Sold by: MongoDB, Inc
Deployed on AWS
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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.
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.
Details
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Deployed on AWS
Features and programs
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ISO27001
HIPAA
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Buyer guide
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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.
Pricing
Free trial
Try this product free according to the free trial terms set by the vendor. Usage-based pricing is in effect for usage beyond the free trial terms. Your free trial gets automatically converted to a paid subscription when the trial ends, but may be canceled any time before that.
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.
Additional AWS infrastructure costs may apply. Use the AWS Pricing Calculator to estimate your infrastructure costs.
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.
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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.
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Support
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[email protected] Support Policy: https://www.mongodb.com/support-policy https://www.mongodb.com/docs/atlas/reference/amazon-aws/ https://www.mongodb.com/docs/atlas/billing/aws-self-serve-marketplace/ https://www.mongodb.com/legal/privacy
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.
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By MongoDB, Inc
Top
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In Application Development, Databases & Analytics Platforms, Generative AI
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In Databases, Databases & Analytics Platforms
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AI generated sentiment from actual customer reviews on AWS and G2
Functionality
Ease of use
Customer service
Cost effectiveness
Positive reviews
Mixed reviews
Negative reviews
AI generated from product descriptions
Vector Database Capabilities
Native vector search capabilities embedded in an operational database, supporting storage, indexing, and querying of vector embeddings for generative AI applications
Security Compliance
Built-in security features with compliance across multiple regulatory standards including HIPAA, GDPR, ISO 27001, and PCI DSS
Multi-Region Deployment
Available across 31 AWS regions with fully managed data services integration
Data Platform Integration
Combines operational data, metadata, and vector data in a single platform supporting transactional workloads, app-driven analytics, full-text search, and stream data processing
Mobile Synchronization
Fully managed device-to-cloud synchronization solution enabling seamless mobile application development and data management
Multi-Model Database
Supports multiple data models including search, JSON, TimeSeries, Bloom filters, and Graph capabilities
Vector Database Technology
Enables semantic caching and vector management with in-memory data structure and real-time vector operations
Geo-Distributed Architecture
Provides Active-Active geo-replication with up to 99.999% uptime SLA and high availability across global infrastructure
Caching Mechanism
Utilizes advanced in-memory data store technology for offloading database reads and accelerating application performance
Scalability Framework
Supports deployment of multiple Redis instances on a single cluster node with flexible hybrid and multi-cloud implementations
Database Architecture
Multi-purpose database supporting key-value, JSON documents, SQL query, vectors, and full-text search capabilities
Scalability Model
Dynamic scaling with ability to scale out, in, up, and down across individual database services
Data Synchronization
Fully managed data synchronization for mobile and IoT use cases with edge device support
Security Framework
Advanced role-based access control (RBAC) with encryption for data in transit and at rest
Analytics Processing
Native JSON-based analytics with zero ETL transformation and real-time processing architecture
Validated by AWS Marketplace
FedRAMP
GDPR
HIPAA
ISO/IEC 27001
PCI DSS
SOC 2 Type 2
No security profile
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Standard contract
No
No
Customer reviews
Fenil S.
Secure and Familiar Database
Reviewed on May 06, 2025
Review provided by G2
What do you like best about the product?
MongoDB excels with its flexible document model, which allows for dynamic schema design—making it perfect for fast-paced development cycles and agile teams. Its JSON-like BSON storage format aligns well with modern JavaScript-based stacks like MERN, ensuring smooth data handling from front end to backend. The built-in horizontal scaling, support for geospatial queries, and full-text search are game-changers in terms of versatility.
What do you dislike about the product?
While MongoDB is powerful, it does have some drawbacks. It can consume significantly more storage than traditional relational databases due to its denormalized document structure. For applications with complex relationships, performance tuning requires careful indexing and schema design.
What problems is the product solving and how is that benefiting you?
MongoDB helps us handle flexible and fast-changing data without worrying about strict schemas. It’s great for building apps quickly, especially when data structures vary. We’ve saved time and avoided complex migrations, and with MongoDB Atlas, scaling and managing the database is super simple.
Leave a comment0 comments
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.
GOURAV R.
A very good and friendly experience i had with the MongoDB till now.
Reviewed on Feb 04, 2025
Review provided by G2
What do you like best about the product?
Fast data fetching and easy to use and implementaion.
What do you dislike about the product?
Some time we face connective issue with the database. Without any appropriate reason
What problems is the product solving and how is that benefiting you?
Fast data serfing over the internet and easy to manage it even the GUI is really usefull.
Trung N.
MongoDB review
Reviewed on Jan 31, 2025
Review provided by G2
What do you like best about the product?
MongoDB's flexibility and scalability are standout features. Its document-oriented model (using BSON) allows for dynamic, schema-less data structures, making it super versatile for evolving applications. This is especially helpful when dealing with unstructured or semi-structured data.
I also appreciate its horizontal scaling capabilities through sharding, which makes it suitable for handling large datasets and high-throughput applications. Features like indexing, aggregation pipelines, and replica sets for high availability are excellent for both performance and reliability.
For developers, tools like MongoDB Atlas (its cloud platform) simplify deployment and monitoring, saving tons of time.
I also appreciate its horizontal scaling capabilities through sharding, which makes it suitable for handling large datasets and high-throughput applications. Features like indexing, aggregation pipelines, and replica sets for high availability are excellent for both performance and reliability.
For developers, tools like MongoDB Atlas (its cloud platform) simplify deployment and monitoring, saving tons of time.
What do you dislike about the product?
write amplification and potential performance issues under high write loads if not tuned properly. Its flexibility can also be a double-edged sword; having no enforced schema can lead to messy data structures if developers aren't disciplined.
What problems is the product solving and how is that benefiting you?
storing and querying time series data
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!