Sold by: Galaxys CloudÂ
Deployed on AWS
AWS Free Tier
MongoDB Enterprise Edition 7.0.26 pre-configured and production-ready. Instant deployment with built-in security, monitoring, and automated backups. Fully operational environment in under 2 minutes, zero manual setup required. Enterprise-grade solution ideal for development, testing, and production deployments. This product wherein additional charges apply for support provided by Galaxys.
Overview
MongoDB Enterprise Server 7.0.26 - Production Ready
Deploy a fully optimized, enterprise-grade MongoDB environment in under 2 minutes with our pre-configured AWS solution. This professionally engineered image eliminates complex setup processes and delivers a secure, high-performance database instance ready for immediate use.
Key Features:
- Latest MongoDB Enterprise Edition 7.0.26 with all premium features
- Pre-configured security settings including authentication, authorization, and encryption
- Automated backup systems with point-in-time recovery capabilities
- Comprehensive monitoring stack with performance metrics and alerting
- Optimized storage engine configuration for production workloads
- Network security groups and VPC isolation pre-configured
- Regular security patches and maintenance updates included
Enterprise Capabilities:
- Advanced replication and sharding ready configurations
- In-memory storage engine support for real-time analytics
- MongoDB Atlas integration capabilities for hybrid deployments
- Query optimization and index management tools
- Advanced auditing and compliance features
- Role-based access control with fine-grained permissions
- TLS/SSL encryption for data in transit and at rest
Operational Benefits:
- Reduce deployment time from hours to seconds
- Eliminate configuration errors and security gaps
- Scale resources on-demand with AWS infrastructure
- Built-in disaster recovery and high availability options
- Professional documentation and operational guides
- 24/7 monitoring and health check capabilities
Perfect For:
- Enterprise development teams needing instant database environments
- Production workloads requiring enterprise-grade MongoDB features
- DevOps teams implementing CI/CD pipelines with database dependencies
- Businesses migrating from community edition to enterprise features
- Projects requiring HIPAA, GDPR, or SOC2 compliant database solutions
Technical Specifications:
- MongoDB Enterprise Server 7.0.26
- Ubuntu 22.04 LTS base image
- Automated initialization and configuration scripts
- CloudWatch integration for monitoring
- EBS-optimized storage configuration
- Multi-AZ deployment capabilities
- Automated patch management
Launch your enterprise MongoDB instance today and focus on building applications rather than managing infrastructure. All enterprise features unlocked and ready for production workloads from the moment your instance becomes active.
Highlights
- Enterprise-Grade Security & Compliance: Pre-configured with advanced security settings, encryption, and compliance features for HIPAA, GDPR, and SOC2 ready environments.
- Instant Production Deployment: Go from zero to fully operational MongoDB 7.0.26 in under 2 minutes with automated configuration and optimization.
- Built-in Monitoring & Backup: Includes comprehensive monitoring, alerting, and automated backup systems with point-in-time recovery capabilities.
Details
Sold by
Delivery method
Delivery option
64-bit (x86) Amazon Machine Image (AMI)
Latest version
Operating system
Ubuntu 22.04 LTS
Deployed on AWS
Unlock automation with AI agent solutions
Fast-track AI initiatives with agents, tools, and solutions from AWS Partners.
Features and programs
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
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. Alternatively, you can pay upfront for a contract, which typically covers your anticipated usage for the contract duration. Any usage beyond contract will incur additional usage-based costs.
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.
Dimension | Cost/hour |
|---|---|
t2.2xlarge Recommended | $1.60 |
t3.micro | $0.10 |
x1e.2xlarge | $1.60 |
m8i.xlarge | $0.10 |
r8i-flex.16xlarge | $3.20 |
r5b.12xlarge | $2.40 |
p4d.24xlarge | $6.40 |
m6idn.4xlarge | $1.60 |
i3.4xlarge | $1.60 |
x2iezn.4xlarge | $1.60 |
Vendor refund policy
For this offering, Galaxys Cloud does not offer refund, you may cancel at anytime.
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)Â .
Content disclaimer
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.
Delivery details
64-bit (x86) Amazon Machine Image (AMI)
Amazon Machine Image (AMI)
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
7.0.26 Galaxys-v2025
Additional details
Usage instructions
Initial Connection and Setup
- Launch the instance from AWS Marketplace and wait for full initialization (2-3 minutes)
- Connect via SSH using the provided key pair: ssh -i your-key.pem ubuntu@instance-ip
- MongoDB Enterprise 7.0.26 is automatically started and running as a service
Database Access and Port Configuration
- Connect locally via MongoDB shell: mongosh --port 27017
- Port 27017 is the primary MongoDB listening port for all database operations
- Remote connections use: mongodb://your-instance-ip:27017
- Default authentication is enabled - credentials in /etc/mongodb/auth.txt
- Configure security groups to allow trusted sources to connect to port 27017
Operational Management
- Start/stop MongoDB: sudo systemctl start or stop or restart mongod
- Check service status: sudo systemctl status mongod
- View logs: sudo journalctl -u mongod -f
- Monitor performance using pre-configured CloudWatch metrics
Security and Maintenance
- Change default passwords immediately after first login
- Automated backups configured to S3 with point-in-time recovery
- Security updates applied automatically via unattended-upgrades
- Regular health checks and performance optimization
Application Integration Use this connection string in your applications: mongodb://username:password@your-instance-ip:27017/database-name?authSource=admin
For production deployments, restrict port 27017 access to trusted applications only and consider using VPC peering or VPN tunnels for enhanced network security. Monitor database performance through CloudWatch dashboards.
Support
Vendor support
For this offering, Galaxys Cloud does not offer refund, you may cancel at anytime.
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.
Similar products
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.
Trusted by global brands, MongoDB Atlas on AWS is a deeply integrated data platform that powers scaled, enterprise level AI applications across various industries.
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.
Up-to-date and secure image. MongoDB(R) is a relational open source NoSQL database. Easy to use, it stores data in JSON-like documents. Automated scalability and high-performance. Ideal for developing cloud native applications.
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.
Customer reviews
No customer reviews yet
Be the first to review this product . We've partnered with PeerSpot to gather customer feedback. You can share your experience by writing or recording a review, or scheduling a call with a PeerSpot analyst.