Amazon Aurora vs Amazon DynamoDB

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Amazon Aurora

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Amazon DynamoDB

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Amazon Aurora vs Amazon DynamoDB: What are the differences?

Developers describe Amazon Aurora as "MySQL and PostgreSQL compatible relational database with several times better performance". Amazon Aurora is a MySQL-compatible, relational database engine that combines the speed and availability of high-end commercial databases with the simplicity and cost-effectiveness of open source databases. Amazon Aurora provides up to five times better performance than MySQL at a price point one tenth that of a commercial database while delivering similar performance and availability. On the other hand, Amazon DynamoDB is detailed as "Fully managed NoSQL database service". 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.

Amazon Aurora belongs to "SQL Database as a Service" category of the tech stack, while Amazon DynamoDB can be primarily classified under "NoSQL Database as a Service".

Some of the features offered by Amazon Aurora are:

  • High Throughput with Low Jitter
  • Push-button Compute Scaling
  • Storage Auto-scaling

On the other hand, Amazon DynamoDB provides the following key features:

  • Automated Storage Scaling – There is no limit to the amount of data you can store in a DynamoDB table, and the service automatically allocates more storage, as you store more data using the DynamoDB write APIs
  • Provisioned Throughput – When creating a table, simply specify how much request capacity you require. DynamoDB allocates dedicated resources to your table to meet your performance requirements, and automatically partitions data over a sufficient number of servers to meet your request capacity
  • Fully Distributed, Shared Nothing Architecture

"MySQL compatibility " is the top reason why over 12 developers like Amazon Aurora, while over 61 developers mention "Predictable performance and cost" as the leading cause for choosing Amazon DynamoDB.

According to the StackShare community, Amazon DynamoDB has a broader approval, being mentioned in 836 company stacks & 2072 developers stacks; compared to Amazon Aurora, which is listed in 279 company stacks and 318 developer stacks.

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Pros of Amazon Aurora
Pros of Amazon DynamoDB
  • 13
    MySQL compatibility
  • 12
    Better performance
  • 10
    Easy read scalability
  • 8
    Speed
  • 7
    Low latency read replica
  • 2
    High IOPS cost
  • 1
    Good cost performance
  • 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

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Cons of Amazon Aurora
Cons of Amazon DynamoDB
  • 2
    Vendor locking
  • 1
    Rigid schema
  • 4
    Only sequential access for paginate data
  • 1
    Scaling
  • 1
    Document Limit Size

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What is Amazon Aurora?

Amazon Aurora is a MySQL-compatible, relational database engine that combines the speed and availability of high-end commercial databases with the simplicity and cost-effectiveness of open source databases. Amazon Aurora provides up to five times better performance than MySQL at a price point one tenth that of a commercial database while delivering similar performance and availability.

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.

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What companies use Amazon Aurora?
What companies use Amazon DynamoDB?
See which teams inside your own company are using Amazon Aurora or Amazon DynamoDB.
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What tools integrate with Amazon Aurora?
What tools integrate with Amazon DynamoDB?

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What are some alternatives to Amazon Aurora and Amazon DynamoDB?
Amazon RDS
Amazon RDS gives you access to the capabilities of a familiar MySQL, Oracle or Microsoft SQL Server database engine. This means that the code, applications, and tools you already use today with your existing databases can be used with Amazon RDS. Amazon RDS automatically patches the database software and backs up your database, storing the backups for a user-defined retention period and enabling point-in-time recovery. You benefit from the flexibility of being able to scale the compute resources or storage capacity associated with your Database Instance (DB Instance) via a single API call.
Google Cloud SQL
MySQL databases deployed in the cloud without a fuss. Google Cloud Platform provides you with powerful databases that run fast, don’t run out of space and give your application the redundant, reliable storage it needs.
Azure SQL Database
It is the intelligent, scalable, cloud database service that provides the broadest SQL Server engine compatibility and up to a 212% return on investment. It is a database service that can quickly and efficiently scale to meet demand, is automatically highly available, and supports a variety of third party software.
DigitalOcean Managed Databases
Build apps and store data in minutes with easy access to one or more databases and sleep better knowing your data is backed up and optimized.
Books
It is an immutable double-entry accounting database service. It supports many clients and businesses at global scale, leaning on Google Cloud Spanner and Google Kubernetes Engine to make that possible.
See all alternatives