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
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This product is available free of charge. Free 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.
This listing is free software, so you pay no charge for the product itself. Pricing varies only by the EC2 instance you choose to run it on. Each dimension maps to one AWS instance type, billed hourly. Your cost scales with the instance's size and family. Smaller shared instances cost less per hour, while larger memory-, compute-, or GPU-focused instances cost more. You pick the instance that fits your workload and pay only for the hours you run it. All dimensions deliver the same MongoDB 6.0 Community Edition on CentOS9.
Top-of-mind questions for buyers
What exactly does the hourly software charge cover for each instance type?
The software charge covers MongoDB 6.0 Community Edition running on CentOS9, supported by whaleal. The listing itself is free, so each dimension's rate reflects the EC2 instance you run it on. You select an instance type, and billing meters each hour that instance runs.
Am I charged when my instance is stopped or powered off?
The software charge meters running instance-hours only. When you stop or power off an instance, the hourly software rate stops accruing. Underlying AWS storage or other resources may still bill separately through AWS. You pay only for the hours each instance actually runs.
What happens to my cost if I add nodes or scale the MongoDB cluster?
Each running instance bills at its own hourly rate. Adding nodes means each new instance accrues charges for the hours it runs. Scaling down by stopping instances reduces your cost. The platform supports automated deployment and scaling, so cluster size can adjust to your workload needs.
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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.
Version release notes
6.0.28
Additional details
Usage instructions
The default username is "ec2-user". Connect to the running instance via SSH as user "ec2-user":
Replace EC2-IP with the public IP address of your EC2 instance.
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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.
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 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 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 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.
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