MongoDB Atlas vs Oracle Exadata Cloud at Customer comparison

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MongoDB Logo
6,231 views|3,396 comparisons
97% willing to recommend
Oracle Logo
1,102 views|514 comparisons
100% willing to recommend
Comparison Buyer's Guide
Executive Summary

We performed a comparison between MongoDB Atlas and Oracle Exadata Cloud at Customer based on real PeerSpot user reviews.

Find out in this report how the two Database as a Service solutions compare in terms of features, pricing, service and support, easy of deployment, and ROI.
To learn more, read our detailed MongoDB Atlas vs. Oracle Exadata Cloud at Customer Report (Updated: March 2024).
768,578 professionals have used our research since 2012.
Featured Review
Quotes From Members
We asked business professionals to review the solutions they use.
Here are some excerpts of what they said:
Pros
"The auto-scaling feature is the most valuable aspect.""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.""The solution is easily scalable and manageable. Tools can be easily added to the solution.""Object-based data storing capability and managing non-structured data capability are the most valuable features of MongoDB Atlas.""MongoDB Atlas is a database that is quite fast, stable, and reliable.""This solution is very helpful due to its ease of use.""It has a flexible integration with our easy API.""MongoDB Atlas is a platform as a service and it has proven to be particularly valuable due to its self-managing nature. This has allowed us to minimize the amount of time and effort required to manage it, as it effectively manages itself. Additionally, it is a complete solution when looking at its features."

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"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.""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."

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Cons
"We need improved query performance.""The speed when combining two documents is concerning.""The initial configuration fine-tuning for performance can be time-consuming.""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.""If it could be cheaper, that would make us happy.""The installation was straightforward except for the network hardware because it was a little complicated to make the connection with our VPC on AWS.""Going forward, we would like to have pure AWS Cloud (native) storage instead regular storage on the AWS integration side.""One improvement that I would like to see is a feature to export changes made in the environment, such as creating a new user."

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"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.""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."

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Pricing and Cost Advice
  • "The pricing and licensing is great."
  • "The purchasing process through the AWS Marketplace was very good."
  • "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."
  • "It is too expensive. They need to work on this."
  • "The pricing is good. We originally chose it over DynamoDB because of the pricing."
  • "Pricing could always be better."
  • "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 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."
  • More MongoDB Atlas Pricing and Cost Advice →

  • "The machine and the cloud model itself already have licensing advantages."
  • "The price is too much."
  • More Oracle Exadata Cloud at Customer Pricing and Cost Advice →

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    Questions from the Community
    Top Answer:The most beneficial MongoDB features for our workload are the ability to scale up and down using automatic sharding and clustering.
    Top Answer:The real-time data visible within MongoDB Atlas is not accurate. If they can improve the UI that monitors real-time data. It's more impressive and more attractive. It could be more user-friendly.
    Top Answer: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.
    Top Answer:For the data migration, we used ZDM. It was not integrated with the databases, and the documentation lacks clarity. Additionally, there were restrictions on using it with the source databases… more »
    Ranking
    3rd
    Views
    6,231
    Comparisons
    3,396
    Reviews
    28
    Average Words per Review
    467
    Rating
    8.5
    9th
    Views
    1,102
    Comparisons
    514
    Reviews
    3
    Average Words per Review
    543
    Rating
    7.7
    Comparisons
    Also Known As
    Atlas
    Learn More
    Overview

    MongoDB Atlas is a developer data platform that provides a tightly integrated collection of data and application infrastructure building blocks to enable enterprises to quickly deploy bespoke architectures to address any application need. Atlas supports transactional, full-text search, vector search, time series and stream processing application use cases across mobile, distributed, event-driven, and serverless architectures.

    A key advantage of MongoDB Atlas is flexibility - it makes it easy to adjust storage and computing resources on the fly. This scalability ensures optimal performance even for workloads with fluctuating demands, without overprovisioning infrastructure. You only pay for what they use. Atlas also enables deploying globally distributed databases that improve data access speeds and provide built-in redundancy for high availability.

    On the security front, Atlas offers robust encryption, access controls, and complies with regulations like GDPR and HIPAA out-of-the-box. Its real-time analytics and full-text search empower businesses to quickly gain insights from data to drive better decisions. The document-oriented data model is versatile for handling varied data types - ideal for modern applications dealing with unstructured data.

    Additional Atlas capabilities include simplified deployment, built-in disaster recovery, reduced time-to-market and costs, increased agility and scalability. It can power web, mobile, IoT and other applications. With extensive documentation and an active community, getting started with Atlas is straightforward even for lean teams.

    Technical Perspectives:

    • MongoDB Atlas utilizes a document data model, which is intuitive and flexible, allowing faster evolution in response to changing business requirements. This model eliminates the need for expensive JOINs and ORM layers, improving performance and simplifying data handling​​.
    • Traditional relational databases often require complex schema designs and ORM layers, adding to the workload of developers and DBAs. MongoDB Atlas offers a more streamlined approach with its document model, reducing the complexity and improving agility​​.

    Peer Reviews and Practical Insights:

    • The solution is highly rated for its robustness, ease of deployment, and sustainability.
    • Technical support and pricing are areas highlighted for improvement.
    • Comparisons with other database solutions like Microsoft SQL Server suggest that MongoDB Atlas is cost-effective, especially considering enterprise-level offerings​​.
    • Local support and escalation processes are mentioned, indicating a robust support structure for troubleshooting​​.

    In conclusion, MongoDB Atlas presents a versatile and efficient cloud database solution, particularly favored for its managed services, scalability, and security. The platform's ability to adapt to various application requirements, coupled with its intuitive document model, positions it as a strong contender in the cloud database market.

    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.

    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
    Top Industries
    REVIEWERS
    Computer Software Company41%
    Comms Service Provider14%
    Financial Services Firm14%
    Healthcare Company9%
    VISITORS READING REVIEWS
    Computer Software Company16%
    Financial Services Firm14%
    Comms Service Provider7%
    Educational Organization6%
    VISITORS READING REVIEWS
    Financial Services Firm34%
    Manufacturing Company14%
    Computer Software Company10%
    Government5%
    Company Size
    REVIEWERS
    Small Business41%
    Midsize Enterprise18%
    Large Enterprise41%
    VISITORS READING REVIEWS
    Small Business23%
    Midsize Enterprise14%
    Large Enterprise63%
    VISITORS READING REVIEWS
    Small Business13%
    Midsize Enterprise12%
    Large Enterprise75%
    Buyer's Guide
    MongoDB Atlas vs. Oracle Exadata Cloud at Customer
    March 2024
    Find out what your peers are saying about MongoDB Atlas vs. Oracle Exadata Cloud at Customer and other solutions. Updated: March 2024.
    768,578 professionals have used our research since 2012.

    MongoDB Atlas is ranked 3rd in Database as a Service with 41 reviews while Oracle Exadata Cloud at Customer is ranked 9th in Database as a Service with 4 reviews. MongoDB Atlas is rated 8.4, while Oracle Exadata Cloud at Customer is rated 8.0. The top reviewer of MongoDB Atlas writes "Allows our business to analyze social media data with machine learning and store the data in MongoDB". On the other hand, the top reviewer of Oracle Exadata Cloud at Customer writes "Reduction in database creation time, provides good performance but challenges when interacting with the OCI console". MongoDB Atlas is most compared with Amazon RDS, SQL Azure, Google Cloud SQL, Oracle Database as a Service and Yugabyte Platform, whereas Oracle Exadata Cloud at Customer is most compared with Oracle Database as a Service, Amazon RDS, Google Cloud Spanner and Google Cloud SQL. See our MongoDB Atlas vs. Oracle Exadata Cloud at Customer report.

    See our list of best Database as a Service vendors.

    We monitor all Database as a Service reviews to prevent fraudulent reviews and keep review quality high. We do not post reviews by company employees or direct competitors. We validate each review for authenticity via cross-reference with LinkedIn, and personal follow-up with the reviewer when necessary.