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 (5th)

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 March 2025, in the Database as a Service (DBaaS) category, the mindshare of MongoDB Atlas is 14.8%, up from 14.3% compared to the previous year. The mindshare of Oracle Exadata Cloud at Customer is 4.2%, up from 2.4% compared to the previous year. It is calculated based on PeerSpot user engagement data.

Database as a Service (DBaaS)

Featured Reviews

Luca Botti

Partner at Red software systems

Supportive features enable effective data management and growth

I find MongoDB Atlas highly scalable and easy to use, with very good support. The pricing is quite scalable and applies to various scenarios, both for smaller and bigger companies. MongoDB Atlas has supported our data growth well, and my overall impression is very positive. It is easy to work with and has a reliable support structure. For structured data storage and performance, it provides a comprehensive solution, and the feedback was generally positive.

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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

"The speed of it is the most valuable feature."

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

"The solution has a very intuitive user interface."

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

"The cloud-based nature of this solution makes it flexible and scalable."

"It is a scalable solution because we use quite a lot of data, and it handles it well."

"Scalability is its most valuable feature, as it is pretty simple."

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

More MongoDB Atlas pros

"The operation model is the most valuable feature."

"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."

"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."

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

"Performance has significantly improved."

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

Cons

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

"The product's data aggregation feature needs to work faster."

"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."

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

"The product's file storage documentation needs improvement."

"Based on its own habitat, it's not ACID compliant. If it had an ACID compliant option, it would be more useful for database administration."

"I would like a more comprehensive dashboard."

"From an improvement standpoint, MongoDB can improve security."

More MongoDB Atlas cons

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

"The solution is expensive."

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

"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."

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

"Scalability is not straightforward."

Pricing and Cost Advice

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

"Comparing the price between the MongoDB and Microsoft SQL Server, we are using the enterprise edition of Microsoft SQL Server, which is more expensive than MongoDB."

"We're currently using the Atlas for the night and don't require a license. However, it can be a problem if you want to use their enterprise environment. Then you need to purchase the license."

"The pricing is not that expensive, but it can be, especially when we have deployed it across multiple zones."

"I am using the free version of the solution."

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

"The purchasing process through the AWS Marketplace was very good."

"MongoDB Atlas is not expensive, and since it's a cloud-based solution, you pay by usage."

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

Healthcare 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 47% of the time

Microsoft Azure SQL Database vs MongoDB Atlas

Compared 15% of the time

Google Cloud SQL vs MongoDB Atlas

Compared 14% of the time

MongoDB vs MongoDB Atlas

Compared 6% 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 47% of the time

Amazon RDS vs Oracle Exadata Cloud at Customer

Compared 28% of the time

Google Cloud Spanner vs Oracle Exadata Cloud at Customer

Compared 10% of the time

Google Cloud SQL vs Oracle Exadata Cloud at Customer

Compared 8% 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