1. [Home](https://www.g2.com/) 2. ... 3. [Agentic AI Software](https://www.g2.com/categories/agentic-ai) 4. [AI Agent Builders Software](https://www.g2.com/categories/ai-agent-builders) 5. [MongoDB Atlas](https://www.g2.com/products/mongodb-atlas/reviews) 6. [MongoDB Atlas Claims vs Evidence](https://www.g2.com/products/mongodb-atlas/claims-vs-evidence) # MongoDB Atlas Claims vs Evidence This page compares marketing claims that MongoDB Atlas makes on its own website with what real G2 users say in their reviews. Each claim's source link points to the page where it appeared. Claims are rated as follows: Supported when a clear majority of the reviewers who address it back it up, Disputed when a clear majority contradict it, and Mixed when reviewers are divided. Reviews that don't mention a claim are not counted. Last updated Sep 30, 2026 ## Claim: “The power of MongoDB Atlas allows Factory to scale seamlessly, processing billions of tokens daily and supporting hundreds of thousands of developers without system breakdowns or performance bottlenecks.” Mixed support from reviews. Reviewers are split, with many reporting smooth horizontal scaling and no performance drops while others describe performance degradation as data grows or occasional server failures. The reviews do not establish the specific scale of billions of tokens daily or hundreds of thousands of developers. - “The horizontal scaling through sharding lets me easily handle growing data volumes without performance drops” [Read Full Review](https://www.g2.com/products/mongodb-atlas/reviews/mongodb-atlas-review-12533016) - “the performance can just fall off if you don't stay on top of your indexes.” [Read Full Review](https://www.g2.com/products/mongodb-atlas/reviews/mongodb-atlas-review-11751729) - “The query part is quite tricky, and sometimes the Mongo server doesn’t work.” [Read Full Review](https://www.g2.com/products/mongodb-atlas/reviews/mongodb-atlas-review-12969480) Source: [https://www.mongodb.com/solutions/customer-case-studies/factory](https://www.mongodb.com/solutions/customer-case-studies/factory) ## Claim: “With 36% higher throughput, easier horizontal scaling, and expanded queryable encryption, MongoDB is faster and more secure than ever.” Supported by reviews. Relevant reviewers generally describe fast performance and easy horizontal scaling, though some report performance slowdowns when indexing is not optimized. The reviews support the general direction of the claim but do not establish the specific 36% throughput increase or directly verify expanded queryable encryption. - “MongoDB delivers sub-100ms real-time data retrieval speeds, making it incredibly fast for querying and analyzing large datasets.” [Read Full Review](https://www.g2.com/products/mongodb-atlas/reviews/mongodb-atlas-review-12533016) - “The horizontal scaling feature and the easy learning curve also make MongoDB valuable to me.” [Read Full Review](https://www.g2.com/products/mongodb-atlas/reviews/mongodb-atlas-review-12917967) - “Automated scaling, backups, monitoring and performance alerts make it incredibly easy to maintain clusters without dedicating a team to infrastructure.” [Read Full Review](https://www.g2.com/products/mongodb-atlas/reviews/mongodb-atlas-review-12057754) - “I also noticed that if indexes are not configured properly, query performance can slow down as the database grows.” [Read Full Review](https://www.g2.com/products/mongodb-atlas/reviews/mongodb-atlas-review-12863051) Source: [https://www.mongodb.com/products/mongodb-enterprise-advanced](https://www.mongodb.com/products/mongodb-enterprise-advanced) ## Claim: “Dynamic sharding horizontally scales across global regions, enabling MongoDB Atlas to process millions of telemetry events per second while maintaining sub-second query speeds and ACID compliance.” Mixed support from reviews. Reviewers report horizontal scaling through sharding and sub-second retrieval performance, but the reviews do not establish the specific millions-of-events-per-second magnitude or global-region scope. Other reviewers describe limitations around robust ACID transactions and strong consistency, leaving the overall claim mixed. - “MongoDB delivers sub-100ms real-time data retrieval speeds, making it incredibly fast for querying and analyzing large datasets. The horizontal scaling through sharding lets me easily handle growing data volumes without performance drops” [Read Full Review](https://www.g2.com/products/mongodb-atlas/reviews/mongodb-atlas-review-12533016) - “One thing I dislike about MongoDB is that it doesn't support multi-document ACID transactions as robustly as traditional SQL databases” [Read Full Review](https://www.g2.com/products/mongodb-atlas/reviews/mongodb-atlas-review-12533016) - “Achieving strong consistency is possible, but it demands careful setup, particularly in configuring write concerns and read preferences.” [Read Full Review](https://www.g2.com/products/mongodb-atlas/reviews/mongodb-atlas-review-11755777) Source: [https://www.mongodb.com/solutions/industries/manufacturing](https://www.mongodb.com/solutions/industries/manufacturing) ## Claim: “MongoDB supports high-velocity IoT and telemetry data using time series collections and dynamic sharding.” Supported by reviews. Relevant reviewers consistently describe sharding as supporting growing or event-data volumes and high-throughput applications. However, these reviews do not specifically establish the use of time series collections or IoT workloads. - “The horizontal scaling through sharding lets me easily handle growing data volumes without performance drops, which is essential for event data management systems.” [Read Full Review](https://www.g2.com/products/mongodb-atlas/reviews/mongodb-atlas-review-12533016) - “I also appreciate its horizontal scaling capabilities through sharding, which makes it suitable for handling large datasets and high-throughput applications.” [Read Full Review](https://www.g2.com/products/mongodb-atlas/reviews/mongodb-atlas-review-10787541) Source: [https://www.mongodb.com/solutions/industries/manufacturing](https://www.mongodb.com/solutions/industries/manufacturing) ## Claim: “Reduced the development time required to migrate a core banking application from a legacy relational database to MongoDB Atlas by up to 90%.” Mixed support from reviews. Some reviewers report faster development and reduced effort, while another describes a steep learning curve for teams migrating from SQL. The reviews do not establish a migration of a core banking application or the specific up-to-90% reduction. - “it really accelerated development.” [Read Full Review](https://www.g2.com/products/mongodb-atlas/reviews/mongodb-atlas-review-12830027) - “That alone cuts hours when building or modifying endpoints.” [Read Full Review](https://www.g2.com/products/mongodb-atlas/reviews/mongodb-atlas-review-12711134) - “steep learning curve for those that have no prior experience with NoSQL systems or have recently migrated from SQL.” [Read Full Review](https://www.g2.com/products/mongodb-atlas/reviews/mongodb-atlas-review-10564913) Source: [https://www.mongodb.com/solutions/customer-case-studies/bendigo-and-adelaide-bank](https://www.mongodb.com/solutions/customer-case-studies/bendigo-and-adelaide-bank)