MongoDB Atlas vs Oracle Database as a Service comparison

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MongoDB Logo
6,231 views|3,396 comparisons
97% willing to recommend
Oracle Logo
2,870 views|2,360 comparisons
96% willing to recommend
Comparison Buyer's Guide
Executive Summary

We performed a comparison between MongoDB Atlas and Oracle Database as a Service 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 Database as a Service Report (Updated: March 2024).
768,857 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
"What I found most valuable in MongoDB Atlas is its Elasticsearch feature. It also has high availability, so it's stable.""MongoDB Atlas is very easy to use and user-friendly, and you get what you're paying for.""It's a good solution for NoSQL databases.""Administering the solution is easy.""The most valuable feature is the schemaless architecture.""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.""Object-based data storing capability and managing non-structured data capability are the most valuable features of MongoDB Atlas.""The most beneficial MongoDB features for our workload are the ability to scale up and down using automatic sharding and clustering."

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"When we want more information on something that we are using, it is easy to find related topics on the internet.""What I found most valuable about Oracle Database as a Service is its fast transactions and materialized views.""It's a scalable product.""You can be up and running the same day.""The scalability and high availability are the most valuable features of Oracle DaaS.""The most valuable features of Oracle Database as a Service are the power, security, and performance.""I like the tool’s database services. I like the system’s performance, replication, active data, etc. which are all good.""I like the solution's performance and ease of development."

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Cons
"It would be great if it were easier to integrate MongoDB Atlas with AWS services. Technical support for MongoDB Atlas could be better.""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.""The installation was straightforward except for the network hardware because it was a little complicated to make the connection with our VPC on AWS.""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.""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 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 better dashboard. It could be made a bit more user friendly.""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."

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"The solution’s pricing could be improved.""The ROI has not been good.""It is very hard to support Oracle Database.""One of the things that I have noticed is that there are some services that will give you a hard time during implementation if you are looking at the documentation of Oracle. Sometimes the documentation information is quite limited. It's an aspect of the solution they could improve.""I have had a hard time finding some documentation. There should provide easier accessible documentation for Oracle Database as a Service.""It doesn't have an in-built database load balancer.""Oracle DBaaS could be compatible with more platforms.""In the next release, I would like to see a framework for memory management."

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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 licensing is a nightmare. Tons of options which need to be licensed individually, and no real offering for VMware or other Hypervisors."
  • "There should be a standard way to license the database in a virtual environment (e.g. VMware) and there should be a low-end version (like Standard Edition One) again."
  • "The price depends on the solution you choose: standard, enterprise, or high performance. For example, enterprise can start between 0.4 an hour up to 1,800. Additional fees also depends on what package you choose. Your feels will be different if you choose the standard, enterprise, high performance, or extreme package. You will pay in relation to what option you ask for. The price is very good if you compare it to other databases."
  • "The pricing may seem expensive, but the value corresponds to the quality of the product."
  • "The pricing is a little bit expensive."
  • "The price of Oracle Database as a Service could be better."
  • "I do not know firsthand about the price of Oracle Database as a Service, but it is known that Oracle solutions tend to be priced higher than competitors."
  • "For on-premises, a perpetual license is a standard $17,500 plus 22% for one year of support."
  • More Oracle Database as a Service 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:It has significantly enhanced our application development process by introducing substantial time savings and streamlining routine tasks.
    Top Answer:It is an expensive product. I rate the pricing an eight out of ten.
    Top Answer:Improvement in Oracle DBaaS could focus on enhancing performance monitoring and reporting tools. A more streamlined utility tool would be beneficial, reducing the need for manual intervention in… more »
    Ranking
    3rd
    Views
    6,231
    Comparisons
    3,396
    Reviews
    28
    Average Words per Review
    467
    Rating
    8.5
    5th
    Views
    2,870
    Comparisons
    2,360
    Reviews
    45
    Average Words per Review
    330
    Rating
    8.6
    Comparisons
    Also Known As
    Atlas
    Oracle DBaaS, Oracle Database Cloud
    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 Database Cloud Service combines the power of Oracle Database, with the unique capabilities of the Oracle Cloud. The service provides a secure, automated data management platform that leverages on demand Oracle Cloud Infrastructure services via a simple web based user interface and RESTful API. Oracle Database Cloud Service provides elastic database services for development, test, and production environments of custom and packaged online transaction processing (OLTP), data warehousing, and mixed workload applications. It enables businesses to reap all Oracle Platform as a Service (PaaS) benefits including subscriptionbased, self-service access to reliable, scalable, and elastic cloud environments and accelerates time to value by simplifying the provisioning and administration of Oracle databases.

    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.
    Solution-Soft, DX Marketing, Suredell and Partners, Frontiers, SettleOurEstate.com, Demand Analysis Ltd, endlich IT & Projekt Service OHG
    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%
    REVIEWERS
    Computer Software Company26%
    Government12%
    Comms Service Provider12%
    Financial Services Firm12%
    VISITORS READING REVIEWS
    Financial Services Firm21%
    Computer Software Company14%
    Government7%
    Manufacturing Company7%
    Company Size
    REVIEWERS
    Small Business41%
    Midsize Enterprise18%
    Large Enterprise41%
    VISITORS READING REVIEWS
    Small Business23%
    Midsize Enterprise14%
    Large Enterprise63%
    REVIEWERS
    Small Business31%
    Midsize Enterprise25%
    Large Enterprise45%
    VISITORS READING REVIEWS
    Small Business16%
    Midsize Enterprise12%
    Large Enterprise72%
    Buyer's Guide
    MongoDB Atlas vs. Oracle Database as a Service
    March 2024
    Find out what your peers are saying about MongoDB Atlas vs. Oracle Database as a Service and other solutions. Updated: March 2024.
    768,857 professionals have used our research since 2012.

    MongoDB Atlas is ranked 3rd in Database as a Service with 41 reviews while Oracle Database as a Service is ranked 5th in Database as a Service with 63 reviews. MongoDB Atlas is rated 8.4, while Oracle Database as a Service is rated 8.6. 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 Database as a Service writes "Quite stable and renewable with an easy setup". MongoDB Atlas is most compared with Amazon RDS, SQL Azure, Google Cloud SQL, Google Cloud Spanner and Oracle Exadata Cloud at Customer, whereas Oracle Database as a Service is most compared with Amazon RDS, SQL Azure, Oracle Exadata Cloud at Customer, Google Cloud SQL and Google Cloud Spanner. See our MongoDB Atlas vs. Oracle Database as a Service 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.