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    MongoDB Atlas Enterprise

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    Deployed on AWS
    Vendor Insights
    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.

    Overview

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    MongoDB developer data platform is available in 31+ AWS regions. It integrates all of the data services you need to build modern applications that are highly available, performant at a global scale, and compliant with the most demanding security and privacy standards within a unified developer experience. It handles transactional workloads, app-driven analytics, full-text search, AI-enhanced experiences, stream data processing, and more, all while reducing data infrastructure sprawl and complexity. When you use MongoDB Atlas on AWS, you can focus on driving innovation and business value, instead of managing infrastructure.

    Try Atlas (Mongo as a Service) today with the free trial tier and get 512 MB of storage at no cost. Dedicated clusters start at just USD 0.08 per hour, and you can easily scale up or out to meet your application's demands. Costs vary based on your specific cluster configurations, network usage, backup policies, and use of additional features. Get started today and see how MongoDB Atlas can help you build and scale your modern applications easily.

    MongoDB Atlas Enterprise is available at US$ 1.00 per Atlas credit. Costs vary according to cluster configurations, network usage, backup policies, and use of additional features. Please note additional charge applies for Atlas Enterprise subscription. It is charged at the monthly minimum of $1,500 or 70% of Atlas Credits consumed, whichever is higher.

    Highlights

    • MongoDB Atlas is secure by default. It leverages built-in security features across your entire deployment. With compliance with regulations such as HIPAA, GDPR, ISO 27001, PCI DSS, and more, your data is protected with robust security measures.
    • Native vector search capabilities embedded in an operational database simplifies building sophisticated RAG implementations - For retrieval-augmented generation (RAG) - a pattern that works with Large Language Models (LLM) augmented with your own data to generate more accurate responses - MongoDB allows you to store, index, and query vector embeddings of your data without the need for a separate bolt-on vector database.
    • Revolutionize your mobile app development process with Atlas Device Sync. This fully managed, device-to-cloud synchronization solution empowers your team to build better mobile apps faster and easier.

    Details

    Delivery method

    Deployed on AWS
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    Pricing

    MongoDB Atlas Enterprise

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    Pricing is based on the duration and terms of your contract with the vendor, and additional usage. You pay upfront or in installments according to your contract terms with the vendor. This entitles you to a specified quantity of use for the contract duration. Usage-based pricing is in effect for overages or additional usage not covered in the contract. These charges are applied on top of the contract price. If you choose not to renew or replace your contract before the contract end date, access to your entitlements will expire.
    Additional AWS infrastructure costs may apply. Use the AWS Pricing Calculator  to estimate your infrastructure costs.

    12-month contract (1)

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    Dimension
    Cost/12 months
    Overage cost
    MongoDB Atlas Enterprise
    $0.00

    Vendor refund policy

    This is a pay as you go service. You will be invoiced based on your usage.

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    Delivery details

    Software as a Service (SaaS)

    SaaS delivers cloud-based software applications directly to customers over the internet. You can access these applications through a subscription model. You will pay recurring monthly usage fees through your AWS bill, while AWS handles deployment and infrastructure management, ensuring scalability, reliability, and seamless integration with other AWS services.

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    Accolades

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    Top
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    In Data Warehouses
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    10
    In Data Analysis, Databases & Analytics Platforms, Databases
    Top
    10
    In Analytic Platforms, Databases & Analytics Platforms, Databases

    Customer reviews

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    Overview

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    AI generated from product descriptions
    Multi-Region Deployment
    Available across 31+ AWS regions for global application deployment and high availability
    Native Vector Search
    Embedded vector search capabilities for storing, indexing, and querying vector embeddings without requiring a separate vector database
    Device Synchronization
    Fully managed device-to-cloud synchronization solution for mobile application data consistency
    Compliance and Security Standards
    Built-in security features with compliance certifications including HIPAA, GDPR, ISO 27001, and PCI DSS
    Multi-Workload Support
    Handles transactional workloads, app-driven analytics, full-text search, stream data processing, and AI-enhanced experiences within a unified platform
    Multi-Model Data Support
    Supports key-value, JSON documents, SQL queries, vectors, and full-text search capabilities within a single database platform
    Real-Time Analytics Engine
    Provides zero ETL JSON-native analytics with extremely high throughput and low latency architecture
    Geo-Aware Clustering
    Enables data reliability and distribution across geo-aware clusters for enterprise-grade availability
    Advanced Security Controls
    Implements advanced role-based access control (RBAC) with encryption for data in flight and at rest
    Mobile Data Synchronization
    Supports fully managed data sync to edge devices with offline functionality and peer-to-peer synchronization capabilities
    Distributed SQL Database Architecture
    Fully managed, distributed SQL database with lock-free cloud-native architecture designed for transactional (OLTP) and analytical (OLAP) workloads
    High-Throughput Data Ingestion
    Parallel, distributed lock-free ingestion capable of processing millions of events per second using Pipelines
    Vector Search Capabilities
    Indexed vector search with full-text search capabilities for generative AI applications with elastic scale-out architecture
    Real-Time Query Processing
    Low-latency SQL query execution on billions of rows of data with support for tens or hundreds of thousands of concurrent users
    Unified Workload Engine
    Single engine supporting transactional (OLTP), analytical (OLAP), and vector (GenAI) workloads without requiring data movement between systems

    Security credentials

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    Validated by AWS Marketplace
    FedRAMP
    GDPR
    HIPAA
    ISO/IEC 27001
    PCI DSS
    SOC 2 Type 2
    -
    -
    -
    No security profile

    Contract

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    Standard contract
    No
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    No

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