Amazon DynamoDB

AWS DynamoDB allows our company to easily access a no SQL database without the hassle of maintaining it ourselves. Service discovery, networking, and IAM are all handled natively, which makes management a breeze. We access the DB from various services in the cloud and externally. The speed and reliability have exceeded expectations.

• In some cases, it invited unnecessary complexity.
• Can become really expensive for high traffic applications.
• High availability and performance.

Amazon Relational Database Service (RDS), PostgreSQL

Dynamo DB is my go-to option when requirements are for NoSQL DB that can scale very fast and have the options of global tables that can be used to support bigger infrastructures with key-value storage. The best thing is that it is a managed service so there is not a lot of overhead management required to keep it up to date.

• Definitely, less management time
• Less issues with DB performance
• The costs are a little on the upper side compared to alternatives, but its a managed service so it adds up.

Amazon Aurora, AWS Security Hub and AWS Systems Manager

Amazon CloudFront, AWS Control Tower, AWS IAM Identity Center

We use DynamoDB as it is made to run high-performance applications at any size. As it offers offers practically infinite storage and is adaptable, we use it on daily basis. It can manage millions of inquiries per second and supports high-traffic. It is super cost effective. We also use it for variety of applications. It is highly recommended by us.

• Businesses may only pay for the services they actually use thanks to DynamoDB's usage-based pricing approach.
• AWS handles hardware provisioning, data recovery, fault tolerance, patching, and database upgrades for DynamoDB since it is a fully managed database service.
• DynamoDB differs from conventional relational databases in terms of its data model, which might be difficult for developers accustomed to dealing with SQL-based systems.

Apache Cassandra

Apache Cassandra

Since this is a NoSQL DB that is able to sustain dingle-digit millisecond response times, it is very useful to implement architectures with delightful responsive UX to all our customers. Specific use cases are around: eCommerce carts where orders' documents are being assembled in DynamoDB before going to next steps of the purchasing process; multi-user interactive interfaces can benefit from the fast response to update dashboards, and interactions; and some public signage usages for arrival/departure boards can also be used for the display part of the process.

• The use of DynamoDb has helped to make our products and solutions faster and more responsive to the users. This, in turn, increments the number of transactions that can be put in eCommerce solutions.
• Having DynamoDB as part of the architecture for interoperability solutions along with SQS gives us the possibility to create B2B solutions with high resiliency.
• Creating detailed plans on the usage of this cloud component has helped us to control and minimize costs in the developed solutions.

MongoDB

Amazon Simple Queue Service (SQS), AWS Lambda

We used DynamoDB both alone and in combination with AWS lambda functions. We used DynamoDB tables to store client data and combined them with DynamoDB streams to trigger lambda functions every time the table changed. This allowed us to run functions synchronously. Another use case was to run lambda functions at a specified UTC time zone, which was again stored in DynamoDB tables.

• DynamoDB has been very effective for cost savings.
• Easy to combine with other AWS services, which is both easy to develop and maintain.
• Scalability is not an issue.
• Well-illustrated metrics.

Amazon Redshift and Amazon Relational Database Service (RDS)

AWS Lambda, AngularJS, Oracle Java Platform, Micro Edition