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    MongoDB Atlas (pay-as-you-go)

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    Build intelligent and enterprise-ready applications with MongoDB and AWS. MongoDB Atlas combines operational data, metadata, and vector data in one platform and integrates with key AWS services to help you quickly build trustworthy gen AI experiences. Simplify your data management, drive innovation at scale, and deliver accurate user experiences backed by real-time enterprise data.
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    MongoDB Atlas (pay-as-you-go)

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    Overview

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    MongoDB developer data platform, available in 31 AWS regions, integrates all of the data services you need, including full vector database capabilities, to build modern, gen AI-powered applications that are accurate, secure, and scalable.

    Integrate transactional workloads, vectorized data, app-driven analytics, full-text search, stream data processing, and more in a fully managed platform, reducing data infrastructure sprawl and complexity. When you use MongoDB Atlas on AWS, you can focus on driving innovation and business value, instead of managing infrastructure.

    Try Atlas (Mongo as a Service) today with the free trial tier and get 512 MB of storage at no cost. Dedicated clusters start at just USD 0.08 per hour, and you can easily scale up or out to meet the demands of your application. Costs vary based on your specific cluster configurations, network usage, backup policies, and use of additional features. Get started today and see how MongoDB Atlas can help you build and scale your modern applications easily.

    We are leveraging AWS Standard Contract for MP (SCMP) as the EULA.

    Highlights

    • MongoDB Atlas is secure by default. It leverages built-in security features across your entire deployment. With compliance with regulations such as HIPAA, GDPR, ISO 27001, PCI DSS, and more, your data is protected with robust security measures.
    • Native vector search capabilities embedded in an operational database simplifies building sophisticated RAG implementations - For retrieval-augmented generation (RAG) - a pattern that works with Large Language Models (LLM) augmented with your own data to generate more accurate responses - MongoDB allows you to store, index, and query vector embeddings of your data without the need for a separate bolt-on vector database.
    • Revolutionize your mobile app development process with Atlas Device Sync. This fully managed, device-to-cloud synchronization solution empowers your team to build better mobile apps faster and easier.

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    Vendor Insights

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    Skip the manual risk assessment. Get verified and regularly updated security info on this product with Vendor Insights.
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    Buyer guide

    Gain valuable insights from real users who purchased this product, powered by PeerSpot.
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    Financing for AWS Marketplace purchases

    AWS Marketplace now accepts line of credit payments through the PNC Vendor Finance program. This program is available to select AWS customers in the US, excluding NV, NC, ND, TN, & VT.
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    Pricing

    Free trial

    Try this product free according to the free trial terms set by the vendor.

    MongoDB Atlas (pay-as-you-go)

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    Pricing is based on actual usage, with charges varying according to how much you consume. Subscriptions have no end date and may be canceled any time.

    Usage costs (1)

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    Dimension
    Cost/unit
    MongoDB Atlas Credits used
    $1.00

    Vendor refund policy

    This is a pay as you go service. You will be invoiced based on your usage.

    Custom pricing options

    Find a fit for enterprise or unique needs with a private offer.

    Legal

    Vendor terms and conditions

    Upon subscribing to this product, you must acknowledge and agree to the terms and conditions outlined in the vendor's End User License Agreement (EULA) .

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    Vendors are responsible for their product descriptions and other product content. AWS does not warrant that vendors' product descriptions or other product content are accurate, complete, reliable, current, or error-free.

    Usage information

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    Delivery details

    Software as a Service (SaaS)

    SaaS delivers cloud-based software applications directly to customers over the internet. You can access these applications through a subscription model. You will pay recurring monthly usage fees through your AWS bill, while AWS handles deployment and infrastructure management, ensuring scalability, reliability, and seamless integration with other AWS services.

    Support

    AWS infrastructure support

    AWS Support is a one-on-one, fast-response support channel that is staffed 24x7x365 with experienced and technical support engineers. The service helps customers of all sizes and technical abilities to successfully utilize the products and features provided by Amazon Web Services.

    Product comparison

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    Updated weekly

    Accolades

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    Top
    10
    In Generative AI, Application Development, Databases & Analytics Platforms
    Top
    10
    In Databases, Databases & Analytics Platforms, Generative AI
    Top
    10
    In Analytic Platforms, Databases & Analytics Platforms, Databases

    Customer reviews

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    AI generated sentiment from actual customer reviews on AWS and G2
    Reviews
    Functionality
    Ease of use
    Customer service
    Cost effectiveness
    Insufficient data
    Insufficient data
    Insufficient data
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    Positive reviews
    Mixed reviews
    Negative reviews

    Overview

     Info
    AI generated from product descriptions
    Secure Database
    Leverages built-in security features across the entire deployment to ensure compliance with regulations such as HIPAA, GDPR, ISO 27001, and PCI DSS, protecting data with robust security measures.
    Integrated Vector Search
    Provides native vector search capabilities embedded in the operational database, simplifying the implementation of retrieval-augmented generation (RAG) patterns that work with Large Language Models (LLM) and your own data to generate more accurate responses.
    Managed Device Synchronization
    Offers a fully managed, device-to-cloud synchronization solution called Atlas Device Sync, which empowers teams to build better mobile apps faster and easier.
    Multi-model Capabilities
    Build modern apps with search, JSON, TimeSeries, Bloom filters, and Graph, and more.
    Scalability and Performance
    Deploy multiple Redis instances on a single cluster node, ensuring operations at scale with up to 99.999% uptime SLA.
    Disaster Resilience
    Protect against data loss with Active-Active geo-replication.
    Cost-effective Architecture
    Save on infrastructure costs and lower total cost of ownership with Auto Tiering and efficient design.
    Vector Database
    Redis Cloud's seamless integration with Amazon Bedrock empowers Generative AI development. Redis Cloud improves GenAI response accuracy and delivers low-latency, high-throughput capabilities. Redis is also a versatile vector database for semantic caching.
    Flexible Data Model
    Supports SQL for JSON documents, relational structures, key-value access, vector and full-text search
    Real-time Analytics
    Zero ETL for real-time analytics
    Offline Capabilities
    Apps work even offline, with support for vector search and peer-to-peer sync
    Automated Data Sync
    Easily automates data sync and user authentication for mobile/IoT use cases
    Advanced Security
    Advanced RBAC, encryption for data in flight and on disk

    Security credentials

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    Validated by AWS Marketplace
    FedRAMP
    GDPR
    HIPAA
    ISO/IEC 27001
    PCI DSS
    SOC 2 Type 2
    No security profile
    -
    -

    Contract

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    Standard contract
    No
    No

    Customer reviews

    Ratings and reviews

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    4.2
    32 ratings
    5 star
    4 star
    3 star
    2 star
    1 star
    38%
    53%
    3%
    0%
    6%
    32 AWS reviews
    |
    481 external reviews
    External reviews are sourced from G2  and are not included in the star rating for this product.
    Mon

    Amazing DB

    Reviewed on Feb 05, 2025
    Purchase verified by AWS

    I recently had the opportunity to work with MongoDB Atlas on AWS, and I must say, the experience has been nothing short of impressive. Bringing together the power of MongoDB's flexible, scalable NoSQL database with the robust infrastructure and services of AWS creates a seamless, high-performance environment for managing data-intensive applications.
    Performance optimization is another key advantage. With features like auto-scaling, performance monitoring, and workload isolation, MongoDB Atlas on AWS eliminates much of the operational overhead, allowing developers to focus on building applications rather than managing infrastructure. Additionally, the automated backups and failover mechanisms provide peace of mind, ensuring that critical data is always protected.

    Dominic

    Amazing product!

    Reviewed on Nov 27, 2024
    Purchase verified by AWS

    I recently got a chance to to work with MongoDB Atlas on AWS.

    It's a great option to bring these two power houses together and leverage the best of both of them.

    I cannot recommend this product more!

    NIKKI .

    Scalable and Highly Flexible NoSQL Database

    Reviewed on Nov 26, 2024
    Review provided by G2
    What do you like best about the product?
    My favorite feature in this database is the flexibility of its use as well as the possibility to scale it. Because this model stores data in JSON-like formats, it is possible to handle unstructured and semi-structured data without having to prescribe very specific data models. This flexibility is especially good for application where the structure of the data being stored can change as time passes. Being able to scale a database horizontally through the use of sharding is one of MongoDB’s best features since it helps in loading big data and is efficient when dealing with traffic loads. Also, its complex query language; the power offered by the aggregation framework and indexing and data retrieval make the process very efficient and diverse. Moreover, features such as the MongoDB Atlas make cloud deployment and management easy and more enjoyable. MongoDB has gained many supporters of the community and had a great documentation, which makes it fit for today’s developments.
    What do you dislike about the product?
    Probably one of the biggest negatives of the MongoDB is its steep learning curve for those that have no prior experience with NoSQL systems or have recently migrated from SQL. On the positive side, it is also very flexible, allowing developers to easily create badly thought out schemas, which when the application starts getting a lot of use can slow down the performance immensely. Also, handling shard and replication in self-serving environment quite challenging and may need good understanding of structure. A third anotated limitation is the ACID properties of transactions while MongoDB has added support for these recently and to a far lesser extent than traditional relational database systems, it may not be suitable where high consistency is critical. Finally and as for the offering of MongoDB Atlas, which is a cloud managed service of MongoDB, there is a high likelihood of accumulating high costs particularly for those that are intending to develop jumbo scale applications for their start-ups or small business enterprises.
    What problems is the product solving and how is that benefiting you?
    It is solving several problems that are inherent in managing huge amount of unstructured or semi structured data. It’s for businesses who are struggling to scale and create flexibility, as well as develop rapidly. Organizations can operate massive datasets and high traffic applications, while performance stays consistent despite the increasing volume of data, thanks to its ability to scale horizontally, or sharding. For businesses with unpredictable or changing data structure, like e-commerce, IoT, social media, this feature is particularly useful.

    The biggest benefit for me about MongoDB has to do with being able to modify the data model on the fly without a rigid schema, which helps speed up development due to the iterations necessary. This flexibility allows prototypes of new features to be easier or to simply pivot when business requirements change. Also, MongoDB’s powerful querying and aggregating functionalities make analyzing large dataset very efficient and help in making data driven decision. Also, MongoDB cloud service, MongoDB Atlas, removes my burden of infrastructure management so I can development application and less of database management. From an overall perspective, MongoDB provides for rapid development, scalability, and efficiency that are necessary to compete in the fast changing world.
    Bianca

    Powerful and Scalable Database Solution with MongoDB Atlas

    Reviewed on Nov 13, 2024
    Purchase verified by AWS

    As a developer, I’ve had the opportunity to work with various database solutions, and MongoDB Atlas stands out as one of the best managed database services available today. Here are my thoughts on why I highly recommend MongoDB Atlas, especially for users in the AWS ecosystem:

    - Ease of Use and Quick Setup: Setting up MongoDB Atlas was a breeze. The integration with AWS was seamless, allowing me to deploy clusters in just a few clicks. The user-friendly web interface is intuitive, making it easy to manage databases without a steep learning curve.
    - Scalability and Performance: One of the most impressive features of MongoDB Atlas is its ability to scale effortlessly. Whether you’re dealing with moderate traffic or a sudden spike in user requests, Atlas can automatically adjust resources to ensure optimal performance. The built-in auto-scaling feature is a game-changer for applications that experience fluctuating workloads.
    - Global Distribution and High Availability: With MongoDB Atlas, I can deploy clusters across multiple regions, ensuring low-latency access for users around the globe. The built-in replication and failover mechanisms provide high availability, which is critical for mission-critical applications.
    - Cost-Effective: For a managed service, MongoDB Atlas offers competitive pricing. The pay-as-you-go model allows us to only pay for what we use, making it suitable for startups and large enterprises alike.

    madhura

    Audio embedding resources

    Reviewed on Nov 13, 2024
    Purchase verified by AWS

    I’d like to suggest adding more resources on using audio embeddings with MongoDB's vector search. Additional guidance on best practices and examples would greatly benefit those looking to work with audio data in MongoDB.

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