Google Cloud Datastore is a fully managed, NoSQL database service designed to handle large amounts of structured data. It offers automatic scaling, high availability, and a flexible schema, making it suitable for web and mobile applications.
Top 5*
Database Technologies
About Google Cloud Datastore
Google Cloud Datastore was introduced by Google in 2013 as part of its cloud platform. It was developed to provide a scalable, fully managed NoSQL database solution for handling large volumes of structured data for web and mobile applications.
Strengths of Google Cloud Datastore include automatic scaling, high availability, and a flexible schema. Weaknesses include potential complexity in querying and higher costs for large-scale operations. Competitors are Amazon DynamoDB, Microsoft Azure Cosmos DB, and MongoDB Atlas.
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How to hire a Google Cloud Datastore expert
A Google Cloud Datastore expert must have skills in NoSQL database design, proficiency in GQL (Google Query Language), experience with Google Cloud Platform services, knowledge of data modeling and indexing, and familiarity with programming languages like Python or Java for integration.
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USA
$ 224K
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$ 127K
Employer Cost
$ 97K
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