--- title: MongoDB Atlas Reviews meta_title: 'MongoDB Atlas Reviews 2026: Details, Pricing, & Features | G2' meta_description: Filter 900 reviews by the users' company size, role or industry to find out how MongoDB Atlas works for a business like yours. aggregate_rating: rating_value: 4.5 review_count: 900 scale: '5' date_modified: '2026-08-07' parent_category: name: Database Software url: https://www.g2.com/categories/database-software --- # MongoDB Atlas Reviews **Vendor:** MongoDB **Category:** [Database as a Service (DBaaS) Providers](https://www.g2.com/categories/database-as-a-service-dbaas) **Average Rating:** 4.5/5.0 **Total Reviews:** 900 ## About MongoDB Atlas MongoDB Atlas is a developer data platform that provides a tightly integrated collection of data and application infrastructure building blocks to enable enterprises to quickly deploy bespoke architectures to address any application need. Atlas supports transactional, full-text search, vector search, time series and stream processing application use cases across mobile, distributed, event-driven, and serverless architectures. ## MongoDB Atlas Pros & Cons **What users like:** - Users appreciate the **intuitive UI** of MongoDB Atlas, making database management user-friendly and efficient. (8 reviews) - Users appreciate the **intuitive user interface** of MongoDB Atlas, simplifying database management and enhancing productivity. (7 reviews) - Users appreciate the **intuitive UI and ease of use** in MongoDB Atlas, enhancing their database management experience. (6 reviews) - Users appreciate the **scalability** of MongoDB Atlas, enabling efficient data management and rapid performance without extra infrastructure effort. (5 reviews) - Users appreciate the **reliability** of MongoDB Atlas, noting its consistent uptime and seamless database management experience. (4 reviews) - Intuitive (3 reviews) - Performance (3 reviews) - Users value the **performance efficiency** of MongoDB Atlas, enabling rapid feature deployment with minimal infrastructure management. (3 reviews) - Database Management (2 reviews) - Ease of Setup (2 reviews) **What users dislike:** - Users criticize the **expensive pricing** of MongoDB Atlas, feeling forced to pay for unnecessary resources and inadequate support. (3 reviews) - Users express frustration with MongoDB Atlas's **unclear pricing** , leading to unexpected costs and complicated billing structures. (3 reviews) - Users find MongoDB Atlas **expensive** , facing high costs for subpar performance and frustrating support challenges. (2 reviews) - Users express frustration over **high memory usage** , leading to performance issues and costly unexpected charges. (2 reviews) - Users experience significant **latency issues** when deleting data, negatively impacting performance and overall satisfaction with MongoDB Atlas. (2 reviews) - Users express frustration over **performance issues** , especially during data deletion, leading to inefficiencies and frustrations with support. (2 reviews) - Poor Customer Support (2 reviews) - Slow Performance (2 reviews) - UX Improvement (2 reviews) - Users express frustration with **billing issues** , citing high costs tied to storage and poor support experiences with MongoDB Atlas. (1 reviews) ## MongoDB Atlas Reviews ### 1. Overpriced, Poor performance and some of the worse support I have ever had to deal with **Rating:** 0.0/5.0 stars **Reviewed by:** Joe S. | Software Development Manager, Small-Business (50 or fewer emp.) **Reviewed Date:** December 15, 2024 **What do you like best about MongoDB Atlas?** I have nothing good to say about MongoDB Atlas. **What do you dislike about MongoDB Atlas?** My story with Mongo began when I started a new software position, and they had a legacy version of their software product using Atlas. Compared to our other infrastructure bills, Mongo was significantly higher for the amount of compute and storage we used ($3K per month). This is a managed service, so you would expect to pay a premium. Ok, sure, but then I expect great functionality, performance, and support. The main problem began with Mongo when we needed to delete some data because they tie the CPU and memory tiers to storage size, so we were overpaying. Our application would run fine off an M10 dedicated cluster (the smallest tier), but it had automatically scaled to an M50 because of storage. This is already a bit disappointing because they are forcing customers to pay for more compute and memory than they need. So we started deleting some data, but then we ran into problems. The data deletion process was really slow and also slowed our entire cluster down, causing lag and performance issues for our end users. But hang on, this makes no sense because we are paying for more CPU and RAM than we need, so why would we have this issue? It took us three months to delete 500GB of data. In the meantime, our bill remained the same because you can't claim the space back without compacting the database. Ok, fine. So we ran compact(), but we only freed ~100GB on the secondary clusters. Support gave us a script to run that can see how much storage can be freed. In the end, we had to activate an expensive additional support plan costing us $500 USD per month to get support to run a re-sync command. This should have taken their support people 10 minutes, but instead, they mucked us around going back and forth on the ticket, taking three weeks to resolve. A year later, we needed to delete some more data. We spent another five months deleting 800GB of data. Then we ran compact() and freed 300GB. Where is our other 500GB? We contacted some humans at Mongo, who really couldn't do much other than suggest we get funding to cover the $500 support for one month. Yes, we got the $500 credit, but when I went to reactivate support, it was going to charge us for three months for one month because Mongo retroactively bills you for three months when you reactivate. Wow, we started in a bad place, now I'm beyond frustrated; this is daylight robbery. To this day, I am still fighting to reclaim some storage, but at this point, I'm going to recommend to our CEO that our dev team put some effort into moving away completely from Mongo. I also need to mention that Mongo recommended we use their online archive features, but when we crunched the numbers, it was still quite expensive, and we would have to do significant work to make our application work between the regular clusters and online archive. So it was significantly more logical to just put the data in AWS S3, then delete it in Mongo. If I can summarize my experience with Mongo, and I acknowledge mine is probably quite different to most, here it is: Overpriced for the performance you get Sneaky billing model where they tie CPU and memory to storage Terrible and expensive support Sneaky extra charges on reactivating support Bad support escalation solutions - they couldn't just turn on free 'support' Poor database performance Slow delete operations Ecosystem lock-in Forced upgrades - no LTS releases Let me sum it up this way: if your compact() command does not free up the space that is available on your cluster, then provide the customer with free support to do so. I hate dealing with Mongo. Nothing is simple, everything is expensive, and the performance sucks. If you are considering using Mongo, find something else. Even if you have to take a bit more time to learn AWS Dynamo, S3, or Aurora, you should do it; you will save time and money in the long run. Mongo, you deserve this negative review. I have given you plenty of opportunities to resolve things and have escalated issues, but you just don't care. We wanted to move away from Mongo before; now I can't get rid of it fast enough. **What problems is MongoDB Atlas solving and how is that benefiting you?** A simple managed database to get up and moving quickly as a developer. ## MongoDB Atlas Discussions - [The instances where mongodb is not a good choice of primary db](https://www.g2.com/discussions/the-instances-where-mongodb-is-not-a-good-choice-of-primary-db) - 1 comment, 2 upvotes - [What is MongoDB used for?](https://www.g2.com/discussions/what-is-mongodb-used-for) - 3 comments, 1 upvote - [What can MongoDB be used for?](https://www.g2.com/discussions/what-can-mongodb-be-used-for) - 1 comment, 1 upvote - [can we axpect more feature available to students as developerss it would be verry helpful](https://www.g2.com/discussions/can-we-axpect-more-feature-available-to-students-as-developerss-it-would-be-verry-helpful) - 4 comments, 1 upvote - [What will be upcoming interesting features](https://www.g2.com/discussions/50468-what-will-be-upcoming-interesting-features) - 1 comment, 1 upvote - [View MongoDB Atlas pricing details and edition comparison](https://www.g2.com/products/mongodb-atlas/reviews?filters%5Bsentiment_snippet%5D=1155890&qs=pros-and-cons§ion=pricing&secure%5Bexpires_at%5D=2026-08-14+21%3A01%3A52+-0500&secure%5Bsession_id%5D=7f3ecfb2-31c9-4479-a200-2e2b9701258f&secure%5Btoken%5D=93101562db50a5c9c444acfd9b67108567e758d38eccb2aa1801a295d0d70158&format=llm_user) ## MongoDB Atlas Integrations - [Agno](https://www.g2.com/products/agno/reviews) - [Amazon EC2](https://www.g2.com/products/amazon-ec2/reviews) - [Auth0](https://www.g2.com/products/auth0/reviews) - [Boomi](https://www.g2.com/products/boomi/reviews) - [Cloudinary](https://www.g2.com/products/cloudinary/reviews) - [Cursor](https://www.g2.com/products/cursor/reviews) - [ETL tools](https://www.g2.com/products/etl-tools/reviews) - [Express.js](https://www.g2.com/products/express-js/reviews) - [Flask](https://www.g2.com/products/flask/reviews) - [Google BigQuery Data Transfer Service](https://www.g2.com/products/google-bigquery-data-transfer-service/reviews) - [Google Cloud Console](https://www.g2.com/products/google-cloud-console/reviews) - [Integrate.io](https://www.g2.com/products/integrate-io/reviews) - [MongoDB](https://www.g2.com/products/mongodb/reviews) - [Next.js](https://www.g2.com/products/next-js/reviews) - [Node.js](https://www.g2.com/products/node-js/reviews) - [NodeJS Web Stack](https://www.g2.com/products/nodejs-web-stack/reviews) - [Visual Studio](https://www.g2.com/products/visual-studio/reviews) ## MongoDB Atlas Features **Reports** - Reports Interface - Steps to Answer - Graphs and Charts - Score Cards - Dashboards - Customizable Reports - Marketing Reports - Sales Reports - Activity Dashboard - Interactive Reports - Customizable Reports - Customizable Reports - Activity Dashboard - Customizable Dashboard **Data Management** - Data Model - Data Types - Built - In Search - Event Triggers - Semantic Search **Reports** - Reports Interface - Share Reports - Steps to Answer **Generative AI** - AI Text Generation - AI Text Summarization - Generative AI **Configuration** - Application Performance - Orchestration - Database Monitoring - Anomaly Detection - Network Security **Availability** - Auto Sharding - Auto Recovery - Data Replication - Backup and Recovery - Real-Time Data **Visualization** - Graphs and Charts - Score Cards - Dashboards - Formats - Mobile Dashboards - Public Dashboards - Private Dashboards **Database Administration** - Provisioning - Governance - Auditing **Performance** - Query Optimization - Ad hoc Query **Data Updates** - Historical Snapshots - Real-Time Updating **Availability** - Scalability - Backup - Archiving - Indexing **Security** - Data Masking - Authentication And Single Sign-On - Data Anonymization **Security** - Role-Based Authorization - Authentication - Audit Logs - Encryption **Collaboration** - Sharing - Co-Editing - Devices **Self Service ** - Calculated Fields - Data Column Filtering - Data Discovery - Search - Collaboration / Workflow - Automodeling - Natural Language Search - Visual Discovery - Data Blending - Data Blending **Data Management** - Data Replication - Advanced Data Analytics **Support** - Multi-Model - Operating Systems - BI Connectors - Data Connectors **Additional Functionality** - Database Conversion - Monitoring - Activity Dashboard - Data Extraction - Reporting/Analytics - Automatic Backup - Real-Time Monitoring - Audit Management - Data Visualization - Ad hoc Reporting - Compliance Management - Indexing - Search/Filter - Alerts/Notifications - Data Verification - Performance Testing - Data Capture and Transfer - Security Auditing - Access Controls/Permissions - Role-Based Permissions - Data Mapping - Data Retrieval - AI Copilot - Third-Party Integrations - Generative AI - Configuration Management - Audit Trail - For NoSQL Databases - Data Import/Export - Data Migration - Data Synchronization - API - Serverless Accessibility - Multiple Data Sources **Advanced Analytics** - Predictive Analytics - Data Visualization - Big Data Services - Real-Time Analytics - Reporting/Analytics - Real-Time Analytics - Reporting/Analytics - Visual Analytics **Building Reports** - Data Transformation - Data Modeling - WYSIWYG Report Design - Integration APIs - Real-Time Data - Real-Time Data - Third-Party Integrations - Third-Party Integrations **Database Features** - Storage - Availability - Stability - Scalability - Security - Data Manipulation - Query Language **Platform** - Mobile User Support - Customization - User, Role, and Access Management - Internationalization - Sandbox / Test Environments - Performance and Reliability - Breadth of Partner Applications - Mobile Access - Metadata Management **Data Updates** - Historical Snapshots - Real-Time Updating - Scheduled/Automated Reports - Customizable Reports - Predictive Analytics - Data Management - Real-Time Data **Additional Functionality** - Customizable Branding - Natural Language Processing - Data Extraction - AI Copilot - Ad hoc Reporting - Real-Time Reporting - Publishing/Sharing - Collaboration Tools - Strategic Planning - Self Service Data Preparation - Trend Analysis - Text Analysis - Real-Time Monitoring - Data Synchronization - Widgets - Benchmarking - Performance Metrics - Data Mapping - Generative AI - Trend/Problem Indicators - Customizable Templates - Access Controls/Permissions - Data Import/Export - Profitability Analysis - OLAP - Alerts/Notifications - Search/Filter - Drag & Drop - Data Connectors - Multiple Data Sources - Key Performance Indicators - Dashboard Creation - Role-Based Permissions - Data Mining - Forecasting - Ad hoc Query **Additional Functionality** - KPI Monitoring - Secure Data Storage - Multiple Data Sources - Data Visualization - Single Sign On - Natural Language Search - Search/Filter - Alerts/Notifications - AI Copilot - Real-Time Notifications - Collaboration Tools - Widgets - Performance Metrics - Ad hoc Reporting - Activity Tracking - Reporting/Analytics - Customizable Branding - Data Aggregation - Dashboard Creation - Data Connectors - Customizable Templates - Data Synchronization - API - Forecasting - Interactive Elements - Single Page View - Data Import/Export - Drag & Drop - Access Controls/Permissions - Trend Analysis - Workflow Management - Third-Party Integrations - Functions/Calculations - Historical Reporting - Data Capture and Transfer - Visual Discovery - Real-Time Updates - Real-Time Reporting - Data Mapping - Relational Display - Visual Analytics - OLAP - Ad hoc Query - Reporting & Statistics ## Top MongoDB Atlas Alternatives - [Amazon DynamoDB](https://www.g2.com/products/amazon-web-services-aws-amazon-dynamodb/reviews) - 4.4/5.0 (498 reviews) - [Google Cloud Firestore](https://www.g2.com/products/google-cloud-firestore/reviews) - 4.2/5.0 (96 reviews) - [Azure Cosmos DB](https://www.g2.com/products/azure-cosmos-db/reviews) - 4.2/5.0 (59 reviews)