Technology Profile
Market Share
Top Competitors
Customers
Customers by Industry
Customers by Size
Customers by Geo
Employees
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Google Cloud Datastore
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Google Cloud Datastore is a highly scalable, fully managed NoSQL database service offered on the Google Cloud Platform.
Market Share of Google Cloud Datastore
- Current Customer(s) The number of companies that currently use Google Cloud Datastore
- 602
- Websites Added The number of companies that have started using Google Cloud Datastore in the past month.
NA- compared to last month
- Websites Dropped The number of companies that have stopped using Google Cloud Datastore in the past month.
2- compared to last month
Top Competitors and Alternatives of Google Cloud Datastore
The top three of Google Cloud Datastore’s competitors in the NoSQL Databases category are MongoDB with 45.66%, NoSQL with 22.91%, Amazon DynamoDB with 9.58% market share.
Popular Comparisons
Top Competitors and Alternatives of Google Cloud Datastore
The top three of Google Cloud Datastore’s competitors in the NoSQL Databases category are MongoDB with 45.66%, NoSQL with 22.91%, Amazon DynamoDB with 9.58% market share.
Customers of Google Cloud Datastore
Around the world in 2023, over 533 companies have started using Google Cloud Datastore as NoSQL Databases tool.
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Google Cloud Datastore Customers by Industry
The three top industries that use Google Cloud Datastore for NoSQL Databases are Machine Learning (43), Artificial Intelligence (32), Big Data (30).
Google Cloud Datastore Customers by Employee Size
The majority of Google Cloud Datastore’s customers for the nosql-databases category fall in the company size of 20 - 49 employees (130 companies), 10,000+ employees (83 companies), 100 - 249 employees (82 companies).
Google Cloud Datastore Customers by Geography
The top three geographies of Google Cloud Datastore for nosql-databases are the United States with 226(37.54%), United Kingdom with 54(8.97%), India with 39(6.48%) customers respectively.
Employees of Google Cloud Datastore
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FAQ
Find answers to the most often asked questions by users.
Who are the top Google Cloud Datastore competitors?
Google Cloud Datastore’s Top competitors in the nosql-databases category are MongoDB, NoSQL, Amazon DynamoDB. You can view a full list of Google Cloud Datastore competitors . 6sense uses advanced data mining and AI algorithms to track customers and of Google Cloud Datastore and 40,000 other technologies on the internet.You can also compare Google Cloud Datastore and its feature with top competitors here : Google Cloud Datastore vs MongoDB Google Cloud Datastore vs NoSQL Google Cloud Datastore vs Amazon DynamoDB .
What is Google Cloud Datastore customer distribution based on company size?
The majority of Google Cloud Datastore’s customers for the nosql-databases category fall in the company size of 20 - 49 employees (130 companies), 10,000+ employees (83 companies), 100 - 249 employees (82 companies). You can view a distribution chart of Google Cloud Datastore customers by company size .
What is Google Cloud Datastore market share in the nosql-databases?
Google Cloud Datastore has market share of 0.47% in nosql-databases market. Google Cloud Datastore competes with 20 competitor tools in nosql-databases category. The top alternatives for Google Cloud Datastore nosql-databases tool are MongoDB with 45.66%, NoSQL with 22.91%, Amazon DynamoDB with 9.58% market share.
What are the top industries that use Google Cloud Datastore?
Top industries that use Google Cloud Datastore for nosql-databases are Machine Learning (43), Artificial Intelligence (32), Big Data (30).
What are the top countries that use Google Cloud Datastore?
Around the world in 2023, over 533 companies have started using Google Cloud Datastore as nosql-databases tool. Companies using Google Cloud Datastore for nosql-databases are majorly from United States with 226 customers. 37.54% of Google Cloud Datastore customers are from the United States. Other top countries using Google Cloud Datastore are United Kingdom and India with 54(8.97%) and 39(6.48%) customers respectively.
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