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Generative AI and Smart Automation should be a key priority. MongoDB Atlas could significantly improve developer productivity by introducing AI-assisted query optimization that doesn’t just flag inefficient queries, but actively rewrites them into optimized alternatives. Automated index recommendations based on real workload telemetry would help teams make better performance decisions without deep manual analysis. Additionally, bot-assisted support workflows could speed up issue resolution by guiding users through diagnostics and common fixes more efficiently. Together, these capabilities would provide strong competitive differentiation while improving operational efficiency for both developers and platform teams.

What problem are you trying to solve? Focus on the what and why of the need you have, not the how you'd like it solved. Teams struggle to proactively identify and fix performance issues in MongoDB workloads. Query inefficiencies, missing or s...
Spideyyy N/A 2 months ago in Atlas Monitoring, Alerts & Observability / Data Modeling & Indexing / Performance & Optimization 1 Future Consideration

Add operator that would calculate distance between 2 geolocation points

It would be great to have operator that would calculate distance between 2 geolocation points, and not to do it manually with big aggregate queries. I suggest to add 2 new operators that would calculate distance in two different ways, as discuss...
Guest over 3 years ago in Querying & Aggregations 3 Submitted

Show latest document first instead of first document, in list

What problem are you trying to solve? Focus on the what and why of the need you have, not the how you'd like it solved. What would you like to see happen? Describe the desired outcome or enhancement. Why is this important to yo...
Profit Buddy AI 2 months ago in Performance & Optimization / Querying & Aggregations 1 Future Consideration

Implement a $hash operator for queries

Current State: MongoDB currently lacks a native $hash operator in the aggregation/query language. While certain helpers like convertShardKeyToHashed or $toHashedIndexKey exist, they are limited in scope: Not available as true query operators (e....
Guest 9 months ago in Querying & Aggregations 0 Submitted

Password enforcement without LDAP

Enforce complex password policy Enforce password expiration Enforce password history
Guest almost 6 years ago in Database 6 Submitted

Work towards making Mongo usable for Non tech users/founders/CEO with AI

What problem are you trying to solve? Focus on the what and why of the need you have, not how you'd like it solved. Example: Data management and CRM. What would you like to see happen? Describe the desired outcome or enhancement:The experience cou...
CREWBELLA Ecosystem 2 months ago in Data Modeling & Indexing 2 Future Consideration

Unique Indexes and Bulk Upserts for Time Series Collections

We would like to insert data in bulk into time series collections and identify the new data that has been inserted without the possibility of duplicates being inserted. For regular collections this is achievable by adding a unique index and perfo...
Guest about 3 years ago in Database 0 Submitted

Cloud collaboration for Data modelling

What problem are you trying to solve? Focus on the what and why of the need you have, not the how you'd like it solved. Teams cannot effectively collaborate on data models and visualizations in MongoDB Atlas. These artifacts are currently use...
Michael Tijhuis 2 months ago in Compass & Data Explorer / Data Modeling & Indexing 0 Future Consideration

Bidirectional Data Replication beetween two or more clusters

In order to provide active-active deployments on multiple datacenter without need to shard data and route trafic based on shard-key. Develop a bidirectional replication with a conflict resolution method , for example , timestamp-based.
Guest over 4 years ago in Replication & Sharding 0 Submitted

Native Support for Date-Only and Time-Only Field Types

### Summary MongoDB currently lacks native field types for **date-only** (e.g., `2025-05-28`) and **time-only** (e.g., `13:45:00`) values. This results in frequent developer confusion, incorrect behavior around time zones, wasted storage, and the...
Guest 8 months ago in Data Modeling & Indexing 0 Submitted