Amazon DynamoDB vs Amazon SimpleDB vs Google Cloud Datastore

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Amazon DynamoDB

4K
3.2K
+ 1
195
Amazon SimpleDB

21
49
+ 1
0
Google Cloud Datastore

284
356
+ 1
12
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Pros of Amazon DynamoDB
Pros of Amazon SimpleDB
Pros of Google Cloud Datastore
  • 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
    Be the first to leave a pro
    • 7
      High scalability
    • 2
      Serverless
    • 2
      Ability to query any property
    • 1
      Pay for what you use

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    Cons of Amazon DynamoDB
    Cons of Amazon SimpleDB
    Cons of Google Cloud Datastore
    • 4
      Only sequential access for paginate data
    • 1
      Scaling
    • 1
      Document Limit Size
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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 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.

        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.

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

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        What tools integrate with Amazon DynamoDB?
        What tools integrate with Amazon SimpleDB?
        What tools integrate with Google Cloud Datastore?
          No integrations found

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          What are some alternatives to Amazon DynamoDB, Amazon SimpleDB, and Google Cloud Datastore?
          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.
          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
          Amazon Redshift
          It is optimized for data sets ranging from a few hundred gigabytes to a petabyte or more and costs less than $1,000 per terabyte per year, a tenth the cost of most traditional data warehousing solutions.
          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