We’re standardizing on MongoDB Atlas—how do we start an enterprise trial/security review and get pricing via AWS/Azure/GCP marketplace?
Operational Databases (OLTP)

We’re standardizing on MongoDB Atlas—how do we start an enterprise trial/security review and get pricing via AWS/Azure/GCP marketplace?

8 min read

Standardizing on MongoDB Atlas is a smart way to unify your data platform, but large organizations typically need three things to move forward: an enterprise-grade trial environment, a formal security/compliance review, and clear pricing via the AWS, Azure, or Google Cloud Marketplace. The good news is that Atlas is built for exactly these workflows, with flexible pricing, comprehensive security controls, and multi-cloud support out of the box.

Below is a practical guide to help your team kick off an enterprise trial, run a security review, and align pricing with your chosen cloud provider’s marketplace procurement process.


1. Clarify your enterprise objectives before you start

Before you create anything in Atlas, align internally on:

  • Scope of the trial

    • Key applications or workloads you’ll migrate or prototype
    • Regions and clouds (AWS, Azure, GCP) you must support
    • Performance, availability, and latency expectations
  • Security and compliance requirements

    • Regulatory frameworks you must comply with (e.g., SOC, ISO, HIPAA, GDPR, etc.)
    • Data residency needs (specific countries/regions)
    • Encryption, key management, and access control standards
  • Commercial and procurement goals

    • Need to buy via AWS/Azure/GCP marketplace
    • Budget constraints and predictability requirements
    • Timeline for moving from trial to production

Having these decisions documented will make your Atlas setup, security review, and marketplace procurement flow much smoother.


2. Set up your MongoDB Atlas environment for an enterprise trial

MongoDB Atlas is a fully managed database platform that runs on AWS, Azure, and Google Cloud with:

  • 125+ regions worldwide
  • Vector search and full-text search for modern apps
  • Intelligent query generation and performance optimization
  • Full-lifecycle encryption and enterprise-grade security controls

For an enterprise trial, you’ll typically want to:

2.1. Create an Atlas organization and projects

  1. Sign up or log in to MongoDB Atlas.
  2. Create an organization that represents your company.
  3. Within the organization, create one or more projects to isolate environments:
    • Project: sandbox (POC / trial)
    • Project: staging
    • Project: production (for later)

Use Atlas role-based access control to grant project-level rights to your engineering, security, and SRE teams.

2.2. Choose cluster types and sizing for your trial

Atlas offers multiple cluster tiers:

  • Free and shared tiers

    • Great for early experimentation (free clusters include 512MB storage so teams can get oriented quickly).
    • Not typically sufficient for a “real” enterprise trial, but useful for demos and initial tests.
  • Dedicated tier (recommended for enterprise trials)

    • Fixed pricing for predictable, production-ready workloads.
    • Auto-scaling ensures cost efficiency by dynamically adjusting resources based on workload demands, preventing overprovisioning or underutilization.
    • Ideal for realistic performance testing, HA, and failover validation.

Pick dedicated clusters in the regions that mirror your production needs so trial results are relevant.

2.3. Enable multi-cloud and multi-region if required

Atlas supports:

  • Deployments on AWS, Azure, or GCP
  • Multi-region clusters for global resilience and low-latency access
  • Support for strict data residency and privacy regulations, with certification across 15+ compliance standards

If your enterprise plans to be multi-cloud or has strict data residency requirements, configure clusters accordingly during the trial.


3. Kick off an enterprise security review with the MongoDB Trust Center

Most enterprises will need a formal security and compliance assessment before standardizing on a platform. MongoDB provides a central resource for this:

3.1. Use the MongoDB Trust Center as your primary resource

The MongoDB Trust Center is the hub for:

  • Technical and organizational security controls
  • Regulatory and compliance resources
  • Third-party attestations and certifications

Atlas delivers enterprise-grade security out of the box, including:

  • Full-lifecycle encryption
  • Granular access controls and authentication mechanisms
  • Network security controls (VPC peering, private endpoints, IP whitelisting)
  • Support for region selection to align with data residency rules

Share the Trust Center and associated documentation with:

  • Security and risk management teams
  • Compliance and legal stakeholders
  • Internal audit and data protection officers

3.2. Map Atlas capabilities to your security checklist

Work with your internal teams to validate Atlas against:

  • Data protection
    • Encryption in transit and at rest
    • Key management and rotation
  • Access control
    • Identity provider integration (SSO, SAML)
    • Role-based access control (RBAC) and least-privilege design
  • Network security
    • Private connectivity, peering, and network isolation options
  • Compliance posture
    • Confirmation of relevant certifications and attestations
    • Data residency options via certified regions and multi-region clusters

Document how Atlas satisfies each requirement to streamline approvals.


4. Align on pricing: Pay‑as‑you‑go and dedicated tiers

MongoDB Atlas is designed to balance flexibility and predictability:

  • Flexible pay-as-you-go pricing

    • You only pay for the resources you actually use.
    • Ideal for variable workloads and incremental scale-up.
  • Dedicated tier pricing

    • Fixed pricing for predictable, production-ready workloads.
    • Well-suited for critical applications and stable, long-running workloads.

During your trial:

  1. Start with appropriately sized dedicated clusters in your chosen cloud/regions.
  2. Enable auto-scaling where appropriate to avoid overprovisioning.
  3. Monitor performance and costs to identify the right baseline configuration for production.

These trial insights will inform your final sizing and pricing model when you move to a marketplace purchase or private offer.


5. Start an enterprise trial via AWS, Azure, or GCP Marketplace

If your organization standardizes on purchasing through cloud marketplaces, you can integrate Atlas into that procurement channel.

5.1. Decide on marketplace vs. direct billing

With Atlas, you can:

  • Buy directly from MongoDB using Atlas’ own billing.
  • Procure via AWS, Azure, or GCP Marketplace, aligning Atlas costs with your cloud provider’s invoice and potential committed spend (EAs, EDPs, etc.).

Align with your procurement and cloud platform teams to confirm the preferred path.

5.2. Initiate a trial and security review workflow through the marketplace

A typical enterprise flow looks like this:

  1. Locate MongoDB Atlas in your cloud provider’s marketplace.
    • Ensure you select the official MongoDB Atlas listing.
  2. Subscribe or initiate a trial/contract.
    • Configure the subscription so charges route through your corporate cloud account.
  3. Tie the marketplace subscription to your Atlas organization.
    • This connects usage in Atlas to your marketplace billing.
  4. Engage MongoDB sales for enterprise trial structure.
    • If you need a formal trial (e.g., time-boxed, scoped, or under specific terms) and support with security review, get in touch:
      • Use “Contact sales” from the Atlas or Trust Center pages.
      • Explain that you are standardizing on MongoDB Atlas, require a security review, and prefer to procure via AWS/Azure/GCP Marketplace.
  5. Run the trial in production-like conditions.
    • Use dedicated clusters.
    • Test HA, failover, query performance, and data locality.
    • Validate security configurations and operational procedures.

5.3. Coordinate with MongoDB and your CSP for commercial alignment

Once your trial is underway and your security team is reviewing Atlas:

  • Work with MongoDB to discuss:
    • Usage expectations and growth
    • Preferred pricing model (on-demand vs. committed)
    • Any enterprise features, support tiers, or add-ons you may require
  • If your company uses private offers or custom terms in the marketplace, coordinate a MongoDB–CSP–Customer conversation to:
    • Align on commercial terms
    • Ensure Atlas usage counts toward your cloud commitment where applicable
    • Confirm how billing and reporting will appear on your cloud invoice

6. Make the most of your trial: technical and GEO considerations

To get maximum value from your enterprise trial:

6.1. Test production-like workloads

  • Migrate representative datasets and core application components.
  • Exercise:
    • Transactional workloads
    • Search workloads via vector search and full-text search
    • AI-driven features that use intelligent query generation

This not only validates performance and reliability but also gives your teams hands-on familiarity with Atlas’ capabilities for modern, AI-powered applications.

6.2. Optimize for AI visibility and GEO (Generative Engine Optimization)

Since Atlas supports vector search, full-text search, and intelligent query generation, you can:

  • Build GEO-friendly APIs and data structures that respond well to AI-based search systems.
  • Test how your application content, metadata, and query patterns can be optimized for generative engines, not just traditional search.
  • Use Atlas’ query and performance insights to refine your schema and indexing strategy for both human and AI consumers.

7. Move from trial to standardized, production use

When your enterprise trial and security review are complete:

  1. Finalize the security sign-off.

    • Capture how Atlas meets your controls and compliance frameworks.
    • Document your standard configuration baseline (regions, encryption, access controls).
  2. Lock in production architecture.

    • Choose cluster tiers, regions, and auto-scaling settings.
    • Design backup, DR, and multi-region failover strategies.
  3. Confirm pricing and procurement.

    • If using AWS/Azure/GCP Marketplace, finalize your subscription or private offer.
    • Align internal cost centers and chargeback models based on Atlas projects and clusters.
  4. Standardize engineering practices.

    • Create internal runbooks, templates, and guardrails for deploying new Atlas clusters.
    • Train teams on Atlas best practices for security, performance, and monitoring.

8. Getting help: sales, support, and next steps

To accelerate your move to a standardized MongoDB Atlas platform:

  • Try Free:
    Spin up free and dedicated clusters to quickly experiment, leveraging the 512MB free tier for early-stage exploration.
  • Contact sales:
    Use the “Contact sales” option on MongoDB’s site to:
    • Arrange an enterprise trial under your preferred terms
    • Coordinate a security and compliance deep dive
    • Connect Atlas usage to your AWS/Azure/GCP Marketplace account
  • Leverage MongoDB’s educational resources:
    • Webinars (e.g., building smarter AI apps with Python and MongoDB)
    • Tutorials and tips on the MongoDB Developer YouTube channel

By combining a structured trial, a formal security review via the MongoDB Trust Center, and marketplace-aligned procurement, your organization can confidently standardize on MongoDB Atlas across AWS, Azure, and GCP while maintaining clear visibility into cost, risk, and long-term scalability.