Modern cloud-based applications must be globally available, operate with microsecond to millisecond latency, handle millions of requests per second, operate with zero downtime, cost only what is needed, and be managed efficiently. AWS meets the needs of modern applications by offering a range of purpose-built databases thereby allowing customers to focus on innovation. Database Freedom is a unique program designed to assist qualifying customers migrate from traditional database engines to cloud-native ones on AWS.
We support migrations to Amazon Aurora for MySQL and PostgreSQL; Amazon RDS for PostgreSQL, MySQL and MariaDB; Amazon Redshift; Amazon DynamoDB; Amazon EMR; Amazon Kinesis; Amazon Neptune; Amazon QLDB; Amazon Timestream; and Amazon DocumentDB. In addition, AWS Schema Conversion Tool and AWS Database Migration Service can help customers migrate their databases to these services quickly and securely.
We offer qualifying customers advice on application architecture, migration strategies, program management, and employee training that is customized for their technology landscape and migration goals. We also support proof-of-concepts to demonstrate the feasibility of a migration.
We assist qualifying customers migrate to AWS through our AWS Professional Services team and our network of Database Freedom Partners. These teams and organizations specialize in a range of database technologies and bring a wealth of experience acquired by migrating thousands of databases, applications, and data warehouses to AWS. We also offer service credits to qualifying customers to minimize the financial impact of the migration.
SQL Server to Amazon Redshift and Amazon RDS
“We built Microsoft SQL Server Analysis services cubes and provided reports from those cubes. We spent most of our time scaling our infrastructure, and we couldn't quickly fulfill frequent and ad hoc analysis requests by specific customers to define new metrics. This had a negative impact on our ability to serve our customers...So, we migrated our multi-terabyte data warehouse to Amazon Redshift.... In the current implementation, we use Amazon Redshift with other AWS database and analytics services, such as Amazon RDS for staging data, Amazon S3 to store raw and transformed data, and Amazon QuickSight for visualization.”
Oracle to Amazon Aurora
"We've gotten so many benefits from migrating our databases from Oracle to Aurora. There is high availability out of the box, lower cost, easier scaling for reads, and far less licensing complexity. For data migration, we used the Database Migration Service. It only took 24 hours for our first 1.25 Terabytes of data. Then we worked with the AWS team to utilize parallelization and organizing the migration by breaking it down to multiple tasks--then we were able to get the final production data migration down to four and a half hours!”
SQL Server to Amazon Aurora
"Aurora PostgreSQL is instrumental for Decisiv as we updgrade our infrastructure to support the growing scale, performance and reliability requirements that our customers expect. We've consolidated multiple SQL Server instances into a single database that boasts higher performance at a better cost. Thanks to Aurora, our migration from SQL Server to PostgreSQL went more smoothly than we anticipated, and we are now well-positioned to rapidly scale."
Oracle to Amazon Aurora
“We are an internet-only bank based in Japan. Our databases are critical to our ability to provide excellent personal banking and investment services. Since we migrated from Oracle RAC to Amazon Aurora, we have cut our database management costs by 83% while also getting 50% better performance. We've benefitted from improved speed, availability and scalability.”
Brent Bigonger from Amazon Fulfillment Technologies talks about how Amazon converted 700 Oracle databases and all its inventory management applications and technologies from Oracle to Aurora PostgreSQL. These applications control all fulfillment centers that ship every purchase made on Amazon.com.
In this session you will learn from Aaron Carerras, Senior Data Architect at FINRA, the approach FINRA has used to migrate their databases to Amazon RDS for PostgreSQL. As a financial regulator, FINRA has strict uptime SLAs and data security requirements and will be using RDS to meet them. The Financial Industry Regulatory Authority (FINRA) is one of the largest independent securities regulators in the United States, tracking up to 75 billion stock market events per day.
Rick Houlihan, Principal TPM, explores DynamoDB capabilities and benefits in detail and discusses how to get the most out of your DynamoDB database. We go over schema design best practices with DynamoDB across multiple use cases, including gaming, AdTech, IoT, and others. We also explore designing efficient indexes, scanning, and querying, and go into detail on a number of recently released features, including JSON document support, Streams, and more.