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 15.0% mindshare in DS, compared to Oracle’s 4.2% mindshare. Additionally, 98% of MongoDB users are willing to recommend the solution, compared to 100% of Oracle users who would recommend it.

MongoDB Atlas

Read 47 MongoDB Atlas reviews

4,368 Views
2,606 Comparison Views

98% willing to recommend

Oracle Exadata Cloud at Cus...

Read 6 Oracle Exadata Cloud at Customer reviews

961 Views
517 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: January 2025).

Buyer's Guide

MongoDB Atlas vs. Oracle Exadata Cloud at Customer

January 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

7.5

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 February 2025, in the Database as a Service (DBaaS) category, the mindshare of MongoDB Atlas is 15.0%, up from 14.0% compared to the previous year. The mindshare of Oracle Exadata Cloud at Customer is 4.2%, up from 2.1% 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 solution is easily scalable and manageable. Tools can be easily added to the solution."

"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 features, including built-in backup, all under the same roof, without the need for external tools."

"The initial setup is straightforward."

"The key feature of MongoDB Atlas that has been helpful for us is the ease of deploying new databases."

"What I found most valuable in MongoDB Atlas is its Elasticsearch feature. It also has high availability, so it's stable."

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

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

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

More MongoDB Atlas pros

"Performance has significantly improved."

"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."

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

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

Cons

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

"We had some edge cases where scalability was an issue where a node went offline, and we had to deal with that."

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

"The UI application for MongoDB crashes a lot, so we would have to use a third-party plugin to make it work."

"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 speed when combining two documents is concerning."

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

"Going forward, we would like to have pure AWS Cloud (native) storage instead regular storage on the AWS integration side."

More MongoDB Atlas cons

"Scalability is not straightforward."

"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."

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

"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."

Pricing and Cost Advice

"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."

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

"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 price of MongoDB Atlas is highly affordable."

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

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

"The pricing is acceptable for enterprise tier."

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

18%

Financial Services Firm

15%

Healthcare Company

Comms Service Provider

Financial Services Firm

37%

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...

See all answers

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...

See all answers

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.

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 50% of the time

Microsoft Azure SQL Database vs MongoDB Atlas

Compared 15% of the time

Google Cloud SQL vs MongoDB Atlas

Compared 15% of the time

MongoDB vs MongoDB Atlas

Compared 5% 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 51% of the time

Amazon RDS vs Oracle Exadata Cloud at Customer

Compared 24% of the time

Google Cloud Spanner vs Oracle Exadata Cloud at Customer

Compared 9% of the time

Google Cloud SQL 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

February 2025

Download MongoDB Atlas product report

Buyer's Guide

Oracle Exadata Cloud at Customer

February 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

January 2025

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