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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

26 VOTE

Restrict specific users or client IPs to only Analytics node(s)

There are use-cases where certain users or client IPs need to be given access restricted to only the Analytics node(s) . While it is possible to grant such users read-only permissions at the database/collection level, and have them use the ANALYTI...

Guest about 5 years ago in Atlas 4 Submitted

4 VOTE

Hybrid Search

Provide improved support for combining $search and $vectorSearch stages

Guest 10 months ago in Vector Search 0 Submitted

28 VOTE

Implement conditional DNS forwarders in Atlas to support internal LDAP servers

When a customer wants to use their private LDAP server in Atlas, they currently need to either expose their name via public DNS or use an internal CA and an IP address. For some customers these scenarios are suboptimal since they want to keep thei...

Andrey Brindeyev over 5 years ago in Atlas 1 Submitted

1 VOTE

Evolve MongoDB Atlas from a reactive managed database into an intelligent, context-aware platform that understands application intent, schema evolution, workload patterns, and cost impact to proactively guide safe, scalable production decisions

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. Modern applications evolve continuously, but database platforms primarily react to usage rather than understanding applica...

Prithwiraj Mazumdar 2 months ago in Atlas 2 Future Consideration

1 VOTE

Reduce cost like introduce one more slab in subscription

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...

Pramod Cr 2 months ago in Atlas 1 Future Consideration

1 VOTE

Create your own app so developers can quickly access their data.

No description provided

Shiv Kumar 2 months ago in Atlas 1 Future Consideration

1 VOTE

Reduce the Private Endpoint downtime during Replica Set to Sharded Cluster conversion

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. Private Endpoint clusters converting from replica set to sharded clusters incurs downtime. Those customers who are only i...

Flavio Orfano 2 months ago in Atlas 0 Future Consideration

1 VOTE

Thanks Mongo team,if more lazy loading techniques and cli migration are added

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. 1.I like to create and seed data on three tables at the same time. 2.Make platform to work offline What would you li...

Mpepho Themba 2 months ago in Atlas 1 Future Consideration

11 VOTE

Allow customization of where $merge creates the temp collection used when rehydrating data from Online Archive --> Atlas

When you restore data from the Online Archive back into your Atlas cluster (aka "rehydrate") you need to use $merge within an aggregation pipeline. What isn't documented is that $merge will create a temporary collection in the same database you're...

Toben Nelson about 2 years ago in Atlas Backups 0 Submitted

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