MongoDB Atlas vs Oracle Exadata Cloud at Customer comparison

MongoDB and Oracle are both solutions in the Database as a Service (DBaaS) category. MongoDB is ranked #3 with an average rating of 8.4, while Oracle is ranked #10 with an average rating of 7.8. MongoDB holds a 14.5% mindshare in DS, compared to Oracle’s 4.1% 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 48 MongoDB Atlas reviews

3,963 Views
2,403 Comparison Views

96% willing to recommend

Oracle Exadata Cloud at Cus...

Read 6 Oracle Exadata Cloud at Customer reviews

976 Views
514 Comparison Views

100% willing to recommend

MongoDB Atlas

Oracle Exadata Cloud at Cus...

Comparison Buyer's Guide

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Executive SummaryUpdated on Aug 12, 2024

MongoDB Atlas and Oracle Exadata Cloud at Customer compete in the database service category. MongoDB Atlas has the upper hand in pricing and customer support, while Oracle Exadata stands out for its features and reliability.

Features: MongoDB Atlas offers high scalability, flexibility, and ease of use, particularly with JSON document storage. Oracle Exadata Cloud at Customer has robust performance, advanced analytics, and extensive integration capabilities.

Room for Improvement: MongoDB Atlas could enhance its backup and restore functionality and improve in regions where connectivity is poor. Oracle Exadata Cloud at Customer could simplify its setup and other processes.

Ease of Deployment and Customer Service: MongoDB Atlas is noted for its straightforward deployment process and comprehensive support services. Oracle Exadata Cloud at Customer, while offering strong support, is seen as more complex and requires more time for deployment.

Pricing and ROI: MongoDB Atlas offers better upfront pricing and quicker ROI. Oracle Exadata Cloud at Customer has higher setup costs but provides substantial long-term ROI through its extensive capabilities and performance optimization.

To learn more, read our detailed MongoDB Atlas vs. Oracle Exadata Cloud at Customer Report (Updated: April 2025).

Buyer's Guide

MongoDB Atlas vs. Oracle Exadata Cloud at Customer

April 2025

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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.

Read full review

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.

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

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

"The dynamic structures are the most valuable."

"MongoDB is a NoSQL tool."

"It's flexible. We don't need to have a solid upstream availability failover, and everything is seamless in Atlas."

"The features that I have found most valuable include the very easy integrations. The integrations are fantastic. I have not faced any challenges from the integration standpoint."

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

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

"The product provides quick transaction service, high availability, and efficient scalability features."

More MongoDB Atlas pros

"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."

"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 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

"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 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."

"Customer support needs improvement knowledge-wise."

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

"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 initial configuration fine-tuning for performance can be time-consuming."

"Searching and browsing through the collection must be made easier."

More MongoDB Atlas cons

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

"Scalability is not straightforward."

"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."

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

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

Pricing and Cost Advice

"For our service, it was around 300 to 600 euros per month, which was acceptable for our customers."

"The solution is expensive overall. It does not require a license but if you want the support then you will need to purchase the license. They use a pay-as-you-go model and you are able to receive some discounts by making longer usage commitments."

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

"The pricing and licensing is great."

"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."

"The pricing is acceptable for enterprise tier."

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

"Pricing could always be better."

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%

Computer Software Company

12%

Manufacturing Company

11%

Insurance Company

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...

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

The price of MongoDB Atlas is reasonable, which is why many organizations, including mine, are opting for it.

See all answers

What needs improvement with MongoDB Atlas?

See all answers

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.

See all answers

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.

See all answers

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.

See all answers

Comparisons

Amazon RDS vs MongoDB Atlas

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

Buyer's Guide

MongoDB Atlas

March 2025

Download MongoDB Atlas product report

Buyer's Guide

Oracle Exadata Cloud at Customer

March 2025

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

Buyer's Guide

MongoDB Atlas vs. Oracle Exadata Cloud at Customer

April 2025

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