MongoDB Atlas vs Oracle Exadata Cloud at Customer comparison

Why PeerSpot?

MongoDB and Oracle are both solutions in the Database as a Service (DBaaS) category. MongoDB is ranked #5 with an average rating of 8.0, while Oracle is ranked #16 with an average rating of 7.0. MongoDB holds a 9.8% mindshare in DS, compared to Oracle’s 3.1% mindshare. Additionally, 96% of MongoDB users are willing to recommend the solution, compared to 100% of Oracle users who would recommend it.

MongoDB Atlas

Read 51 MongoDB Atlas reviews

14,012 Views
5,745 Comparison Views

96% willing to recommend

Oracle Exadata Cloud at Cus...

Read 7 Oracle Exadata Cloud at Customer reviews

1,834 Views
1,834 Comparison Views

100% willing to recommend

MongoDB Atlas

Oracle Exadata Cloud at Cus...

Comparison Buyer's Guide

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Executive SummaryUpdated on Jan 11, 2026

MongoDB Atlas and Oracle Exadata Cloud at Customer compete in the database management market. MongoDB Atlas appears to have the upper hand due to its cloud flexibility and scalability, while Oracle Exadata offers robust performance, catering to high availability needs.

Features: MongoDB Atlas is known for its cloud-based design, allowing rapid deployment and seamless scalability with a wide array of integration tools and a schemaless architecture. Oracle Exadata Cloud at Customer excels with fault tolerance, offering a stable environment with engineered systems ensuring high availability and performance.

Room for Improvement: MongoDB Atlas needs better dashboards, improved database backup processes, and enhanced integration options, facing challenges with large datasets and high support costs. Oracle Exadata Cloud at Customer could improve scalability options and partner training, with users highlighting documentation clarity and cost transparency issues in non-CDB models.

Ease of Deployment and Customer Service: MongoDB Atlas is appreciated for ease of use and rapid deployment in public cloud environments but has mixed support experience with high costs for premium support. Oracle Exadata Cloud at Customer receives positive feedback for customer service and emphasizes control in deployments, though users note scalability and training challenges.

Pricing and ROI: MongoDB Atlas offers a flexible pay-as-you-go model that is cost-effective, although its support is often expensive. Oracle Exadata Cloud at Customer emphasizes capacity-on-demand licensing benefits and although it is costly, users find the investment justified with positive ROI.

To learn more, read our detailed MongoDB Atlas vs. Oracle Exadata Cloud at Customer Report (Updated: November 2026).

Buyer's Guide

MongoDB Atlas vs. Oracle Exadata Cloud at Customer

November 2026

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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)

5th

Average Rating

8.4

Reviews Sentiment

6.9

Number of Reviews

Ranking in other categories

Managed NoSQL Databases (3rd), Database Management Systems (DBMS) (7th), AI Software Development (13th)

Oracle Exadata Cloud at Cus...

Ranking in Database as a Service (DBaaS)

16th

Average Rating

7.8

Reviews Sentiment

4.9

Number of Reviews

Ranking in other categories

No ranking in other categories

Mindshare comparison

As of November 2026, in the Database as a Service (DBaaS) category, the mindshare of MongoDB Atlas is 9.8%, down from 13.6% compared to the previous year. The mindshare of Oracle Exadata Cloud at Customer is 3.1%, down from 4.1% compared to the previous year. It is calculated based on PeerSpot user engagement data.

Database as a Service (DBaaS) Mindshare Distribution
Product	Mindshare (%)
MongoDB Atlas	9.8%
Oracle Exadata Cloud at Customer	3.1%
Other	87.1%

Database as a Service (DBaaS)

Featured Reviews

Nikhil Thapa

Software Developer

Cloud database has transformed client demos and supports flexible unstructured data workflows

The best feature I would say is that there is free storage, which any NoSQL database provides, such as MongoDB Atlas. Apart from that, there is a very good MongoDB Atlas UI where we can see the cluster, databases, and all these features. When we are using it, the transactions go for real-time processing. These are the features that it offers us, and the connection is very good to any framework we are using in the backend. MongoDB Atlas is our primary database, and we prefer this because of the reliability of MongoDB Atlas. The UI is very good for Atlas, and the non-structured database is advantageous because we do not have required schema restrictions. The cluster management and the database handling of Atlas are very good. By using the UI, we can manage this efficiently, and these are the features on MongoDB Atlas that give us what we need.

Read full review

WALID BOUHAJJA

Oracle DBS at Bpifrance

Positive experience with virtual cloud network creation and database migration highlights patching challenges

The best feature of Oracle Exadata Cloud at Customer is that it can be managed without needing only DBAs. We have many features, including the observability feature that helps check performance and generates numerous reports about performance. We have also implemented APIs, enabling us to create and perform many operations. This means we need DBAs who can work with APIs. We are autonomous in the patching process and don't need Oracle for patching. If you configure the process of patching, it will be executed automatically. We are using dynamic scaling which is implemented on an external virtual machine, helping us to downscale or upscale the CPU. Oracle Exadata Cloud at Customer has supported our organization's compliance and data sovereignty without problems. I have observed some limitations. For example, regarding encryption, though it is mandatory for Exadata Cloud at Customer, we cannot encrypt the database with external keys. Currently, with Exadata Cloud at Customer, using external keys is not possible.

Read full review

Quotes from Members

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

Pros

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

"You can start quickly on projects which allow you to store many things."

"Administering the solution is easy."

"In my previous company, the product allowed us to build a database in a highly regulated environment with the ability to get distributed storage, and we used MongoDB as a distributed storage to set up this environment for a critical business application with millions of dollars."

"Our databases used to be in-house. Now, they are in the cloud with MongoDB and everything is much easier."

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

"The product is user-friendly."

"I am impressed with the tool's integrations."

More MongoDB Atlas pros

"The operation model is the most valuable feature."

"We have migrated mission-critical databases to Exadata and gained significant performance in our OLTP and Batch jobs."

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

"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."

"The best feature of Oracle Exadata Cloud at Customer is that it can be managed without needing only DBAs, with observability features to check performance, generate reports, and implement APIs for creating and performing many operations."

Cons

"A few areas that we have noticed as being problematic with the MongoDB Atlas include user access to the platform. Currently, it is difficult to restrict and control what actions a user can perform within the solution, which poses a challenge from an internal auditing perspective."

"The biggest challenge we all have is an application layer level. One node is sitting in the APAC region, another node is sitting in the US and UK region. The seamless replication has to be lightning fast, but we haven't tested the scalability yet."

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

"The installation was straightforward except for the network hardware because it was a little complicated to make the connection with our VPC on AWS."

"MongoDB Atlas is effective for unstructured and semi-structured data, but when it comes to OLTP transactions, its performance declines."

"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."

"I would like a more comprehensive dashboard."

"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."

More MongoDB Atlas cons

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

"Today their support no longer lives up to my expectation."

"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."

"Scalability is not straightforward."

"The solution is expensive."

"Oracle Exadata Cloud at Customer is stable, but the only problem occurs during OS patching. If you encounter issues, the VMC (virtual machine cluster) becomes unusable."

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

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

Pricing and Cost Advice

"The price of MongoDB Atlas is highly expensive to use and maintain. They are taking advantage of the users with such a high price."

"The solution is fairly priced."

"The price of MongoDB Atlas is highly affordable."

"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."

"It is an open-source platform."

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

"The pricing and licensing is great."

"We pay for the license on a monthly basis. It's not cheap or expensive. For smaller companies, it's definitely expensive."

More MongoDB Atlas pricing and cost advice

"The price is too much."

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

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Top Industries

By visitors reading reviews

Manufacturing Company

15%

Financial Services Firm

12%

Construction Company

Comms Service Provider

Financial Services Firm

28%

Manufacturing Company

10%

Insurance Company

10%

Comms Service Provider

Company Size

By reviewers

Large Enterprise

Midsize Enterprise

Small Business

By reviewers
Company Size	Count
Small Business	24
Midsize Enterprise	12
Large Enterprise	23

By reviewers
Company Size	Count
Small Business	4
Large Enterprise	4

Questions from the Community

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

Pricing-wise, MongoDB Atlas has a pay-as-you-go strategy. The documentation for MongoDB is very good; I have learned multiple things through reading it. The free tier is M0 for $0, which is suitabl...

See all answers

What needs improvement with MongoDB Atlas?

MongoDB Atlas can be improved in a few ways. While the platform is feature-rich, some advanced configuration and performance tuning options have a learning curve, especially for teams that are new ...

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What is your primary use case for MongoDB Atlas?

My main use case for MongoDB Atlas is for storing and managing semi-structured or rapidly evolving data where schema flexibility is important. A good example of how I have used MongoDB Atlas for ma...

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What needs improvement with Oracle Exadata Cloud at Customer?

In future updates for Oracle Exadata Cloud at Customer, I would like to see another feature for the different costs for the non-CDB models, because if you are not using the non-CDB models, you have...

See all answers

What is your primary use case for Oracle Exadata Cloud at Customer?

The use cases for Oracle Exadata Cloud at Customer are based on our actual solution. We have the Exadata, but it has reached its end of life. The X5 has attained the end of life, so we discussed mi...

See all answers

What advice do you have for others considering Oracle Exadata Cloud at Customer?

My client is using Oracle Exadata Cloud at Customer, not AWS Cloud or Amazon. For impact assessment of automated routine tasks, we are using our internal solution for backup, which is based on Comm...

See all answers

Comparisons

Amazon RDS vs MongoDB Atlas

Compared 7% of the time

MongoDB Enterprise Advanced vs MongoDB Atlas

Compared 7% of the time

Microsoft Azure Cosmos DB vs MongoDB Atlas

Compared 6% of the time

Snowflake vs MongoDB Atlas

Compared 6% of the time

Redis vs MongoDB Atlas

Compared 5% of the time

More MongoDB Atlas Competitors

Amazon RDS vs Oracle Exadata Cloud at Customer

Compared 23% of the time

Oracle Database as a Service vs Oracle Exadata Cloud at Customer

Compared 14% of the time

Microsoft Azure SQL Database 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

Google Cloud Spanner vs Oracle Exadata Cloud at Customer

Compared 8% of the time

More Oracle Exadata Cloud at Customer Competitors

Product Reports

Buyer's Guide

MongoDB Atlas

October 2026

Download MongoDB Atlas product report

Buyer's Guide

Oracle Exadata Cloud at Customer

October 2026

Download Oracle Exadata Cloud at Customer product report

Also Known As

Atlas, MongoDB Atlas (pay-as-you-go)

No data available

Overview

MongoDB Atlas stands out with its schemaless architecture, scalability, and user-friendly design. It simplifies data management with automatic scaling and seamless integration, providing dynamic solutions for diverse industries.

MongoDB Atlas offers a cloud-based platform valued for its seamless integration capabilities and high-performance data visualization. It features advanced security options such as encryption and role-based access control alongside flexible data storage and efficient indexing. Users benefit from its robust API support and the ability to manage the platform without an extensive setup process. Feedback suggests improvements are needed in usability, query performance, security options, and third-party tool compatibility. While pricing and support services could be more economical, there is a demand for enhanced real-time monitoring and comprehensive dashboards, as well as advanced containerization and scalability options supporting complex database structures.

What are the key features of MongoDB Atlas?

Schemaless Architecture: Flexible data storage without predefined structure.
Automatic Scaling: Dynamically adjusts resources to meet demand.
Advanced Security: Encryption and role-based access control.
User-Friendly Interface: Simplified management and operation.
Robust API Support: Facilitates integration with applications.

What benefits should you consider in a solution like MongoDB Atlas?

Cost-Effective Management: Minimizes setup and operational costs.
Dynamic Data Management: Adapts to varying business demands.
Seamless Integration: Connects easily with other tools and frameworks.
High Performance: Optimized for real-time data processing and visualization.
Reliable Support: Accessible assistance and comprehensive documentation.

In healthcare and finance, MongoDB Atlas manages payment transactions and facilitates real-time analytics, powering SaaS solutions and storing large volumes of user data. It enhances scalability, performance, and security for cloud hosting, IoT integrations, and Node.js environments, widely favored for its flexibility and capability to support microservices.

MongoDB

Oracle Exadata Cloud at Customer optimizes backend performance and SQL query analysis. It offers scalable and observable infrastructure, ensuring reliable virtualization and licensing solutions tailored for on-premises management.

Oracle Exadata Cloud at Customer bridges the gap between cloud capabilities and on-premises control, providing enhanced performance, security, and cost efficiency for managing critical data. Users enjoy Oracle-managed virtualization and support services while maintaining data sovereignty and compliance. Despite needing improvements in scalability and documentation, it remains a preferred choice for large databases requiring robust infrastructure.

What are the key features of Oracle Exadata Cloud at Customer?

Enhanced Performance: Optimizes SQL query analysis and backend capabilities.
Scalability & Observability: Dynamic scaling with extensive management tools.
Autonomous Patching: Simplifies maintenance with automated updates.
Oracle-managed Virtualization: Offers trusted and secure virtualization solutions.
Fault Tolerance: Ensures reliable infrastructure with advanced engineering.

What benefits should users consider when evaluating Oracle Exadata Cloud at Customer?

Cost Efficiency: Effective resource management compared to alternatives.
On-premises Control: Enables high-level control over critical data.
Security & Compliance: Supports data sovereignty with compliance features.
Performance Reliability: Delivers consistent high performance.

Financial institutions utilize Oracle Exadata Cloud at Customer for migrating large databases while maintaining precise on-premises control. It provides a high-performance, secure solution compared to alternatives like AWS, enabling successful cross-platform migrations and efficient data management within data centers.

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

Buyer's Guide

MongoDB Atlas vs. Oracle Exadata Cloud at Customer

November 2026

Free Report: MongoDB Atlas vs. Oracle Exadata Cloud at Customer

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