Amazon SimpleDB is a non-relational data store and service.
$0
per GB allowance
MongoDB Atlas
Score 8.4 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.
$57
per month
SAP HANA Cloud
Score 8.9 out of 10
N/A
SAP HANA is an application that uses in-memory database technology to process very large amounts of real-time data from relational databases, both SAP and non-SAP, in a very short time. The in-memory computing engine allows HANA to process data stored in RAM as opposed to reading it from a disk which means that the data can be accessed in real time by the applications using HANA. The product is sold both as an appliance and as a cloud-based software solution.
N/A
Pricing
Amazon SimpleDB
MongoDB Atlas
SAP HANA Cloud
Editions & Modules
Machine Utilization
$0.00 for first 25 hours $0.14 per machine hour over 25 hours
per GB allowance
Structured Data Storage
$0.00 for first GB-month $0.25 per GB-month thereafter
per GB allowance
Free Tier
25 SimpleDB Machine Hours and 1 GB of Storage for free each month
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.
In general, they all compete against each other, and each solution has its own advantages and disadvantages. While MongoDB Atlas was the way to go for some cases, however, other databases were more fit for some services that MongoDB Atlas, especially if they were managed by us, …
MongoDB Atlas has been in the market for very long time and there are bunch of documentation, training and support for it. It also is specifically designed for the use case similar to our project and big companies in the market uses them for very high load which made us …
Both AWS RDS and MongoDB Atlas provide a state-of-the-art managed database hosting service, with the difference being the type of databases they support. AWS RDS does not support MongoDB engine and Atlas only supports MongoDB. So I consider them complimentary services and we …
MongoDB Atlas has an excellent rating out there in the market. They have a great supporting team as well. When we have questions about technical stuff, they respond fast. The performance of MongoDB Atlas is the key factor that we choose to use. Because it has such an easy way …
Vice President, Chief Architect, Development Manager and Software Engineer
Chose MongoDB Atlas
MongoDB is a great product but on premise deployments can be slow. So we turned to Atlas. We also looked at Redis Labs and we use Redis as our side cache for app servers. But we love using MongoDB Atlas for cloud deployments, especially for prototyping because we can get …
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 …
As our organization was already using various SAP applications we choose SAP HANA Cloud. It was easier to integrate various SAP applications in SAP HANA Cloud than IBM Cloud Databases.
A standard Laboratory information systems, QEdge and Trackwise all are functional application. They are brilliant in providing information and data in real time, where SAP HANA Cloud is a data platform,which seats beneath the data managing system and helps for QA oversight for …
Faster implementation and easy to use. When we compare to other ERPs in the market. It provides unified processing of transactional data and better memory processing. Compared to other platforms, it better supports the AI area. It also has a strong infrastructure to support …
We choose SAP HANA Cloud over IBM Cloud Database because we are more familiar with SAP products. It also provides many advanced features than IBM Cloud Databases
Much more integrated with other SAP offerings and very powerful response. Less focused on pro-code scenarios, e.g., using notebooks. Extreme workloads can become expensive and more difficult to scale than the dedicated tools that separate the compute completely from the …
Evaluated for its separation of compute and storage and lower entry cost, but it lacked the native understanding of complex SAP ERP semantics (ABAP logic) without extensive data reconstruction
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.
I would recommend MongoDB Atlas to every company who have a significant need in the NoSQL database and do not want to manage their infrastructure. Using MongoDB Atlas can significantly reduce your management time and cost, which saves valuable resources for other tasks. It also suits a smaller company as MongoDB Atlas scales up and down very quickly.
I think if you have a large organization, it's probably the product and the marketplace to go to. We're a large management consulting firm operating in four to seven countries. And generally speaking, I think that's the size and the scope where it scales best. I can't speak to smaller companies, but I can't see smaller companies leveraging the benefits as much as a larger organization can.
Generous free and trial plan for evaluation or test purposes.
New versions of MongoDB are able to be deployed with Atlas as soon as they're released—deploying recent versions to other services can be difficult or risky.
As the key supporters of the open source MongoDB project, the service runs in a highly optimized and performant manner, making it much easier than having to do the work internally.
For someone new, it could be challenging using MongoDB Atlas. Some official video tutorials could help a lot
Pricing calculation is sometimes misleading and unpredictable, maybe better variables could be used to provide better insights about the cost
Since it is a managed service, we have limited control over the instances and some issues we faced we couldn't;'t know about without reaching out to the support and got fixed from their end. So more control over the instance might help
The way of managing users and access is somehow confusing. Maybe it could be placed somewhere easy to access
Requires higher processing power, otherwise it won't fly. How ever computing costs are lower. Incase you are migrating to cloud please do not select the highest config available in that series . Upgrading it later against a reserved instance can cost you dearly with a series change
Lack of clarity on licensing is one major challenge
Unless S/4 with additional features are enabled mere migration HANA DB is not a rewarding journey. Power is in S/4
At this moment we are not focusing on SAP, however would love to in the future. This is primarily because of our limited ability to generate more revenue to fund for SAP partnerships and products. Our initial tryst with SAP Partneredge open ecosystem didn't go as planned and we have shelved that for now. Hope we can revive in the future
I would give it 8. Good stuff: 1. Easy to use in terms of creating cluster, integrating with Databases, setting up backups and high availability instance, using the monitors they provide to check cluster status, managing users at company level, configure multiple replicas and cross region databases. Things hard to use: 1. roles and permissions at DB level. 2. Calculate expected costs
It is very useful solution which provides you speedier data processing, real-time analytics. It helps you manage diverse data types. It also offers you excellent disaster management. It has user friendly interface which helps you navigate system and transactions easily and perform task smoothly.
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
One specific example of how the support for SAP HANA Cloud impacted us is in our efforts to troubleshoot and resolve technical issues. Whenever we encountered an issue or had a question, the support team was quick to respond and provided us with clear and actionable guidance. This helped us avoid downtime and keep our analytics operations running smoothly.
Professional GIS people are some of the most risk-averse there are, and it's difficult to get them to move to HANA in one step. Start with small projects building to 80% use of HANA spatial over time.
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.
In general, they all compete against each other, and each solution has its own advantages and disadvantages. While MongoDB Atlas was the way to go for some cases, however, other databases were more fit for some services that MongoDB Atlas, especially if they were managed by us, which means less cost, like Redis for example
It enables preview and better cloud service than other cloud platforms. Easy document transfer and faster document transfer are the key points for the selection of the HANA cloud server. The preview of data before its execution is also one of the factors in the selection of the HANA server.