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    Overview
    ProductRatingMost Used ByProduct SummaryStarting Price

    Google Cloud Bigtable

    Score9.7 out of 10
    N/AGoogle's Cloud Bigtable is a fully managed, scalable NoSQL database service for large analytical and operational workloads with up to 99.999% availability.

    $0.03

    per month

    MongoDB Atlas

    Score7.8 out of 10
    N/AMongoDB Atlas is the company's automated managed cloud service, supplying automated deployment, provisioning and patching, and other features supporting database monitoring and optimization.

    $57

    per month

    Pricing
    Google Cloud BigtableMongoDB Atlas
    Editions & Modules
    Backup Storage
    $0.026
    per month per GB
    HDD storage
    $0.026
    per month per GB
    SSD storage
    $0.17
    per month per GB
    Nodes
    $0.65/hour
    per month per node (minimum 1 nodes)
    Dedicated Clusters
    $57
    per month
    Dedicated Multi-Reigon Clusters
    $95
    per month
    Shared Clusters
    Free
    Offerings
    Pricing Offerings
    Google Cloud BigtableMongoDB Atlas
    Free Trial
    NoNo
    Free/Freemium Version
    NoYes
    Premium Consulting/Integration Services
    NoNo
    Entry-level Setup FeeNo setup feeNo setup fee
    Additional Details——
    More Pricing Information
    Community Pulse
    Google Cloud BigtableMongoDB Atlas
    Considered Both Products
    Google
    No answer on this topic
    MongoDB
    No answer on this topic
    Key User Insights
    Would buy again
    No answers on this topic
    100%
    Would buy again
    5 Answers
    Delivers good value for the price
    No answers on this topic
    100%
    Delivers good value for the price
    5 Answers
    Happy with the feature set
    No answers on this topic
    100%
    Happy with the feature set
    5 Answers
    Lived up to sales and marketing promises
    No answers on this topic
    100%
    Lived up to sales and marketing promises
    5 Answers
    Implementation went as expected
    No answers on this topic
    100%
    Implementation went as expected
    5 Answers
    Features
    Google Cloud BigtableMongoDB Atlas
    Database-as-a-Service
    Comparison of Database-as-a-Service features of Google Cloud Bigtable and MongoDB Atlas
    Feature
    Google Cloud Bigtable
    -
    Ratings
    MongoDB Atlas
    8.9
    6 Ratings
    5% above category average
    Automatic software patching00 Ratings9.16 Ratings
    Database scalability00 Ratings9.96 Ratings
    Automated backups00 Ratings9.96 Ratings
    Database security provisions00 Ratings9.16 Ratings
    Monitoring and metrics00 Ratings6.56 Ratings
    Automatic host deployment00 Ratings9.05 Ratings
    Best Alternatives
    Google Cloud BigtableMongoDB Atlas
    Small Businesses
    No answers on this topic
    Google BigQuery
    Score8.8 out of 10
    Medium-sized Companies
    HBase
    Score7.3 out of 10
    Azure Database
    Score8.8 out of 10
    Enterprises
    Cassandra
    Score9 out of 10
    Google Cloud SQL
    Score8.7 out of 10
    All AlternativesView all alternativesView all alternatives
    User Ratings
    Google Cloud BigtableMongoDB Atlas
    Likelihood to Recommend
    10.0
    (2 ratings)
    8.3
    (6 ratings)
    Usability
    9.0
    (2 ratings)
    8.0
    (1 ratings)
    Support Rating
    9.0
    (1 ratings)
    10.0
    (2 ratings)
    User Testimonials
    Google Cloud BigtableMongoDB Atlas
    Likelihood to Recommend
    Google
    It works great for any use case that requires high throughput for reads and writes, for key-value kinda data. This enables you to use it for usecases where you need to retain data for a long term or even short term but then use it in pipelines to enrich data, sync states between backend and frontend or to quickly lookup say a user.
    Incentivized
    Read full review
    MongoDB
    It is good if you: 1. Have unstructured data that you need to save (since it is NoSQL DB) 2. You don't have time or knowledge to setup the MongoDB Atlas, the managed service is the way to go (Atlas) 3. If you need a multi regional DB across the world
    Incentivized
    Read full review
    Pros
    Google
    • Analytics: is at Google's heart. No on can beat Google in this space and BigTable is one of its implementation of this. The insights you gain from BigTable are simply usable in your day to day activities and can help you make real difference.
    • Speed: Processing TBs and PBs of data under minutes needs real efficient platform which is capable of doing much more than just processing data. All this data cannot be processed by a single machine, but rather huge pairs of machines working in conjuction with each other. BigTable's implementation is one of the finest and allows you achieve great speeds!
    • Interface: is great. Google has segregated required task under logically placed buttons which takes no time by users to understand and get habituated.
    Incentivized
    Read full review
    MongoDB
    • Generous free and trial plan for evaluation or test purposes.
    • New versions of MongoDB are able to be deployed with Atlas as soon as they're released—deploying recent versions to other services can be difficult or risky.
    • As the key supporters of the open source MongoDB project, the service runs in a highly optimized and performant manner, making it much easier than having to do the work internally.
    Incentivized
    Read full review
    Cons
    Google
    • Global replication
    • Complete SQL support
    • Size limit of 1MB
    Incentivized
    Read full review
    MongoDB
    • For someone new, it could be challenging using MongoDB Atlas. Some official video tutorials could help a lot
    • Pricing calculation is sometimes misleading and unpredictable, maybe better variables could be used to provide better insights about the cost
    • Since it is a managed service, we have limited control over the instances and some issues we faced we couldn't;'t know about without reaching out to the support and got fixed from their end. So more control over the instance might help
    • The way of managing users and access is somehow confusing. Maybe it could be placed somewhere easy to access
    Incentivized
    Read full review
    Usability
    Google
    For big IT firms like us, data is very important and it only holds its value if it can make sense to us. Therefore, Bigtable's usability is priceless when it comes to decision making based on data.
    Incentivized
    Read full review
    MongoDB
    I would give it 8. Good stuff: 1. Easy to use in terms of creating cluster, integrating with Databases, setting up backups and high availability instance, using the monitors they provide to check cluster status, managing users at company level, configure multiple replicas and cross region databases. Things hard to use: 1. roles and permissions at DB level. 2. Calculate expected costs
    Incentivized
    Read full review
    Support Rating
    Google
    Google provides premium support services for BigTable which is absolutely blazing fast similar to Bigtable's performance.
    Incentivized
    Read full review
    MongoDB
    We love MongoDB support and have great relationship with them. When we decided to go with MongoDB Atlas, they sent a team of 5 to our company to discuss the process of setting up a Mongo cluster and walked us through. when we have questions, we create a ticket and they will respond very quickly
    Incentivized
    Read full review
    Alternatives Considered
    Google
    As a hosted solution, that can be managed easily from the Google cloud platform, it enables the teams to think about business use cases vs thinking about the management of the database itself. It is easily to scale it up when you need more throughput or storage. This keeps the developers and the product folks happy.
    Incentivized
    Read full review
    MongoDB
    MongoDB is a great product but on premise deployments can be slow. So we turned to Atlas. We also looked at Redis Labs and we use Redis as our side cache for app servers. But we love using MongoDB Atlas for cloud deployments, especially for prototyping because we can get started immediately. And the cost is low and easy to justify.
    Incentivized
    Read full review
    Return on Investment
    Google
    • Building new features that can leverage storage on the edge
    • Realtime decision making
    • Data enrichment
    Incentivized
    Read full review
    MongoDB
    • Positive - Faster provisioning so we don't have development teams waiting.
    • Positive - Automated backups and server management - eliminates need for dedicated DBAs.
    Incentivized
    Read full review
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