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Google Cloud Platform for Architects

You're reading from   Google Cloud Platform for Architects Design and manage powerful cloud solutions

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Product type Paperback
Published in Jun 2018
Publisher Packt
ISBN-13 9781788834308
Length 372 pages
Edition 1st Edition
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Authors (3):
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Loonycorn Ravi Loonycorn Ravi
Author Profile Icon Loonycorn Ravi
Loonycorn Ravi
Judy Raj Judy Raj
Author Profile Icon Judy Raj
Judy Raj
Vitthal Srinivasan Vitthal Srinivasan
Author Profile Icon Vitthal Srinivasan
Vitthal Srinivasan
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Table of Contents (19) Chapters Close

Preface 1. The Case for Cloud Computing FREE CHAPTER 2. Introduction to Google Cloud Platform 3. Compute Choices – VMs and the Google Compute Engine 4. GKE, App Engine, and Cloud Functions 5. Google Cloud Storage – Fishing in a Bucket 6. Relational Databases 7. NoSQL Databases 8. BigQuery 9. Identity and Access Management 10. Managing Hadoop with Dataproc 11. Load Balancing 12. Networking in GCP 13. Logging and Monitoring 14. Infrastructure Automation 15. Security on the GCP 16. Pricing Considerations 17. Effective Use of the GCP 18. Other Books You May Enjoy

NoSQL Databases

In the previous chapter, we took a closer look at the RDBMS services of GCP, Cloud SQL, and Cloud Spanner. These are great for many use cases, but there are also several situations in which they are not quite the right tool. The NoSQL offerings on the GCP, Bigtable, and Datastore might come in handy here. Bigtable is similar in many ways to Apache's HBase, while Datastore is a document database that competes with alternatives such as MongoDB.

Now, one little bit of fine print: in this chapter, we will use the terms NoSQL and RDBMS as if they are perfect alternatives; that is, it might seem like any storage solution that is not an RDBMS is a NoSQL database. That's not quite strictly true. BigQuery, for instance, is a SQL-compliant data warehouse, which is certainly not an RDBMS. So, the term NoSQL really only means that the data is not accessed via SQL...

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