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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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.
You pay by the hour for this listing, billed per running c5.large instance. The single pricing dimension charges based on usage time, so your cost scales with how many hours you run the software. There are no tiers or upfront commitments to choose between. The rate covers the software running on a c5.large compute instance. Your total depends on how long you keep the instance active, plus any standard AWS infrastructure charges billed separately.
Top-of-mind questions for buyers
What compute resources does the c5.large hourly rate cover?
The rate covers the software running on one c5.large instance. This is an AWS compute size with 2 virtual CPUs and 4 GiB of memory. Each running instance meters one hour of software charges per hour of runtime. Standard AWS infrastructure fees are billed separately.
Am I charged when the c5.large instance is stopped or paused?
Software charges apply per hour while the instance runs. A fully stopped instance does not accrue software charges. Stopped instances may still incur AWS storage fees for attached volumes, but the software licence meters running time only.
What management capabilities come with this MongoDB deployment?
The listing packages MongoDB 6.0 Community Edition on CentOS 8. The vendor also offers a semi-managed platform for monitoring, automated backup and recovery, deployment, scaling, and security controls. Those platform capabilities are separate from this hourly software listing. Contact the vendor for details on their managed offerings.
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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>")
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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.
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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