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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

1 VOTE

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

11 VOTE

Provide the ability to auto-scale dedicated search nodes

Currently, dedicated search nodes in Atlas Search cannot be auto-scaled. This is a feature request to introduce the ability to auto-scale dedicated search nodes.

Guest over 2 years ago in Atlas Search 1 Submitted

1 VOTE

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 3 months ago in Compass & Data Explorer / Data Modeling & Indexing 0 Future Consideration

12 VOTE

Mutli-select faceting / facets should not affect their own filter field

I want to build multi-select facet without having to run separate queries to calculate bucket counts for each active filter. Described in detail here: https://yonik.com/multi-select-faceting/

Guest over 2 years ago in Atlas Search 2 Submitted

3 VOTE

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 9 months ago in Data Modeling & Indexing 0 Submitted

24 VOTE

Return results from within arrays

I have a document that looks like this: { shoppingList: [ { name: "red hat"}, { name: "green shoes"} ] } I would like to query $search for "green" and return {name: "green shoes"} instead of returning the entire document.

Guest over 5 years ago in Atlas Search 5 Planned

13 VOTE

MongoT (Atlas Search) logs available

Provide mongot logs (Atlas Search) available to the customers to be downloaded and analyzed like right now it is possible to download and analyze mongod logs (classic db).

Guest over 3 years ago in Atlas Search 0 Submitted

13 VOTE

$bucketAuto for number facets

As a developer, I would like to have functionality for NumberFacets similar to the $bucketAuto operator, so that I can define the number of buckets I want instead of setting the boundaries myself. This function is helpful in situations where you ...

Tom Richter over 3 years ago in Atlas Search 1 Submitted

8 VOTE

Non-sequential or Deep Pagination

I want to be able to paginate results in non-sequential order, e.g. Skip from page 1 to 5, or skip from first to last page of results

Guest about 2 years ago in Atlas Search 0 Submitted

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