Google Cloud Spanner vs MongoDB Atlas comparison

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1,498 views|1,154 comparisons
100% willing to recommend
MongoDB Logo
6,162 views|3,396 comparisons
97% willing to recommend
Comparison Buyer's Guide
Executive Summary

We performed a comparison between Google Cloud Spanner and MongoDB Atlas 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 Google Cloud Spanner vs. MongoDB Atlas Report (Updated: May 2024).
772,679 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
"Google Cloud Spanner is stable.""The most valuable feature of the solution is its scalability. Scalability comes with two options, among which Google Cloud Spanner can scale horizontally, compared to other relational databases that scale vertically.""We can scale the solution if we need to.""The application deployment in the cloud is the best feature of the infrastructure."

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"Being schemaless is what I like best about MongoDB Atlas.""The key feature of MongoDB Atlas that has been helpful for us is the ease of deploying new databases.""It's a good solution for NoSQL databases.""Scalability is its most valuable feature, as it is pretty simple.""It enables us to get work done quickly and get to our data.""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.""It's flexible. We don't need to have a solid upstream availability failover, and everything is seamless in Atlas.""This solution is very helpful due to its ease of use."

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Cons
"The tool needs to improve horizontal scaling.""The cost can be a bit high.""I want to improve the deployment of cameras and surveillance infrastructure.""Google came up with something called Cloud Spanner Emulator, which fails to work like the real product if I want to develop some code and run a database locally on my machine."

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"The UI application for MongoDB crashes a lot, so we would have to use a third-party plugin to make it work.""Going forward, we would like to have pure AWS Cloud (native) storage instead regular storage on the AWS integration side.""I would like to have better performance for user experience with the solution.""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.""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 cost needs improvement.""We had some bad trainers when we first came onboard and would rate them fairly low. They did not seem staffed properly to fulfill the training services that they offered."

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Pricing and Cost Advice
  • "It is expensive."
  • "Google Cloud Spanner is an expensive solution."
  • "The solution is expensive."
  • More Google Cloud Spanner 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 →

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    Questions from the Community
    Top Answer:Google Cloud Spanner has all the features of a traditional relational database, including schemas, SQL queries, ACID transactions, and provides excellent integration and monitoring tools as well as… more »
    Top Answer: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… more »
    Top Answer:The pricing is not that expensive, but it can be, especially when we have deployed it across multiple zones.
    Top Answer:The scalability aspect is quite difficult to implement. It should be much easier for the end user. You cannot use less than two nodes; you have to use at least two nodes, and they categorize their… more »
    Ranking
    8th
    Views
    1,498
    Comparisons
    1,154
    Reviews
    4
    Average Words per Review
    384
    Rating
    9.0
    3rd
    Views
    6,162
    Comparisons
    3,396
    Reviews
    28
    Average Words per Review
    476
    Rating
    8.4
    Comparisons
    Also Known As
    Google Spanner
    Atlas
    Learn More
    Overview

    Cloud Spanner is the first and only relational database service that is both strongly consistent and horizontally scalable. With Cloud Spanner you enjoy all the traditional benefits of a relational database: ACID transactions, relational schemas (and schema changes without downtime), SQL queries, high performance, and high availability. But unlike any other relational database service, Cloud Spanner scales horizontally, to hundreds or thousands of servers, so it can handle the highest of transactional workloads. With automatic scaling, synchronous data replication, and node redundancy, Cloud Spanner delivers up to 99.999% (five 9s) of availability for your mission critical applications. In fact, Google’s internal Spanner service has been handling millions of queries per second from many Google services for years.

    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.

    Sample Customers
    Streak, Optiva, Mixpanel
    Wells Fargo, Forbes, Ulta Beauty, Bosch, Sanoma, Current (a Digital Bank), ASAP Log, SBB, Zebra Technologies, Radial, Kovai, Eni, Accuhit, Cognigy, and Payload.
    Top Industries
    VISITORS READING REVIEWS
    Financial Services Firm19%
    Computer Software Company14%
    Retailer12%
    Manufacturing Company8%
    REVIEWERS
    Computer Software Company41%
    Comms Service Provider14%
    Financial Services Firm14%
    Healthcare Company9%
    VISITORS READING REVIEWS
    Computer Software Company16%
    Financial Services Firm15%
    Comms Service Provider7%
    Educational Organization6%
    Company Size
    VISITORS READING REVIEWS
    Small Business18%
    Midsize Enterprise10%
    Large Enterprise71%
    REVIEWERS
    Small Business43%
    Midsize Enterprise17%
    Large Enterprise39%
    VISITORS READING REVIEWS
    Small Business23%
    Midsize Enterprise14%
    Large Enterprise63%
    Buyer's Guide
    Google Cloud Spanner vs. MongoDB Atlas
    May 2024
    Find out what your peers are saying about Google Cloud Spanner vs. MongoDB Atlas and other solutions. Updated: May 2024.
    772,679 professionals have used our research since 2012.

    Google Cloud Spanner is ranked 8th in Database as a Service with 4 reviews while MongoDB Atlas is ranked 3rd in Database as a Service with 43 reviews. Google Cloud Spanner is rated 9.0, while MongoDB Atlas is rated 8.4. The top reviewer of Google Cloud Spanner writes "A stable and scalable relational database that ensures a return on investment for its users". On the other hand, the top reviewer of MongoDB Atlas writes "Allows our business to analyze social media data with machine learning and store the data in MongoDB". Google Cloud Spanner is most compared with Amazon RDS, Oracle Exadata Cloud at Customer, Oracle Database as a Service, Google Cloud SQL and Redis, whereas MongoDB Atlas is most compared with Amazon RDS, SQL Azure, Google Cloud SQL, Oracle Database as a Service and Oracle Exadata Cloud at Customer. See our Google Cloud Spanner vs. MongoDB Atlas 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.