Cloud Big table and Cloud Datastore both are No-SQL unstructured database options. According to Google, none of them is serverless. Both support strong consistency and Low Latency. Both are (Regional or Global)
What is the use case or deciding factorto look at when deciding on Big Table vs Datastore ? Are they different in terms of capacity ?
2 Answers
Hope this website will clarify it a bit more for you:
See the following differences, it might help you.
Bigtable is best for:
Petabyte-scale databases, with low latency, high read and write
store tables that can have a large number of columns.
If you are writing data at high rates and in large volumes, consider Bigtable
Datastore is best for:
Where consistency is required
for semi-structured application data that is used in app engines’ applications
Datastore is a schemaless database and does not support relational operations
is used for nonanalytic, nonrelational storage
support for transactions and indexes to improve query performance
it lets you do SQL-like queries
Great link Lewis.
Thanks but still it does not answer the overlap for me. If a client wants to use non relational storage that can handle that can handle a large volume of data. What to select ?