Cloud Datastore and Firestore
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Datastore is a highly scalable NoSQL Document Database. It automatically scales and partitions data as it grows. Recommended for use cases needing flexible schema with transactions. Examples: User Profile and Product Catalogs. Datastore can handle upto a few terabytes of data.Here are some of the important features:1. Supports Transactions, Indexes and SQL-like queries (GQL)2. Does NOT support Joins or Aggregate (sum or count) operationsFirestore is the new version of Datastore. I call it Datastore++. It is optimized for multi-device access. It provides an offline mode and data synchronization across multiple devices - mobile, IoT etc.
Choosing Between Cloud Firestore, Datastore vs Cloud BigTable
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Cloud Datastore is managed serverless NoSQL document database. It provides ACID transactions, SQL-like queries, and indexes. It is designed for transactional mobile and web applications.Firestore is the next version of Datastore with additional capabilities like Strong consistency and Mobile and Web client libraries.Firestore and Datastore are recommended for small to medium databases (0 to a few Terabytes).Cloud BigTable on the other hand, is a managed, scalable NoSQL-wide column database. It is NOT serverless (You need to create instances).BigTable is recommended for data sizes greater than 10 terabytes. It is usually used for large analytical and operational workloads.BigTable is NOT recommended for transactional workloads. It does NOT support multi-row transactions - it supports ONLY single-row transactions.
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