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.

The 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.

At DB Best, our architects are trained to spot these patterns, we would then have a discussion with the customer about the best approach for them, or maybe even the possibility of leveraging 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 the 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 helping you complete 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.

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Getting Started

Migrate Oracle to AWS RDS Aurora PostgreSQL

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.

Improving performance and reducing 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.

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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.

Architectural overview of the Oracle to Amazon Aurora PostgreSQL Migration

This architecture diagram provides a general overview of the DB Best database migration process.

This architecture diagram provides a general overview of the DB Best Migrate Oracle to Amazon RDS Aurora PostgreSQL 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.

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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.

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.

Contact us today to help you Migrate Oracle to Amazon Aurora PostgreSQL
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Learn more

We have a great set of blog posts and datasheets 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.

Blog posts

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
8 February 2018 Andrey Ivanov

Sharing our technical experience with the readers, we've reached a pretty impressive audience on our blog. So, it was pretty easy to distinguish the most popular AWS Database Migration...

Using PostgreSQL in cloud alongside with Oracle to enhance the database system performance
15 June 2017 Andrey Ivanov

One of the leading independent software vendors in educational domain needed to expand their original Oracle database system. They wanted to add a new PostgreSQL database running on AW...

Using AWS Snowball Edge to transfer multiple terabytes of data into the Amazon cloud
10 January 2018 admin

One of the main concerns during large-scale database migrations to the cloud is how long will the data transfer last. When you need to move multiple terabytes of data, the migration pr...

First look at AWS Schema Conversion Tool with tighter DMS integration
3 January 2017 Bill Ramos

On December 20 2016, Amazon released version 1.0.502 of AWS Schema Conversion Tool (SCT). SCT now provides the integration with Data Migration Service (DMS)  and allows you to create ...

Migrating an Oracle to MySQL Database using the AWS Schema Conversion Tool
23 August 2016 Bill Ramos

Welcome to the very first blog post on getting started with the AWS Schema Conversion Tool (SCT). This is the first video in a series of many where we’ll help familiarize our readers...

Using AWS Schema Conversion Tool for Application Conversion
24 February 2017 Bill Ramos

A typical database migration project includes not only the schema conversion and data migration but also the application remediation. We are talking about one or many applications inte...

Reference data sheet

Amazon Web Services Migration
17 November 2016 Andrey Ivanov

DB Best Technologies is internationally known for comprehensive Data Management Services, database development and migration, and the creation of highly successful web and mobile syste...

Data Management for Amazon Web Services
8 November 2016 Andrey Ivanov

DB Best Technologies is internationally known for comprehensive Data Management Services, database development and migration, and the creation of highly successful web and mobile syste...

Modernize Your Relational Database Solutions with Amazon Aurora and Amazon RDS
17 January 2019 Andrey Ivanov

You may feel frustrated with high licensing costs and lackluster performances of your relational databases? Do you have some security worries about your data environment? Still won...

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
13 January 2018 Andrey Ivanov

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 technolog...

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