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Amazon DocumentDB

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Amazon SimpleDB

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Amazon DocumentDB vs Amazon SimpleDB: What are the differences?

Introduction

When deciding between Amazon DocumentDB and Amazon SimpleDB for your database needs, it is crucial to understand the key differences between the two services to make an informed decision.

  1. Scalability: Amazon DocumentDB offers a highly scalable, fully managed MongoDB-compatible database service that can easily handle growing workloads and storage requirements. In contrast, Amazon SimpleDB is a NoSQL database service that lacks the scalability and flexibility of DocumentDB, making it less suitable for rapidly expanding datasets or high traffic applications.

  2. Data Model: Amazon DocumentDB supports a document-oriented data model that is compatible with MongoDB, allowing developers to store, retrieve, and query data in a flexible and intuitive way. On the other hand, Amazon SimpleDB uses a key/value pair data model, which limits the type of queries and operations that can be performed on the data, making it less versatile compared to DocumentDB.

  3. Query Language: Amazon DocumentDB supports the MongoDB query language, which is powerful and feature-rich, enabling developers to perform complex queries and operations on their data. In contrast, Amazon SimpleDB uses a simple query language that has limited functionality and may not meet the requirements of more advanced applications or use cases.

  4. Performance: Amazon DocumentDB provides high performance and low latency for read-heavy workloads, making it suitable for applications that require quick access to data. Amazon SimpleDB, on the other hand, may not offer the same level of performance and speed due to its architecture and data model limitations.

  5. Management: Amazon DocumentDB offers a fully managed service with automated backups, monitoring, and scaling features, making it easier for developers to focus on building their applications rather than managing the database infrastructure. Amazon SimpleDB also provides some management capabilities but lacks the same level of automation and scalability as DocumentDB.

In Summary, understanding the key differences between Amazon DocumentDB and Amazon SimpleDB is essential in choosing the right database service for your specific requirements.

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    What is Amazon DocumentDB?

    Amazon DocumentDB is a non-relational database service designed from the ground-up to give you the performance, scalability, and availability you need when operating mission-critical MongoDB workloads at scale. In Amazon DocumentDB, the storage and compute are decoupled, allowing each to scale independently, and you can increase the read capacity to millions of requests per second by adding up to 15 low latency read replicas in minutes, regardless of the size of your data.

    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.

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    What companies use Amazon DocumentDB?
    What companies use Amazon SimpleDB?
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    What tools integrate with Amazon DocumentDB?
    What tools integrate with Amazon SimpleDB?
      No integrations found
      What are some alternatives to Amazon DocumentDB and Amazon SimpleDB?
      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.
      MongoDB Atlas
      MongoDB Atlas is a global cloud database service built and run by the team behind MongoDB. Enjoy the flexibility and scalability of a document database, with the ease and automation of a fully managed service on your preferred cloud.
      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).
      Atlas
      Atlas is one foundation to manage and provide visibility to your servers, containers, VMs, configuration management, service discovery, and additional operations services.
      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.
      See all alternatives