This is a repackaged open source software product wherein additional charges apply for support and maintenance. MongoDB is a popular open source, document-oriented NoSQL database known for its flexibility, scalability and high performance. One of the core features of the database is its document-oriented storage model, which uses BSON format (binary JSON) to organize data, and each document is a dynamic collection of key-value pairs.
This is a repackaged open source software product wherein additional charges apply for support and maintenance.
MongoDB provides developers with a powerful and reliable data storage solution in the database field with its advanced features, flexible data model and active community support.
Its unique feature is that MongoDB does not require a predefined table structure, but uses a dynamic schema (Schema-less), allowing developers to more flexibly adjust the data model to adapt to changing business needs. This provides ideal support for rapid development, iteration, and adaptable applications.
Powerful query language and index support are key to MongoDB's popularity. Whether it is range query, regular expression or text search, MongoDB provides rich query operations. By creating indexes, MongoDB is able to maintain excellent performance when processing large-scale data.
With excellent performance, ease of use and adaptability to application scenarios of all sizes, MongoDB has been widely used in web applications, big data analysis, Internet of Things and other fields. As a powerful and flexible database solution, MongoDB plays an important role in modern application development.
Document-oriented storage: MongoDB uses BSON format to store data. The data is organized in the form of documents, similar to JSON objects, making the data representation more intuitive.
Schema-less design: MongoDB supports dynamically adding fields without predefining table structures, adapts to changing data requirements, and supports flexible data models.
Index support: MongoDB supports multiple types of indexes, including single-field indexes, compound indexes, etc., to improve query performance. The creation of indexes is critical for efficient retrieval of large-scale data
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 is based on a fixed subscription cost and actual usage of the product. You pay the same amount each billing period for access, plus an additional amount according to how much you consume. The fixed subscription cost is prorated, so you're only charged for the number of days you've been subscribed. 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.
If you are an AWS Free Tier customer with a free plan, you are eligible to subscribe to this offer. You can use free credits to cover the cost of eligible AWS infrastructure. See AWS Free Tier for more details. If you created an AWS account before July 15th, 2025, and qualify for the Legacy AWS Free Tier, Amazon EC2 charges for Micro instances are free for up to 750 hours per month. See Legacy AWS Free Tier for more details.
You pay by the hour for this MongoDB Community Edition software running on a CentOS 9 image, supported by whaleal. Pricing is usage-based, so charges accrue only while an instance runs. Each dimension maps to a specific AWS EC2 instance type, from small burstable sizes like t3.micro up to large memory, compute, storage, and GPU-optimized machines and bare-metal options. Your hourly rate depends on which instance type you launch. Larger instances with more CPU, memory, or specialized hardware carry higher hourly rates. You choose the instance type that fits your workload and scale by changing types.
Top-of-mind questions for buyers
What do I get for the hourly rate on a given instance type?
You get the MongoDB 8.0 Community Edition software running on a CentOS 9 image, supported by whaleal. The hourly rate covers the software licence and support for that instance type. AWS charges for the underlying EC2 compute, storage, and network separately from this software fee.
Am I charged the hourly software fee when my instance is stopped?
The software fee meters running time only. When you stop an instance, the hourly software charge stops accruing. You may still pay AWS for attached storage on a stopped instance, but the whaleal software licence charges only while the instance runs.
What is included with the software, and what support comes from whaleal?
You run MongoDB 8.0 Community Edition on CentOS 9, supported by whaleal. Their platform adds monitoring, automated backup and recovery, deployment, scaling, and security controls. Note this is a semi-managed approach: you keep control of your setup while support handles tasks like backups, updates, and monitoring.
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An AMI is a virtual image that provides the information required to launch an instance. Amazon EC2 (Elastic Compute Cloud) instances are virtual servers on which you can run your applications and workloads, offering varying combinations of CPU, memory, storage, and networking resources. You can launch as many instances from as many different AMIs as you need.
View MongoDB status
sudo -i
sudo systemctl status mongodb
View User Password
cat /data/mongodb_root_password.txt
start using MongoDB
mongosh
user admin
db.auth('''root","<password>")
Support
Vendor support
7 x 24 hours to provide service
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.
MongoDB’s team of expert consultants offer best-in-class services to future-proof businesses through the world's leading database for modern applications. Engagements encompass all stages of the digital transformation journey: from migrating to the cloud, offering training for teams, to optimising existing MongoDB deployments.
MongoDB Atlas on AWS enables organizations to build intelligent, AI-powered applications that scale effortlessly. As a fully managed NoSQL database and vector search platform, Atlas unifies operational data and search in a single system, helping teams move from prototype to production with enterprise-grade security, high availability, and seamless AWS integrations.
Try MongoDB Atlas (Mongo as a Service) today with the free trial tier and get 512 MB of storage at no cost.
This product has charges associated with it for seller support. Discover MongoDB 7 on Amazon Linux 2023, expertly configured as an AMI for rapid deployment in the EC2 cloud. Benefit from a fully managed, scalable NoSQL database solution that offers enhanced performance, security, and ease of use. Seamlessly integrate with existing applications and leverage advanced features such as document validation and improved indexing. Ideal for developing modern applications, big data processing, and real-time analytics, this solution empowers developers to innovate faster while minimizing operational overhead. With built-in support for sharding and replication, MongoDB 7 ensures high availability and fault tolerance, making it an excellent choice for mission-critical workloads. Take advantage of flexible pricing models and set your applications up for success in the cloud.
Build sophisticated, enterprise-ready, intelligent applications with MongoDB Atlas and AWS. Combine the robust infrastructure of AWS with MongoDB Atlas; a developer data platform to ensure flexibility, scalability, and security. Simplify your data management, drive innovation at scale, and deliver exceptional user experiences.
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