Amazon Athena is an interactive query service that makes it easy to analyze data directly in Amazon S3 using standard SQL. With a few clicks in the AWS Management Console, customers can point Athena at their data stored in S3 and begin using standard SQL to run ad-hoc queries and get results in seconds. Athena is serverless, so there is no infrastructure to setup or manage, and customers pay only for the queries they run. You can use Athena to process logs, perform ad-hoc analysis, and run…
$5
per TB of Data Scanned
MongoDB Atlas
Score 8.7 out of 10
N/A
MongoDB Atlas is the company's automated managed cloud service, supplying automated deployment, provisioning and patching, and other features supporting database monitoring and optimization.
If you are looking to take a lot of the traditional "database administration" work off someone's plate, going with Amazon Athena certainly has "no code" options to optimize lots of database tasks. I would say this option is less appropriate if you have other Microsoft things at play, such as Power BI.
It is suitable for database administrative operations that require a high level of speed, since by not working with conventional SQL it is possible to create data records faster, and therefore better manage work time. It is not necessary to create backend connections for the databases, since these backends of different web pages and applications automatically centralize the development data in a single place, which is useful when managing many services in parallel. It is much easier and faster to get a specific document based on special characteristics of your data, through the filtering system of MongoDB Atlas, since it manages large numbers of servers, and has a high capacity of data mimicry. The cluster shows a history of all the operations that have been performed during the day, so that it is easy to make job regressions in case you need to identify an error that occurred at some point during the day. All data from the MongoDB web application is automatically stored in the Atlas cloud.
We love MongoDB support and have great relationship with them. When we decided to go with MongoDB Atlas, they sent a team of 5 to our company to discuss the process of setting up a Mongo cluster and walked us through. when we have questions, we create a ticket and they will respond very quickly
Amazon Athena, a product from Amazon, competes with offerings from Google and Microsoft. Overall, I think your database choice depends on some of the other applications you are running at your company. For example, if you are using Microsoft Power BI for reporting needs, you might want to consider going the Azure route.
When choosing a NoSQL, open source database, MongoDB is the clear winner from an implementation standpoint. For databases that are better suited for highly-organized data, a traditional database engine like MySQL, PostgreSQL, or Oracle's RDBMS may be a better choice. When the requirement is for a NoSQL production database, MongoDB and Atlas are the clear winners from an implementation and management perspective and is very cost-competitive with offerings from Azure Cosmos and Amazon Document DB.
Since we can cover a much more exhaustive database management with MongoDB Atlas, we can say that we have partly increased our profit intake in relation to the time we have been using the software.
MongoDB Atlas has improved our earnings by 400%, which leaves our current ROI at a percentage of 5, having achieved our first 200% in the first half year of using the software.
