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Amazon SimpleDB vs Azure Cosmos DB: What are the differences?

What is Amazon SimpleDB? Highly available and flexible non-relational data store. 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 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.

Amazon SimpleDB and Azure Cosmos DB belong to "NoSQL Database as a Service" category of the tech stack.

Some of the features offered by Amazon SimpleDB are:

  • Amazon SimpleDB automatically manages infrastructure provisioning, hardware and software maintenance, replication and indexing of data items, and performance tuning.
  • Amazon SimpleDB automatically creates multiple geographically distributed copies of each data item you store.
  • You can also choose between consistent or eventually consistent read requests, gaining the flexibility to match read performance (latency and throughput) and consistency requirements to the demands of your application, or even disparate parts within your application.
  • On the other hand, Azure Cosmos DB provides the following key features:

    • 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
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Pros of Amazon SimpleDB
Pros of Azure Cosmos DB
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    • 28
      Best-of-breed NoSQL features
    • 22
      High scalability
    • 15
      Globally distributed
    • 14
      Automatic indexing over flexible json data model
    • 10
      Tunable consistency
    • 10
      Always on with 99.99% availability sla
    • 7
      Javascript language integrated transactions and queries
    • 6
      Predictable performance
    • 5
      High performance
    • 5
      Analytics Store
    • 2
      Rapid Development
    • 2
      No Sql
    • 2
      Auto Indexing
    • 2
      Ease of use

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    Cons of Amazon SimpleDB
    Cons of Azure Cosmos DB
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      • 18
        Pricing
      • 4
        Poor No SQL query support

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      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 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.

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      What companies use Amazon SimpleDB?
      What companies use Azure Cosmos DB?
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      What tools integrate with Amazon SimpleDB?
      What tools integrate with Azure Cosmos DB?
        No integrations found

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        What are some alternatives to Amazon SimpleDB and Azure Cosmos DB?
        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.
        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.
        PostgreSQL
        PostgreSQL is an advanced object-relational database management system that supports an extended subset of the SQL standard, including transactions, foreign keys, subqueries, triggers, user-defined types and functions.
        Redis
        Redis is an open source (BSD licensed), in-memory data structure store, used as a database, cache, and message broker. Redis provides data structures such as strings, hashes, lists, sets, sorted sets with range queries, bitmaps, hyperloglogs, geospatial indexes, and streams.
        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