Amazon DynamoDB vs CloudBoost vs Cloud Firestore

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

Amazon DynamoDB

3.7K
3.2K
+ 1
195
CloudBoost

9
27
+ 1
10
Cloud Firestore

715
894
+ 1
111
Get Advice from developers at your company using StackShare Enterprise. Sign up for StackShare Enterprise.
Learn More
Pros of Amazon DynamoDB
Pros of CloudBoost
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
  • 3
    Good features, simple API, save a lot of time
  • 1
    Seriously a good service, love it
  • 1
    Great Support
  • 1
    Easy to use
  • 1
    Simple API
  • 1
    Open Source
  • 1
    Great documentation
  • 1
    Docker support
  • 15
    Easy to use
  • 15
    Cloud Storage
  • 12
    Realtime Database
  • 12
    Easy setup
  • 9
    Super fast
  • 8
    Authentication
  • 6
    Realtime listeners
  • 5
    Could Messaging
  • 5
    Hosting
  • 5
    Google Analytics integration
  • 4
    Performance Monitoring
  • 4
    Crash Reporting
  • 3
    Sharing App via invites
  • 3
    Test Lab for Android
  • 3
    Adwords, Admob integration
  • 2
    Dynamic Links (Deeplinking support)
  • 0
    Robust ALI

Sign up to add or upvote prosMake informed product decisions

Cons of Amazon DynamoDB
Cons of CloudBoost
Cons of Cloud Firestore
  • 4
    Only sequential access for paginate data
  • 1
    Scaling
  • 1
    Document Limit Size
    Be the first to leave a con
    • 8
      Doesn't support FullTextSearch natively

    Sign up to add or upvote consMake informed product decisions

    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 CloudBoost?

    CloudBoost.io is a database service for the “next web” - that not only does data-storage, but also search, real-time and a whole lot more which enables developers to build much richer apps with 50% less time saving them a ton of cost and helping them go to market much faster.

    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 Amazon DynamoDB?
    What companies use CloudBoost?
    What companies use Cloud Firestore?
      No companies found

      Sign up to get full access to all the companiesMake informed product decisions

      What tools integrate with Amazon DynamoDB?
      What tools integrate with CloudBoost?
      What tools integrate with Cloud Firestore?
        No integrations found

        Sign up to get full access to all the tool integrationsMake informed product decisions

        What are some alternatives to Amazon DynamoDB, CloudBoost, 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