Azure Cosmos DB vs Google Cloud Datastore

Azure Cosmos DB
Azure Cosmos DB

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Google Cloud Datastore
Google Cloud Datastore

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Azure Cosmos DB vs Google Cloud Datastore: What are the differences?

Azure Cosmos DB: A fully-managed, globally distributed NoSQL database service. Azure DocumentDB is a fully managed NoSQL database service built for fast and predictable performance, high availability, elastic scaling, global distribution, and ease of development; Google Cloud Datastore: A Fully Managed NoSQL Data Storage Service. 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.

Azure Cosmos DB and Google Cloud Datastore belong to "NoSQL Database as a Service" category of the tech stack.

Some of the features offered by Azure Cosmos DB are:

  • Fully managed with 99.99% Availability SLA
  • Elastically and highly scalable (both throughput and storage)
  • Predictable low latency: <10ms @ P99 reads and <15ms @ P99 fully-indexed writes

On the other hand, Google Cloud Datastore provides the following key features:

  • Schemaless access, with SQL-like querying
  • Managed database
  • Autoscale with your users

"Best-of-breed NoSQL features" is the primary reason why developers consider Azure Cosmos DB over the competitors, whereas "High scalability" was stated as the key factor in picking Google Cloud Datastore.

According to the StackShare community, Google Cloud Datastore has a broader approval, being mentioned in 45 company stacks & 16 developers stacks; compared to Azure Cosmos DB, which is listed in 24 company stacks and 23 developer stacks.

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What is Azure Cosmos DB?

Azure DocumentDB is a fully managed NoSQL database service built for fast and predictable performance, high availability, elastic scaling, global distribution, and ease of development.

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.

Want advice about which of these to choose?Ask the StackShare community!

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      What are some alternatives to Azure Cosmos DB and Google Cloud Datastore?
      Azure SQL Database
      It is the intelligent, scalable, cloud database service that provides the broadest SQL Server engine compatibility and up to a 212% return on investment. It is a database service that can quickly and efficiently scale to meet demand, is automatically highly available, and supports a variety of third party software.
      MongoDB
      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.
      Amazon DynamoDB
      All data items are stored on Solid State Drives (SSDs), and are replicated across 3 Availability Zones for high availability and durability. With DynamoDB, 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.
      Cloud Firestore
      Cloud Firestore is a NoSQL document database that lets you easily store, sync, and query data for your mobile and web apps - at global scale.
      Google Cloud Bigtable
      Google Cloud Bigtable offers you a fast, fully managed, massively scalable NoSQL database service that's ideal for web, mobile, and Internet of Things applications requiring terabytes to petabytes of data. Unlike comparable market offerings, Cloud Bigtable doesn't require you to sacrifice speed, scale, or cost efficiency when your applications grow. Cloud Bigtable has been battle-tested at Google for more than 10 years—it's the database driving major applications such as Google Analytics and Gmail.
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      Decisions about Azure Cosmos DB and Google Cloud Datastore
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      How developers use Azure Cosmos DB and Google Cloud Datastore
      Avatar of Matt Welke
      Matt Welke uses Google Cloud DatastoreGoogle Cloud Datastore

      When creating proofs of concept or small personal projects that are hosted primarily in GCP, with non-relational data models, this is the NoSQL managed database I usually pair them with.

      Avatar of CommentBox.io
      CommentBox.io uses Google Cloud DatastoreGoogle Cloud Datastore

      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.

      Avatar of papaver
      papaver uses 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.

      Avatar of Daniel Kovacs
      Daniel Kovacs uses Azure Cosmos DBAzure Cosmos DB

      If you need a document-based database with geo-redundancy (imagine AU-HU distance), this is the way to go.

      Avatar of Giftstarter
      Giftstarter uses Google Cloud DatastoreGoogle Cloud Datastore

      We store our data in this store.

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