Transition from Commercial Databases to Amazon Web Services (AWS)
Break free from commercial databases and embrace the power of the cloud.
Your company is probably embracing the power of the cloud to take advantage of a reliable, scalable, cost-effective, high-performance cloud computing infrastructure. Database migrations are a natural evolution in any cloud journey, empowering you to modernize existing relational databases and applications while leveraging the power of cloud database infrastructure.
Why Should You Consider a Database Migration to Amazon Aurora?
Old-guard database providers are expensive, proprietary, have high lock-in costs, and impose restrictive licensing terms. The challenge to date has been to achieve the same performance and availability of commercial-grade databases on open-source databases such as MySQL, PostgreSQL, and MariaDB.
Amazon Aurora, a cloud-native, pay-as-you-go AWS database service, provides the performance and availability of commercial-grade databases at a fraction of the cost, and helps organizations scale to meet business growth and user requirements.
This ebook will examine key considerations that go into any database migration decisions that include:
- Long-term and operational business operations of moving from an on-premises to an on-demand model,
- Deciding factors around database administrators (DBAs), DevOps, etc. – how to implement and what strategy to use, and
- Post-migration management
Additional learnings include:
- Datavail’s Amazon Aurora capabilities combined with Amazon Aurora benefits.
- How Datavail helped a Financial Services organization migrate their on-premises database to Amazon Aurora to meet security and compliance requirements.
- A Healthcare Analytics organization reached out to Datavail for an Amazon Aurora migration resulting in an increased high availability and disaster recovery functionality.
Fill out the form to the right to download the ebook and learn more about Datavail can help your organization with Amazon Aurora.
Download The E-book Here