Amazon DynamoDB vs. Percona Server for MongoDB

Well suited: DynamoDB is ideal for web and mobile applications that experience rapid and unpredictable traffic spikes. Its ability to auto-scale in response to demand ensures consistent performance under heavy loads. DynamoDB is well-suited for managing user sessions and user profiles in applications, ensuring quick access to session data without compromising performance. Less appropriate: DynamoDB is optimized for storing structured data but may not be the best choice for storing large binary files like images, videos, or documents. In such cases, using a dedicated storage service like Amazon S3 is more appropriate. If your application has consistent and predictable workloads that do not require frequent scaling, the cost-effectiveness of DynamoDB's on-demand pricing model may be less appealing compared to provisioned capacity.

Incentivized

It offers good support for the implementation of solutions in the public and on-premises cloud and integration with other services such as Hashicorp Vault for data encryption. One of the main advantages is the ease of configuration, in addition to offering transaction support for the different operations and scalability of the servers.

Incentivized

• 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.

Incentivized

• High performance
• Integration with other tools and services
• Big data projects oriented
• High availability and scalability

Incentivized

• 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.

Incentivized

• The learning curve makes it a bit tricky to use at first.
• Documentation is an aspect to improve, especially for people who are just starting out.
• At the interface level, the user experience could be improved.

Incentivized

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.

Incentivized

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.

Incentivized

One aspect to improve is the user experience since sometimes the steps to take are not clear and the user may need to review some of the actions before continuing with the next ones. Another aspect to improve is the documentation and support for developers who want to know the tool.

Incentivized

For us, it performs well in most of the regions. It surely provides a seamless experience as it has greatly helped in us providing real-time analysis on huge datasets which has greatly reduced time to customer which was not the case before. It is responsive at all scales for sure.

Incentivized

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.

Incentivized

It offers good support for the implementation of solutions in the public and on-premises cloud and integration with other services such as Hashicorp Vault for data encryption. Also, it offers support for different compatible programming languages such as C, C ++, Java, as well as offering good support for the persistence of schema-free data and the possibility of saving data in memory.

Incentivized

Comparing RDS and Dynamo is not fully Apples to Apples comparison. RDS is a more flexible cloud-native solution that supports a wide range of engines that are relational. It is great for running older DB types like Oracle in the Cloud. Because it supports multiple engines, it is a popular choice for doing hybrid design between Cloud and On-Prem. DynamoDB is a Key Value database option, which shares some of the performance and security that RDS does with a more specific focus/use case.

Incentivized

At the performance level, it is similar to other solutions such as MongoDB and Percona Server for MySQL. and at the customization level, it offers better support for the development of specific solutions that seek good performance in transactions.

Incentivized

DynamoDB is very easy to scale. It is easy to log into the UI console and create tables according to scalability needs. My personal experience with DynamoDB has been excellent since I had little to no experience, but the documentation and industry support are excellent, and any developer can readily pick it up to use for developmental purposes.

Incentivized

• 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.

Incentivized

• It offers a good alternative solution compared with other open source databases.
• We have many resources at the documentation level and other tools that help the integration with different programming languages.

Incentivized