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Google Cloud Datastore

A Fully Managed NoSQL Data Storage Service
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What is Google Cloud Datastore?

Use a managed, NoSQL, schemaless database for storing non-relational data. Cloud Datastore automatically scales as you need it and supports transactions as well as robust, SQL-like queries.
Google Cloud Datastore is a tool in the NoSQL Database as a Service category of a tech stack.

Who uses Google Cloud Datastore?

69 companies reportedly use Google Cloud Datastore in their tech stacks, including Bunch, SnapEngage, and

105 developers on StackShare have stated that they use Google Cloud Datastore.

Google Cloud Datastore Integrations

Public Decisions about Google Cloud Datastore

Here are some stack decisions, common use cases and reviews by companies and developers who chose Google Cloud Datastore in their tech stack.

Shaun Persad
Shaun Persad
Maker at · | 1 upvotes · 5.1K views

This is our primary database, though most of our actual data is stored in static storage. This database houses the metadata necessary for indexing and finding static data. Google Cloud Datastore

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captain of a starship at electronic dreams · | 1 upvotes · 5K views
Shared insights
Google Cloud DatastoreGoogle Cloud Datastore

worked with a client that used datastore as their backend database. helped plan out their schema and architecture. loved the speed and simplicity. Google Cloud Datastore

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Google Cloud Datastore's Features

  • Schemaless access, with SQL-like querying
  • Managed database
  • Autoscale with your users
  • ACID transactions
  • Built-in redundancy
  • Local development tools

Google Cloud Datastore Alternatives & Comparisons

What are some alternatives to Google Cloud Datastore?
Amazon DynamoDB
With it , you can offload the administrative burden of operating and scaling a highly available distributed database cluster, while paying a low price for only what you use.
Redis is an open source, BSD licensed, advanced key-value store. It is often referred to as a data structure server since keys can contain strings, hashes, lists, sets and sorted sets.
MongoDB stores data in JSON-like documents that can vary in structure, offering a dynamic, flexible schema. MongoDB was also designed for high availability and scalability, with built-in replication and auto-sharding.
Elasticsearch is a distributed, RESTful search and analytics engine capable of storing data and searching it in near real time. Elasticsearch, Kibana, Beats and Logstash are the Elastic Stack (sometimes called the ELK Stack).
Partitioning means that Cassandra can distribute your data across multiple machines in an application-transparent matter. Cassandra will automatically repartition as machines are added and removed from the cluster. Row store means that like relational databases, Cassandra organizes data by rows and columns. The Cassandra Query Language (CQL) is a close relative of SQL.
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Google Cloud Datastore's Followers
223 developers follow Google Cloud Datastore to keep up with related blogs and decisions.
Thales Pinheiro
raj tharun
광빈 임
Nick D'Angelo
Abhishek Reddy
Charlie Rogers
tommy leejones
Vaidehi Rahangdale
hemant aggarwal