Amazon DynamoDB vs. MySQL

Overview
ProductRatingMost Used ByProduct SummaryStarting Price
Amazon DynamoDB
Score 8.8 out of 10
N/A
Amazon DynamoDB is a cloud-native, NoSQL, serverless database service.
$0
capacity unit per hour
MySQL
Score 8.3 out of 10
N/A
MySQL is a popular open-source relational and embedded database, now owned by Oracle.N/A
Pricing
Amazon DynamoDBMySQL
Editions & Modules
Provisioned - Read Operation
$0.00013
capacity unit per hour
Provisioned - Write Operation
$0.00065
capacity unit per hour
Provisioned - Global Tables
$0.000975
per Read Capacity
On-Demand Streams
$0.02
per 100,000 read operations
Provisioned - Streams
$0.02
per 100,000 read operations
On-Demand Data Requests Outside AWS Regions
$0.09
per GB
Provisioned - Data Requests Outside AWS Regions
$0.09
per GB
On-Demand Snapshot
$0.10
per GB per month
Provisioned - Snapshot
$0.10
per GB per month
On-Demand Restoring a Backup
$0.15
per GB
Provisioned - Restoring a Backup
$0.15
per GB
On-Demand Point-in-Time Recovery
$0.20
per GB per month
Provisioned - Point-in-Time Recovery
$0.20
per GB per month
On-Demand Read Operation
$0.25
per million requests
On-Demand Data Stored
$0.25
per GB per month
Provisioned - Data Stored
$0.25
per GB per month
On-Demand - Write Operation
$1.25
per million requests
On-Demand Global Tables
$1.875
per million write operations replicated
No answers on this topic
Offerings
Pricing Offerings
Amazon DynamoDBMySQL
Free Trial
NoNo
Free/Freemium Version
NoNo
Premium Consulting/Integration Services
NoNo
Entry-level Setup FeeNo setup feeNo setup fee
Additional Details
More Pricing Information
Community Pulse
Amazon DynamoDBMySQL
Considered Both Products
Amazon DynamoDB
Chose Amazon DynamoDB
I've used SQL and NoSQL solutions, such as MongoDB and MySQL. I would not choose Dynamo to be a primary datastore and one of the others is likely a better option. Dynamo is good as almost viewed as a large cache. If you want something that is more supported and easier to work …
Chose Amazon DynamoDB
Other all SQL Databases are based on the traditional Schema Structure and Amazon DynamoDB is NoSQL so you don't need to generate the SQL Schemas. You can store the data whatever you want, whenever you want. You can store data in structured or non-structured any way you want. If …
Chose Amazon DynamoDB
As a fully managed NoSQL service, DynamoDB provides a lot of functionality for relatively low cost. Scaling, sharding, throughput performance is managed for you, and you only pay for the bandwidth you provision.
Chose Amazon DynamoDB
While evaluating Cassandra, PostgreSQL, MongoDB and DynamoDB we found Cassandra and DynamoDB being well suited for us. At the same time we didn't have the luxury of large team or devops so it came down to Amazon DynamoDB. As a small team we are glad to go forward with this …
MySQL
Chose MySQL
I've been using MySQL for so long that it's my go-to RDBMS. I really like MySQL Workbench in conjunction with MySQL. I've experimented with Amazon DynamoDB in my personal time.
Chose MySQL
MySQL stands in better place when it comes to cost. It is also an inexpensive database. We selected this database due to the cost as first reason. Secondly we do not have complex database manipulation requirements separately. Occasionally we need to generate reports which we do …
Top Pros
Top Cons
TrustRadius Insights
Amazon DynamoDBMySQL
Highlights

TrustRadius
Research Team Insight
Published

Features
Amazon DynamoDBMySQL
NoSQL Databases
Comparison of NoSQL Databases features of Product A and Product B
Amazon DynamoDB
9.2
70 Ratings
5% above category average
MySQL
-
Ratings
Performance9.269 Ratings00 Ratings
Availability9.470 Ratings00 Ratings
Concurrency8.868 Ratings00 Ratings
Security9.070 Ratings00 Ratings
Scalability9.469 Ratings00 Ratings
Data model flexibility8.667 Ratings00 Ratings
Deployment model flexibility10.023 Ratings00 Ratings
Best Alternatives
Amazon DynamoDBMySQL
Small Businesses
IBM Cloudant
IBM Cloudant
Score 8.4 out of 10
Redis™*
Redis™*
Score 9.0 out of 10
Medium-sized Companies
IBM Cloudant
IBM Cloudant
Score 8.4 out of 10
Redis™*
Redis™*
Score 9.0 out of 10
Enterprises
IBM Cloudant
IBM Cloudant
Score 8.4 out of 10
Redis™*
Redis™*
Score 9.0 out of 10
All AlternativesView all alternativesView all alternatives
User Ratings
Amazon DynamoDBMySQL
Likelihood to Recommend
8.9
(80 ratings)
8.2
(134 ratings)
Likelihood to Renew
10.0
(34 ratings)
9.9
(4 ratings)
Usability
8.4
(4 ratings)
10.0
(6 ratings)
Performance
9.1
(44 ratings)
-
(0 ratings)
Support Rating
6.3
(4 ratings)
8.6
(2 ratings)
Implementation Rating
-
(0 ratings)
8.0
(1 ratings)
Product Scalability
9.1
(44 ratings)
-
(0 ratings)
User Testimonials
Amazon DynamoDBMySQL
Likelihood to Recommend
Amazon AWS
It’s great for server less and real-time applications. It would be great for gaming and mobile apps. However, if you need relational database and have fixed budget, do not use it. While budget can be managed, you need to be careful. Also this is not a tool for storing big data, there are other wide-column database types you could use for it ins the ad
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Oracle
From my own perspective and the tasks that I perform on a daily basis, MySQL is perfect. It has a reasonable footprint, is fast enough and offers the security and flexibility I need. Everyone has their preferred applications and, no doubt, for larger data warehouses or more intensive applications, MySQL may have its limits, but for the area that I operate in, it's a great match.
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Pros
Amazon AWS
  • To manage varying workloads, it enables users to increase capacity as necessary and decrease it as needed.
  • Users can take advantage of its auto-scaling, in-memory caching, and backup without paying for the services of a database administrator.
  • We can use it for low scale operations.
Read full review
Oracle
  • Security: is embedded at each level in MySQL. Authentication mechanisms are in place for configuring user access and even service account access to applications. MySQL is secure enough under the hood to store your sensitive information. Also, additional plugins are available that sit on top of MySQL for even tighter security.
  • Widely adopted: MySQL is used across the industry and is trusted the most. Therefore, if you face any problems, simply Google it and you shall land in plenty of forums. This is a great relief as when you are in a need of help, you can find it right in your browser.
  • Lightweight application: MySQL is not a heavy application. However, the data you store in the database can get heavy with time, but as in the configuration and MySql application files, those are not very heavy and can easily be installed on legacy systems as well.
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Cons
Amazon AWS
  • Cost model may not be easy to control and may lead to higher costs if not carefully planned
  • Indexing may be a cost culprit when not planned, because it's not included on the data costs
  • The Query Language may not fulfill everybody's expectations, as it has less features than those of competitors.
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Oracle
  • Although you can add the data you require as more and more data is added, the fixity of it becomes more critical.
  • As the demand, size, and use of the system increase, you may also need to change or acquire more equipment on your servers, although this is an internal inconvenience for the company.
Read full review
Likelihood to Renew
Amazon AWS
It's core to our business, we couldn't survive without it. We use it to drive everything from FTP logins to processing stories and delivering them to clients. It's reliable and easy to query from all of our pipeline services. Integration with things like AWS Lambda makes it easy to trigger events and run code whenever something changes in the database.
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Oracle
For teaching Databases and SQL, I would definitely continue to use MySQL. It provides a good, solid foundation to learn about databases. Also to learn about the SQL language and how it works with the creation, insertion, deletion, updating, and manipulation of data, tables, and databases. This SQL language is a foundation and can be used to learn many other database related concepts.
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Usability
Amazon AWS
Functionally, DynamoDB has the features needed to use it. The interface is not as easy to use, which impacts its usability. Being familiar with AWS in general is helpful in understanding the interface, however it would be better if the interface more closely aligned with traditional tools for managing datastores.
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Oracle
I give MySQL a 9/10 overall because I really like it but I feel like there are a lot of tech people who would hate it if I gave it a 10/10. I've never had any problems with it or reached any of its limitations but I know a few people who have so I can't give it a 10/10 based on those complaints.
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Performance
Amazon AWS
It works very well across all the regions and response time is also very quick due to AWS's internal data transfer. Plus if your product requires HIPPA or some other regulations needs to be followed, you can easily replicate the DB into multiple regions and they manage all by it's own.
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Oracle
No answers on this topic
Support Rating
Amazon AWS
I have not had to contact support for this service, however I have had to contact AWS for other services and their support has been good.
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Oracle
The support staff is friendly, knowledgeable, and efficient. I only had to get part way through my explanations before they had a solution. They will walk you through a fix or actually connect in and fix the problem for you--or would if you can allow it. I've done it both ways with them. They are always forthcoming with 'how to do this if it happens again' information. I love working with MySQL support.
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Implementation Rating
Amazon AWS
No answers on this topic
Oracle
1. Estimate your data size. 2. Test, test, and test.
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Alternatives Considered
Amazon AWS
The only thing that can be compared to DynamoDB from the selected services can be Aurora. It is just that we use Aurora for High-Performance requirements as it can be 6 times faster than normal RDS DB. Both of them have served as well in the required scenario and we are very happy with most of the AWS services.
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Oracle
MongoDB has a dynamic schema for how data is stored in 'documents' whereas MySQL is more structured with tables, columns, and rows. MongoDB was built for high availability whereas MySQL can be a challenge when it comes to replication of the data and making everything redundant in the event of a DR or outage.
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Scalability
Amazon AWS
I have taken one point away due to its size limits. In case the application requires queries, it becomes really complicated to read and write data. When it comes to extremely large data sets such as the case in my company, a third-party logistics company, where huge amount of data is generated on a daily basis, even though the scalability is good, it becomes difficult to manage all the data due to limits.
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Oracle
No answers on this topic
Return on Investment
Amazon AWS
  • Some developers see DynamoDB and try to fit problems to it, instead of picking the best solution for a given problem. This is true of any newer tool that people are trying to adopt.
  • It has allowed us to add more scalability to some of our systems.
  • As with any new technology there was a ramp up/rework phase as we learned best practices.
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Oracle
  • As it is an open source solution through community solution, we can use it in a multitude of projects without cost license
  • The acquisition by Oracle makes you need to contract support for the enterprise version
  • If you have knowledge about oracle databases, you can get more out of the enterprise version
Read full review
ScreenShots

Amazon DynamoDB Screenshots

Screenshot of Amazon DynamoDB in the AWS Console