Item: Amazon DynamoDB
Rating: 8
Author: Sulaiman Danish

Use Cases and Deployment Scope

We at [...] use Amazon DynamoDB to handle massive user bases and support high concurrency for internet-scale applications. It helps us to manage thousands of user requests per second. It supports us in amazing caching solutions ensuring high concurrency and thousands of connections while maintaining high performance. It provides a secure access to information stored in data.

Pros and Cons

It handles huge amount of data generated by IoT devices very well.
Makes it easy to use data for real-time analytics.
Automatically increasing scaling capacity is a bonus for handling traffic spikes

Making decisions on whether to choose on-demand pricing or not.
Overriding administrative tasks manually.
There is always room for discounts if scalability is high.

Return on Investment

Since administrative tasks are automated, time spent on them becomes way less.
If one has an on-demand pricing plan, the time spent on cost optimization is way less.
High performance even on a huge scale always has a positive impact on the work.

Scalability

Because it automatically spreads the data over a sufficient number of servers and handles it well while keeping the performance up. Management and retrieval of this data is as simple too. Makes Amazon DynamoDB a good choice for high scalable applications.

Performance

It performs great in high stake situations such as having robust caching solutions, high concurrency and thousands of connections. Having this kind of performance automatically, without putting in the work is a boon. We all know dealing with setup and configuration can be hectic sometimes.

Alternatives Considered

MongoDB Atlas and Apache Cassandra

The automation is much more subtle and it performs way better for internet-scale applications. No matter the number of connections, the performance doesn't dip even a bit.

Key Insights

Do you think Amazon DynamoDB delivers good value for the price?

Yes

Are you happy with Amazon DynamoDB's feature set?

Yes

Did Amazon DynamoDB live up to sales and marketing promises?

Yes

Did implementation of Amazon DynamoDB go as expected?

Yes

Would you buy Amazon DynamoDB again?

Yes

Other Software Used

MongoDB Atlas, AWS Cloud9, Firebase

Likelihood to Recommend

With Amazon DynamoDB, adjusting your table's throughput capacity, whether scaling up or down, is a seamless process that doesn't interrupt service or compromise performance. The system autonomously distributes your table's data and traffic across an ample number of servers managing your storage needs like a pro. It does all this while ensuring high and stable performance throughout.

Feature packed with amazing service!

Overall Satisfaction with Amazon DynamoDB