customer to extend the functionality of their applications without having to manage the infrastructure. This allowed the customer to continue to innovate and increased their responsiveness to the needs of the institutions they serve. It also fostered an environment of rapid application development and scalability.
As a result, all of the customer’s data now resides on AWS, in a more flexible environment with greater capacity for future analytics workloads. The AWS-based architecture that DB Best helped this customer migrate to has helped them reduce query execution times by nearly 400x (from 33 minutes to under five seconds), and enabled them to greatly cut the amount of time spent on
application development cycles.
DB Best leveraged the AWS platform for this customer to meet requirements such as automatic scaling, performance, and storage.
Experts in AWS Migrations
DB Best has unique expertise that covers the migration of Oracle databases to the Amazon cloud. We can leverage automation tools like AWS Database Migration Service along with the Schema Conversion Tool (SCT) to help you migrate databases and applications to AWS in a short period of time. With unparalleled experience in Oracle databases, we are ready to help you develop cost-effective strategies for migrating and modernizing your application assets to AWS technologies.
Architecutral overview of the Oracle to Amazon Aurora PostgreSQL Migration
This architecture diagram provides a general overview of the DB Best database migration process.
Automated tools accelerate cloud adoption
To help our customers migrate from Oracle to Amazon Aurora, DB Best uses the automated tools they have developed to help accelerate cloud adoption. One of the featured tools we often employ is the AWS Schema Conversion Tool (SCT), which is used to compile statistics from the source database, make recommendations on finetuning, and perform analysis to forecast how Amazon Aurora can be optimized for a customer. The AWS SCT identifies potential problem areas during migration planning, determines the possible effects on the schema conversion process, and creates a strategy to validate the data.
DB Best also has expertise using the AWS Database Migration Service (DMS) to help customers move their databases to the cloud quickly and securely. The AWS DMS supports migrations between different database platforms, such as moving from Oracle to Amazon Aurora, and helps to minimize downtime during the migration process. DB Best works with the customer DBAs to strategically plan the migration and optimize capabilities on AWS.
These are the tools that we helped Amazon build or built ourselves to help automate migration from Oracle to Amazon Aurora by analyzing all of the applications that interface with the Oracle database to confirm data conversion.
DB Best’s unique approach and methodology include performance testing and benchmark metrics they have developed to deliver project success.
We are the only AWS partner who can say we've migrated more databases to AWS RDS, Amazon Aurora, and Amazon Redshift than any other partner in the world using AWS Database Migration Service (DMS) and Schema Conversion Tool (SCT).
Comparing two production databases for migration or an upgrade? Now you can do this with one powerful and simple tool that every DBA and database developer needs.
LEVERAGING YOUR EXISTING INVESTMENTS IN MIGRATION TECHNOLOGIES
Data integration tools play a big part in the successful migration of Oracle databases to PostgreSQL. Ideally, you want to minimize the changes to your data integration processes. We have extensive experience in the following platforms.
Oracle Golden Gate
We can help you get the most out of Oracle Golden Gate and facilitate real-time data integration, replication, transformations, and verification in heterogeneous IT environments. So you can have extreme performance with Oracle Database integration and support for cloud environments.
Using Informatica solutions we can integrate your data from existing on-premises systems to the cloud, big data, and IoT systems smoothly and cost-effectively. Our solution architects will migrate the data accelerating time to value for your business goals.
We leverage a high performance parallel framework on-premises or in the cloud with improved speed, flexibility and effectiveness to build powerful data integration infrastructure. Utilizing big data and Hadoop we help our customers more efficiently access new data sources.
Our developers can flawlessly replicate your data between different types of databases with handling any data changes. So your data never be missed. We also can simplify the ETL process and automate the manual procedures of data warehouse development to improve performance and cost.
We offer a fast and cost effective way to connect, clean and share cloud and on-premises data using the architecture that easily scales to respond to growing business requests.
See how we can orchestrate the transformation of your data, leveraging simple, flexible, and cost-effective AWS Glue ETL service.
SUPPORTING YOUR PostgreSQL RDS AURORA SOLUTIONS AFTER THE MIGRATION
As part of our migration project, we offer training, support, consulting, and managed services for your PostgreSQL solutions on Amazon Aurora or RDS. If you don’t want to go through the hassle of maintaining the day-to-day operations of your databases and applications, be sure to check out our Operational Data Management service.
Are your DBA's stretched thin? Offload your IT needs to a dedicated team with industry-proven processes and world-leading tools and products
Check out the database consulting services we have used to help customers like you get the most out of their database platform.
Our DevOps services introduce cultural changes, best practices, and new technologies to improve collaboration between business, development, and operations to create an agile application development lifecycle.
We offer training in-person at your site, at a third party location, or remotely based on your needs. We can tailor our programs to your needs.
We have a great set of blog posts and data sheets to help you better understand our capabilities as the leader in database migration services and prove out possibilities and expertise in moving workloads to AWS Aurora or RDS.
Although some of these blog posts are related to migrating to MySQL to Amazon Aurora, the concepts and methods are the same for PostgreSQL.
Top AWS DMS and SCT blog posts
Using PostgreSQL in cloud alongside with Oracle to enhance the database system performance
Using AWS Snowball Edge to transfer multiple terabytes of data into the Amazon cloud
First look at AWS Schema Conversion Tool with tighter DMS integration
Migrating an Oracle to MySQL Database using the AWS Schema Conversion Tool
Using AWS Schema Conversion Tool for Application Conversion
Reference data sheet
Reference white paper
Check out our new ebook on migrating Oracle databases to Amazon Aurora PostgreSQL.
Migrate from Oracle to Amazon Aurora with DB Best ebook
If your organization is heavily invested in a legacy Oracle database environment, you may be confronted with rising license renewal and support/maintenance costs for outdated technologies. To keep pace with rapidly changing business demands, consider working with DB Best to…