Google Cloud Datastore vs Cloud Firestore

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Google Cloud Datastore

198
294
+ 1
12
Cloud Firestore

512
666
+ 1
96
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Google Cloud Datastore vs Cloud Firestore: What are the differences?

What is 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.

What is Cloud Firestore? NoSQL database built for global apps. 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 Datastore and Cloud Firestore can be categorized as "NoSQL Database as a Service" tools.

Some of the features offered by Google Cloud Datastore are:

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

On the other hand, Cloud Firestore provides the following key features:

  • Documents and collections with powerful querying
  • iOS, Android, and Web SDKs with offline data access
  • Real-time data synchronization

"High scalability" is the top reason why over 4 developers like Google Cloud Datastore, while over 2 developers mention "Easy to use" as the leading cause for choosing Cloud Firestore.

According to the StackShare community, Cloud Firestore has a broader approval, being mentioned in 60 company stacks & 118 developers stacks; compared to Google Cloud Datastore, which is listed in 63 company stacks and 74 developer stacks.

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Pros of Google Cloud Datastore
Pros of Cloud Firestore
  • 7
    High scalability
  • 2
    Serverless
  • 2
    Ability to query any property
  • 1
    Pay for what you use
  • 13
    Easy to use
  • 13
    Cloud Storage
  • 10
    Easy setup
  • 10
    Realtime Database
  • 8
    Super fast
  • 6
    Authentication
  • 6
    Realtime listeners
  • 5
    Could Messaging
  • 4
    Google Analytics integration
  • 4
    Hosting
  • 3
    Crash Reporting
  • 3
    Performance Monitoring
  • 3
    Test Lab for Android
  • 3
    Sharing App via invites
  • 3
    Adwords, Admob integration
  • 2
    Dynamic Links (Deeplinking support)
  • 0
    Robust ALI

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Cons of Google Cloud Datastore
Cons of Cloud Firestore
    Be the first to leave a con
    • 6
      Doesn't support FullTextSearch natively

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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.

    What is 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.

    Need advice about which tool to choose?Ask the StackShare community!

    What companies use Google Cloud Datastore?
    What companies use Cloud Firestore?
    See which teams inside your own company are using Google Cloud Datastore or Cloud Firestore.
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    What tools integrate with Google Cloud Datastore?
    What tools integrate with Cloud Firestore?

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    What are some alternatives to Google Cloud Datastore and Cloud Firestore?
    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
    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
    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
    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).
    Cassandra
    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.
    See all alternatives