Compare MongoDB Atlas vs. Oracle Database as a Service
MongoDB Atlas is ranked 5th in Database as a Service with 8 reviews while Oracle Database as a Service is ranked 2nd in Database as a Service with 7 reviews. MongoDB Atlas is rated 8.2, while Oracle Database as a Service is rated 8.2. The top reviewer of MongoDB Atlas writes "You can start quickly on projects which allow you to store many things". On the other hand, the top reviewer of Oracle Database as a Service writes "One of the benefits is the ability to use solutions you're familiar with and leverage the cloud. ". MongoDB Atlas is most compared with Amazon RDS, IBM Cloudant and SQL Azure, whereas Oracle Database as a Service is most compared with Google Cloud SQL, SQL Azure and Amazon RDS. See our MongoDB Atlas vs. Oracle Database as a Service report.
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 Find out what your peers are saying about MongoDB Atlas vs. Oracle Database as a Service and other solutions. Updated: March 2020. 408,459 professionals have used our research since 2012. | |||||
Quotes From Members
We asked business professionals to review the solutions they use. Here are some excerpts of what they said:
Pros | |
Scalability is its most valuable feature, as it is pretty simple. It has a flexible integration with our easy API. It is nice because our developers create tables whenever they need to sync data. Its most valuable features are high availability and zero maintenance. You can start quickly on projects which allow you to store many things. It enables us to get work done quickly and get to our data. As a tester, it was easy to validate data, access data, make active run queries against it, and retrieve data from it. Our databases used to be in-house. Now, they are in the cloud with MongoDB and everything is much easier. | The most valuable aspects of the solution are the general database system resilience and security. It is a product brought to you by a company that concentrates only on database solutions, so it is the best at what it does. One of the key features is Oracle Database as a Service. We chose to implement it as a service, which provides good performance, for example. Flexibility and other features let us implement database research with the SQL team range of features also. When we want more information on something that we are using, it is easy to find related topics on the internet. Scalability is very easy. If you want to, you can make it onto two or three servers, racks, or whatever you want. It's easy. Improves client satisfaction by decreasing their problems. |
Cons | |
The cost needs improvement. During the configuration, we did some migrations where we had to reindex about 70,000 indexes, which took around an hour. They should improve this and optimize the indexing. We had some bad trainers when we first came onboard and would rate them fairly low. They did not seem staffed properly to fulfill the training services that they offered. The cost needs improvement. The product is good, but the cost that we paid for it is expensive, so it wasn't that valuable. I would like a more comprehensive dashboard. Going forward, we would like to have pure AWS Cloud (native) storage instead regular storage on the AWS integration side. The import and export process needs improvement, i.e., getting in and out. Moving data from other databases into MongoDB, along with indexing, was challenging. The UI application for MongoDB crashes a lot, so we would have to use a third-party plugin to make it work. | Documentation is difficult to find. Since we're experienced with Oracle technology, we have also found many errors in it. Not everything is 100% accurate. The interface can be difficult and there may be so many features that users and even vendors are unaware that they exist. The direct scaling is a feature that has room for improvement. I would like to see virtual management machines that can scale storage well with zero downtime. The backup option and patching would then be much easier to do. In the next release, I would like to see a framework for memory management. Some of the technical features could be improved. They have a problem with some of the object types. I think this is one of the issues which is needed to be improved. I would like to see a better dashboard for the storage. It need to be more complete overall. |
Pricing and Cost Advice | |
Pricing could always be better. The pricing is good. We originally chose it over DynamoDB because of the pricing. It is too expensive. They need to work on this. In my previous company, the product allowed use to build a database in a highly regulated environment with the ability to get distributed storage. We used MongoDB as a distributed storage to set up this environment for a critical business application with millions of dollars. The purchasing process through the AWS Marketplace was very good. The pricing and licensing is great. | The pricing may seem expensive, but the value corresponds to the quality of the product. The price depends on the solution you choose: standard, enterprise, or high performance. For example, enterprise can start between 0.4 an hour up to 1,800. Additional fees also depends on what package you choose. Your feels will be different if you choose the standard, enterprise, high performance, or extreme package. You will pay in relation to what option you ask for. The price is very good if you compare it to other databases. |
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Ranking  | |
Views 590 Comparisons 111 Reviews 8 Average Words per Review 329 Avg. Rating 8.1 | Views 2,120 Comparisons 1,589 Reviews 7 Average Words per Review 748 Avg. Rating 8.3 |
Top Comparisons | |
 Compared 36% of the time.  Compared 28% of the time.  Compared 13% of the time. |  Compared 37% of the time. Compared 31% of the time. Compared 18% of the time. |
Also Known As | |
| Atlas | Oracle DBaaS, Oracle Database Cloud |
Learn | |
| MongoDB | Oracle |
Overview | |
MongoDB Atlas delivers the world’s leading database for modern applications as a fully automated cloud service engineered and run by the same team that builds the database. Proven operational and security practices are built in, automating time-consuming administration tasks such as infrastructure provisioning, database setup, ensuring availability, global distribution, backups, and more. The easy-to-use UI and API let you spend more time building your applications and less time managing your database. | Oracle Database Cloud Service combines the power of Oracle Database, with the unique capabilities of the Oracle Cloud. The service provides a secure, automated data management platform that leverages on demand Oracle Cloud Infrastructure services via a simple web based user interface and RESTful API. Oracle Database Cloud Service provides elastic database services for development, test, and production environments of custom and packaged online transaction processing (OLTP), data warehousing, and mixed workload applications. It enables businesses to reap all Oracle Platform as a Service (PaaS) benefits including subscriptionbased, self-service access to reliable, scalable, and elastic cloud environments and accelerates time to value by simplifying the provisioning and administration of Oracle databases. |
Offer | |
Learn more about MongoDB Atlas | Learn more about Oracle Database as a Service |
Sample Customers | |
| eHarmony, Sega, KPMG, Telefonica, Checkr, 7-Eleven | Solution-Soft, DX Marketing, Suredell and Partners, Frontiers, SettleOurEstate.com, Demand Analysis Ltd, endlich IT & Projekt Service OHG |
Top Industries | |
No Data Available | Software R&D Company45% Media Company17% Comms Service Provider11% Energy/Utilities Company6% |
Find out what your peers are saying about MongoDB Atlas vs. Oracle Database as a Service and other solutions. Updated: March 2020.
408,459 professionals have used our research since 2012.
See also MongoDB Atlas Reviews, Oracle Database as a Service Reviews, and our list of Best Database as a Service Companies.
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