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  1. Stackups
  2. Application & Data
  3. NoSQL Databases
  4. NOSQL Database As A Service
  5. Amazon DocumentDB vs Amazon SimpleDB

Amazon DocumentDB vs Amazon SimpleDB

OverviewComparisonAlternatives

Overview

Amazon SimpleDB
Amazon SimpleDB
Stacks21
Followers50
Votes0
Amazon DocumentDB
Amazon DocumentDB
Stacks72
Followers64
Votes0

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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Detailed Comparison

Amazon SimpleDB
Amazon SimpleDB
Amazon DocumentDB
Amazon DocumentDB

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.

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.

<div>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.;A table in Amazon SimpleDB has a strict storage limitation of 10 GB and is limited in the request capacity it can achieve (typically under 25 writes/second). It is up to you to manage the partitioning and re-partitioning of your data over additional SimpleDB tables if you need additional scale.</div>
MongoDB-compatible;Fully managed;Performance at scale
Statistics
Stacks
21
Stacks
72
Followers
50
Followers
64
Votes
0
Votes
0
Pros & Cons
No community feedback yet
Pros
  • 0
    Easy Setup
  • 0
    Scalable
  • 0
    Storage elasticity

What are some alternatives to Amazon SimpleDB, Amazon DocumentDB?

Amazon DynamoDB

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.

Azure Cosmos DB

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.

Cloud Firestore

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.

Cloudant

Cloudant

Cloudant’s distributed database as a service (DBaaS) allows developers of fast-growing web and mobile apps to focus on building and improving their products, instead of worrying about scaling and managing databases on their own.

Google Cloud Bigtable

Google Cloud Bigtable

Google Cloud Bigtable offers you a fast, fully managed, massively scalable NoSQL database service that's ideal for web, mobile, and Internet of Things applications requiring terabytes to petabytes of data. Unlike comparable market offerings, Cloud Bigtable doesn't require you to sacrifice speed, scale, or cost efficiency when your applications grow. Cloud Bigtable has been battle-tested at Google for more than 10 years—it's the database driving major applications such as Google Analytics and Gmail.

Google Cloud Datastore

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.

CloudBoost

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.

Firebase Realtime Database

Firebase Realtime Database

It is a cloud-hosted NoSQL database that lets you store and sync data between your users in realtime. Data is synced across all clients in realtime, and remains available when your app goes offline.

restdb.io

restdb.io

RestDB is a NoSql document oriented database cloud service. Data is accessed as JSON objects via HTTPS. This gives great flexibility, easy system integration and future compatibility.

Datomic Cloud

Datomic Cloud

A transactional database with a flexible data model, elastic scaling, and rich queries. Datomic is designed from the ground up to run on AWS. Datomic leverages AWS technology, including DynamoDB, S3, EFS, and CloudFormation to provide a fully integrated solution.

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