How s Google Cloud Datastore different from Google Cloud Bigtable

Question

What's the difference between Google Cloud Datastore and Google Cloud Bigtable? Aren't both of those storage services same?

Answer 1

Google Cloud Bigtable: It provides a massively scalable NoSQL database suitable for low-latency and high-throughput workloads. It integrates easily with popular Big Data tools like Hadoop and Spark and it supports the open-source, industry-standard HBase API.

Google Cloud Datastore: Cloud Datastore gives you an elastic, highly available document-oriented database as a service.

The differences could be listed as:

• Bigtable was originally designed for HBase compatibility but now has client libraries in multiple languages. Datastore was originally more geared towards Python/Java/Go web app developers (originally App Engine)

• Bigtable is 'a bit more IaaS' than Datastore in that it's not 'just there' but requires a cluster to be configured.

• Bigtable supports only one index - the 'row key' (the entity key in Datastore)

  • This means queries are on the Key, unlike Datastore's indexed properties

• Bigtable supports atomicity only on a single row - there are no transactions

• Mutations and deletions appear not to be atomic in Bigtable, whereas Datastore provides eventual and strong consistency, depending on the read/query method

• The billing model is very different:

  • Datastore charges for read/write operations, storage, and bandwidth

  • Bigtable charges for 'nodes', storage and bandwidth

Hope it works!!

To find out more about Google Cloud, join Google Cloud training today.

Thanks!