Google Cloud Platform Podcast Cloud SQL with Amy Krishnamohan
We’re learning all about Cloud SQL this week with our guest, Amy Krishnamohan. Amy’s main job is to teach customers about the products she represents. Today, she explains to Mark and Gabi that Cloud SQL manages services for open source databases, and she spends a little time elaborating on the other database management services Google has to offer.
Cloud SQL is a relational data storage solution. Relational data storage is very structured, almost like a table or spreadsheet, making it easier to analyze the data. Cloud SQL is capable of scaling out and up, meaning it can scale for traffic patterns and for storage. In comparison, NoSQL databases are very unstructured. If you’re not sure what kind of data is coming in, you can sort the data first and analyze it later. Each approach has its pros and cons and each is suitable for different types of projects.
Recently, Cloud SQL released a feature making it easy to move from on-prem to the cloud. In the future, they will continue to streamline the process of moving between the two spaces.
Amy KrishnamohanAmy is Product Marketing Manager at Google Cloud responsible for Databases. She has diverse experience across product marketing, marketing strategy and product management from leading enterprise software companies such as MariaDB, Teradata, SAP, Accenture, Cisco and Intuit. Amy received her Masters in Software Management from Carnegie Mellon University.
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- Cloud SQL site
- Cloud SQL Features site
- MySQL site
- PostgreSQLsite
- Cloud MemoryStore site
- Cloud Bigtable site
- Cloud Firestore site
- Cloud Spanner site
- GCP Podcast Episode 62: Cloud Spanner with Deepti Srivastava podcast
- Mongo site
- Getting to know Google Cloud SQL video
What is a virtual column in a database?
Where can you find us next?Amy will be at the Postgres Conference in New York on March 19.
Gabi will be at PHP UK in London and Cloud NEXT in April.
Mark will be at GDC in March, Cloud NEXT, and ECG in April.
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