MongoDB Atlas vs Oracle Exadata Cloud at Customer comparison

MongoDB Atlas vs. Oracle Exadata Cloud at Customer

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Review summaries and opinions

We asked business professionals to review the solutions they use. Here are some excerpts of what they said:

Categories and Ranking

MongoDB Atlas

Ranking in Database as a Service (DBaaS)

3rd

Average Rating

8.4

Reviews Sentiment

7.4

Number of Reviews

Ranking in other categories

Managed NoSQL Databases (6th)

Oracle Exadata Cloud at Cus...

Ranking in Database as a Service (DBaaS)

10th

Average Rating

8.0

Reviews Sentiment

6.6

Number of Reviews

Ranking in other categories

No ranking in other categories

Mindshare comparison

As of April 2025, in the Database as a Service (DBaaS) category, the mindshare of MongoDB Atlas is 14.5%, down from 14.6% compared to the previous year. The mindshare of Oracle Exadata Cloud at Customer is 4.1%, up from 2.7% compared to the previous year. It is calculated based on PeerSpot user engagement data.

Database as a Service (DBaaS)

Featured Reviews

Laksiri Bala

DB Architect / Consultant at Virtusa Global

Room for improvement in data handling leads to enhanced cost-effective data management performance

It would be beneficial if MongoDB Atlas could better support OLTP aspects and data frames, as well as enhance its capabilities for data pipelines and visualization dashboards. Furthermore, supporting the medallion architecture could be a valuable addition, and incorporating improved spatial and vector handling for geographical data could make it more competitive. Enhancing vector processing for AI capabilities would also be critical.

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RODRIGOPETERSON

Senior Architect at Capgemini

Leverages cloud capabilities and offers minimal latency with operation model

Customers have less operational burden and more responsibility regarding the management of hardware. Increasing the scale of Oracle Exadata Cloud provides more capacity, higher performance, and expanded storage, CPU, and memory resources. If you need to scale Oracle's capacity up or down, the appliance can be adjusted on-premise. When you purchase Oracle Exadata Cloud, you must acquire either a half or full rack. If you need to increase capacity, you can scale up by adding more hardware. This hardware commitment lasts four to five years, meaning you must maintain this infrastructure and continue payments for that period. While you can scale up to meet increased demands, scaling down is more challenging. I recommend the solution when the customer desires to transition to a cloud-native solution but needs to retain their data in OpenEdge due to compatibility issues or the requirement to interact with on-premise systems to minimize latency. This solution offers minimal latency and modernizes Oracle capabilities through a gateway. Overall, I rate the solution a ten out of ten.

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Quotes from Members

We asked business professionals to review the solutions they use. Here are some excerpts of what they said:

Pros

"It's a good solution for NoSQL databases."

"It is nice because our developers create tables whenever they need to sync data."

"The stability and performance are great. The high availability feature is great. Moreover, I am happy with the automated backup and restore functionality."

"The solution has a very intuitive user interface."

"Being schemaless is what I like best about MongoDB Atlas."

"MongoDB Atlas is a database that is quite fast, stable, and reliable."

"The initial setup of MongoDB Atlas is straightforward...It is a scalable solution."

"It enables us to get work done quickly and get to our data."

More MongoDB Atlas pros

"Exporting and importing is easy because of its cleanliness, making the process easier. However, setting up the Data Guard was more difficult. Despite this, the client experienced lower downtime."

"I am particularly fond of the intelligent capabilities that enhance the backend, utilizing technology to analyze SQL queries."

"The most valuable feature is that it is based on Exadata infrastructure, which is Oracle 's leading engineered system that is trusted, fault-tolerant, and has unique performance features."

"The operation model is the most valuable feature."

"Performance has significantly improved."

"I like that Oracle Exadata Cloud at Customer is a stable, well-positioned product in the market today, and it's very scalable."

Cons

"I would like a better dashboard. It could be made a bit more user friendly."

"MongoDB Atlas should improve its user experience by providing better explanations or a wizard for people working with its UI."

"The speed when combining two documents is concerning."

"The tool's implementation should be made easier."

"That is the only drawback that I find with MongoDB: creating the trigger."

"It would be great if it were easier to integrate MongoDB Atlas with AWS services. Technical support for MongoDB Atlas could be better."

"MongoDB Atlas should add more APIs in their Terraform module because sometimes I find it difficult to find the resources in their Terraform model."

"One improvement that I would like to see is a feature to export changes made in the environment, such as creating a new user."

More MongoDB Atlas cons

"We had some problems in the developer's environment. We had some problems with the initial installation environment."

"The solution is expensive."

"A room for improvement in Oracle Exadata Cloud at Customer is that they need to train more partners to gain more knowledge because currently, they are keeping a lot to themselves. For example, they are still keeping a lot of information on their campus, so information sharing is limited."

"As a customer, you can't see the boot messages of your virtualized guest machines."

"For the data migration, we used ZDM. It was not integrated with the databases, and the documentation lacks clarity."

"Scalability is not straightforward."

Pricing and Cost Advice

"The pricing is acceptable for enterprise tier."

"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."

"MongoDB Atlas is more cost-effective than Amazon DocumentDB. It also has a pay-as-you-go pricing model. Apart from the standard licensing cost, you must also pay to get MongoDB Atlas technical support, which is expensive."

"I have seen the cost, and it was pretty cheap."

"It is an open-source platform."

"The tool is free since it's an open-source product."

"The price of MongoDB Atlas is highly affordable."

"We pay for a license."

More MongoDB Atlas pricing and cost advice

"The machine and the cloud model itself already have licensing advantages."

"The price is too much."

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Top Industries

By visitors reading reviews

Computer Software Company

19%

Financial Services Firm

16%

Comms Service Provider

Manufacturing Company

Financial Services Firm

36%

Manufacturing Company

13%

Computer Software Company

12%

Government

Company Size

By reviewers

Large Enterprise

Midsize Enterprise

Small Business

Questions from the Community

What do you like most about MongoDB Atlas?

There are many valuable features, but scalability stands out. It can scale across zones. You can define multiple nodes. They have also partnered with AWS, offering great service with multiple featu...

What is your experience regarding pricing and costs for MongoDB Atlas?

The pricing is quite acceptable and scalable. For our service, it was around 300 to 600 euros per month, which was acceptable for our customers. We could scale up for better performance and scale d...

What needs improvement with MongoDB Atlas?

I am not an expert on what improvements could be made to MongoDB. The service is continually evolving with new features while maintaining reasonable pricing, making it attractive for developers.

What do you like most about Oracle Exadata Cloud at Customer?

Exporting and importing is easy because of its cleanliness, making the process easier. However, setting up the Data Guard was more difficult. Despite this, the client experienced lower downtime.

What is your experience regarding pricing and costs for Oracle Exadata Cloud at Customer?

The pricing is reasonable due to a universal agreement, which often positions Oracle solutions better against others. I would rate the pricing an eight out of ten.

What needs improvement with Oracle Exadata Cloud at Customer?

Scalability is not straightforward, as you can scale up and not down. Improvements could be made to make scalability more flexible.

Amazon RDS vs MongoDB Atlas

Comparisons

Compared 45% of the time

Microsoft Azure SQL Database vs MongoDB Atlas

Compared 16% of the time

Google Cloud SQL vs MongoDB Atlas

Compared 13% of the time

MongoDB vs MongoDB Atlas

Compared 7% of the time

Oracle Database as a Service vs MongoDB Atlas

Compared 2% of the time

More MongoDB Atlas Competitors

Oracle Database as a Service vs Oracle Exadata Cloud at Customer

Compared 46% of the time

Amazon RDS vs Oracle Exadata Cloud at Customer

Compared 31% of the time

Google Cloud SQL vs Oracle Exadata Cloud at Customer

Compared 7% of the time

Google Cloud Spanner vs Oracle Exadata Cloud at Customer

Compared 7% of the time

More Oracle Exadata Cloud at Customer Competitors

Product Reports

MongoDB Atlas

Download MongoDB Atlas product report

Oracle Exadata Cloud at Customer

Download Oracle Exadata Cloud at Customer product report

Also Known As

Atlas

No data available

Overview

MongoDB Atlas offers a cloud-based database service known for speed, scalability, ease of use, and flexibility. Its robust features and advanced security measures support various business needs, making it ideal for unstructured data management.

MongoDB Atlas maximizes data handling capabilities by providing a seamless integration and high availability environment. The platform's schemaless architecture and rich query support make it suitable for complex data processing. With cloud-based infrastructure, deployment and maintenance are simplified, serving sectors such as healthcare, finance, and more. Organizations benefit from autoscaling, clustering, and APIs for effective project management. Continuous improvements in user experience, cost-effectiveness, query performance, and security are expected to meet evolving expectations.

What are the most important features?

Speed: Optimized for fast data handling and processing.
Scalability: Adapts to growing data needs without hassle.
Ease of Use: User-friendly interface for efficient navigation.
Flexibility: Supports unstructured data with ease.
Integration: Seamlessly connects with cloud environments.
High Availability: Ensures uninterrupted data access and operations.
Advanced Security: Protects data with robust security measures.
Schemaless Architecture: Enables dynamic data structure management.
Rich Query Support: Facilitates complex queries and analytics.

What benefits and ROI should be considered?

Easy Deployment: Streamlines the setup process in cloud environments.
Efficient Project Management: APIs and tools enhance workflow.
Cost-Effectiveness: Potential for more flexible pricing models.
Data Management: Automates backups and supports clustering.
Advanced Tools: Enables comprehensive data processing capabilities.

MongoDB Atlas is widely implemented in industries such as healthcare, finance, and technology. It serves applications requiring high availability and scalability, handling tasks from patient data management to real-time analytics. With its adaptable infrastructure, Atlas supports diverse use cases from IoT integration to transactional processing in cloud environments.

MongoDB

Oracle Cloud@Customer brings Oracle’s complete portfolio of public cloud infrastructure, fully managed cloud services, and Oracle Fusion SaaS applications into your data center. It enables you to run applications faster and lower your costs using the same high-performance capabilities, autonomous operations, and low-cost subscription pricing in Oracle Cloud Infrastructure (OCI). You get all this while maintaining complete control of your data so you can address data residency, security, and connectivity concerns.

Oracle

Sample Customers

Wells Fargo, Forbes, Ulta Beauty, Bosch, Sanoma, Current (a Digital Bank), ASAP Log, SBB, Zebra Technologies, Radial, Kovai, Eni, Accuhit, Cognigy, and Payload.

IBVI, illycaffe, Scottish Water, trueblue, AirAsia, droptank

MongoDB Atlas vs. Oracle Exadata Cloud at Customer