Amazon DynamoDB vs Google Cloud Datastore vs Cloud Firestore

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Amazon DynamoDB

3.2K
2.8K
+ 1
195
Google Cloud Datastore

206
307
+ 1
12
Cloud Firestore

573
749
+ 1
106
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Pros of Amazon DynamoDB
Pros of Google Cloud Datastore
Pros of Cloud Firestore
  • 62
    Predictable performance and cost
  • 56
    Scalable
  • 35
    Native JSON Support
  • 21
    AWS Free Tier
  • 7
    Fast
  • 3
    No sql
  • 3
    To store data
  • 2
    Serverless
  • 2
    No Stored procedures is GOOD
  • 1
    ORM with DynamoDBMapper
  • 1
    Elastic Scalability using on-demand mode
  • 1
    Elastic Scalability using autoscaling
  • 1
    DynamoDB Stream
  • 7
    High scalability
  • 2
    Serverless
  • 2
    Ability to query any property
  • 1
    Pay for what you use
  • 14
    Cloud Storage
  • 14
    Easy to use
  • 11
    Easy setup
  • 11
    Realtime Database
  • 9
    Super fast
  • 7
    Authentication
  • 6
    Realtime listeners
  • 5
    Hosting
  • 5
    Google Analytics integration
  • 5
    Could Messaging
  • 4
    Performance Monitoring
  • 4
    Crash Reporting
  • 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 Amazon DynamoDB
Cons of Google Cloud Datastore
Cons of Cloud Firestore
  • 4
    Only sequential access for paginate data
  • 1
    Scaling
  • 1
    Document Limit Size
    Be the first to leave a con
    • 6
      Doesn't support FullTextSearch natively

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    What is 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.

    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.

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    What companies use Amazon DynamoDB?
    What companies use Google Cloud Datastore?
    What companies use Cloud Firestore?

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    What tools integrate with Amazon DynamoDB?
    What tools integrate with Google Cloud Datastore?
    What tools integrate with Cloud Firestore?

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    What are some alternatives to Amazon DynamoDB, Google Cloud Datastore, and Cloud Firestore?
    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.
    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 SimpleDB
    Developers simply store and query data items via web services requests and Amazon SimpleDB does the rest. Behind the scenes, Amazon SimpleDB creates and manages multiple geographically distributed replicas of your data automatically to enable high availability and data durability. Amazon SimpleDB provides a simple web services interface to create and store multiple data sets, query your data easily, and return the results. Your data is automatically indexed, making it easy to quickly find the information that you need. There is no need to pre-define a schema or change a schema if new data is added later. And scale-out is as simple as creating new domains, rather than building out new servers.
    MySQL
    The MySQL software delivers a very fast, multi-threaded, multi-user, and robust SQL (Structured Query Language) database server. MySQL Server is intended for mission-critical, heavy-load production systems as well as for embedding into mass-deployed software.
    Amazon S3
    Amazon Simple Storage Service provides a fully redundant data storage infrastructure for storing and retrieving any amount of data, at any time, from anywhere on the web
    See all alternatives