Likelihood to Recommend 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
Read full review Well suited for: Games, Chat rooms, real time software like corporate events, marathons and so. Anytime and anywhere you could use a NoSQL DB you should think of SimpleDB.
As an arduous AWS user, Amazon SimpleDB easily integrates with EC2 and other AWS module; and if you are not an AWS user, you also have a fantastic tool that will solve the problem for which you are focused.
Read full review Pros 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 Flexibility Easy to learn and use AWS integration Read full review Cons 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. Read full review Non AWS environments Strict storage limit (but well we have DynamoDB for storage issues) Read full review Likelihood to Renew 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.
Read full review Usability 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.
Read full review Performance 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.
Read full review Support Rating 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.
Read full review Alternatives Considered 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.
Read full review It integrates beautifully with AWS. In some projects we use SimpleDB while we use
DynamoDB for others, according to the characteristics of the project. If the infrastructure is AWS, we always think of one of them.
Read full review Scalability 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.
Read full review Return on Investment 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. Read full review Reduced database administration time Reduced data model analysis time Lower cost of resources in projects in general Read full review ScreenShots Amazon DynamoDB Screenshots