If you have lame databases in your on-premises systems, donrsquo;t move them to the cloud.
Theyrsquo;ll still be lame databases.As thousands of enterprises move their application workloads and data to the cloud, too many move whatever they have, include their lame databases.
Itrsquo;s easy to just lift and shift them yoursquo;ll find the popular on-premises databases also available in the cloud.
So you end up with the same limitations, just running somewhere new.Donrsquo;t do that.
Instead, reevaluate the type, and the brand of databases yoursquo;re using as part of your cloud migration.[ The RDBMS is scaling out: Review: Google Cloud Spanner takes SQL to NoSQL scale. | MySQL face-off: Amazon Aurora outscales Google Cloud SQL. | Review: ClustrixDB scales out — way out | Review: DeepSQL outruns Amazon Aurora | Keep up with hot topics in programming with InfoWorld's App Dev Report newsletter. ]Use the cloud migration effort to vastly improve your data management and data use capabilities.
For example, consider moving from SQL or relational databases to NoSQL or object-based databases, which maybe a better fit for your patterns of data use.To read this article in full or to leave a comment, please click here
Theyrsquo;ll still be lame databases.As thousands of enterprises move their application workloads and data to the cloud, too many move whatever they have, include their lame databases.
Itrsquo;s easy to just lift and shift them yoursquo;ll find the popular on-premises databases also available in the cloud.
So you end up with the same limitations, just running somewhere new.Donrsquo;t do that.
Instead, reevaluate the type, and the brand of databases yoursquo;re using as part of your cloud migration.[ The RDBMS is scaling out: Review: Google Cloud Spanner takes SQL to NoSQL scale. | MySQL face-off: Amazon Aurora outscales Google Cloud SQL. | Review: ClustrixDB scales out — way out | Review: DeepSQL outruns Amazon Aurora | Keep up with hot topics in programming with InfoWorld's App Dev Report newsletter. ]Use the cloud migration effort to vastly improve your data management and data use capabilities.
For example, consider moving from SQL or relational databases to NoSQL or object-based databases, which maybe a better fit for your patterns of data use.To read this article in full or to leave a comment, please click here