Google Cloud Bigtable vs Google Cloud Datastore

Question

What is the difference between Google Cloud Bigtable and Google Cloud Datastore / App Engine datastore, and what are the main practical advantages/disadvantages? AFAIK Cloud

Answer 1

This might be another set of key differences between Google Cloud Bigtable and Google Cloud Datastore along with other services. The contents shown in the image below can also help you in selecting the right service.

Answer 2

A relatively minor point to consider, as of November 2016, bigtable python client library is still in Alpha, which means the future change might not be backward compatible. Also, bigtable python library is not compatible with App Engine's standard environment. You have to use the flexible one.

Answer 3

Cloud Datastore is a highly-scalable NoSQL database for your applications.
Like Cloud Bigtable, there is no need for you to provision database instances.
Cloud Datastore uses a distributed architecture to automatically manage
scaling. Your queries scale with the size of your result set, not the size of your
data set.
Cloud Datastore runs in Google data centers, which use redundancy to
minimize impact from points of failure. Your application can still use Cloud
Datastore when the service receives a planned upgrade.

 Choose Bigtable if the data is:
Big
● Large quantities (>1 TB) of semi-structured or structured data
Fast
● Data is high throughput or rapidly changing
NoSQL
● Transactions, strong relational semantics not required
And especially if it is:
Time series
● Data is time-series or has natural semantic ordering
Big data
● You run asynchronous batch or real-time processing on the data
Machine learning
● You run machine learning algorithms on the data
Bigtable is designed to handle massive workloads at consistent low latency
and high throughput, so it's a great choice for both operational and analytical
applications, including IoT, user analytics, and financial data analysis.