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MongoDB Early
Access Programs

Sign up to receive more information on the latest features that are shaping the future of MongoDB before they reach general availability (GA).

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  • IT Executive (CIO, CTO, VP Engineering, etc.)
  • Business Executive (CEO, COO, CMO, etc.)
  • Architect
  • Business Development / Alliance Manager
  • DBA
  • Technical Operations
  • Director / Development Manager
  • Product / Project Manager
  • Software Developer / Engineer
  • Mobile Developer
  • Business Analyst
  • Data Scientist
  • Student
  • Other
(associated with your Atlas account)
  • Join Order Optimization
  • VectorX
  • Standby Clusters for Disaster Recovery In Enterprise
  • Join Order Optimization
  • VectorX
  • Standby Clusters for Disaster Recovery In Enterprise

Unlock the benefits of our early access programs

Experience MongoDB’s latest technologies and influence their direction.
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Pre-release access

Exclusive access to upcoming features in beta before they become generally available.

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Regular check-ins

White glove experience from the MongoDB Product and Engineering team and access to a dedicated community forum.

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Collaborative innovation

Make a direct impact on the success of our products with a chance to co-develop.

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Global spotlight

A platform to share your story on our social channels and be part of events organized globally.


Current and upcoming features in preview

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VectorX

Enable large-scale vector search in MongoDB with VectorX. Reduce memory and storage costs for massive AI workloads while maintaining competitive accuracy and query performance.

Request preview
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Standby Clusters for Disaster Recovery in Atlas

Build enterprise-grade disaster recovery in MongoDB Atlas. Continuously replicate data to a separate Atlas cluster in another region or cloud provider for sub-minute recovery and near-zero data loss.

Request Preview
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Join order optimization

Automatically optimize the execution order of multi-collection queries in MongoDB. Improve performance for complex $lookup pipelines without manual tuning.

Request Preview

Your path to early access

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Sign Up

Note: Participation may require a non-disclosure agreement (NDA).

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Get Accepted

If your use case fits, we’ll enroll you and send onboarding details.

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Test and Share Feedback

Try out the feature and let us know what you think — your insights help shape the final product!

Atlas Stream Processing
“Our Acoustic Connect platform must be able to efficiently process and manage millions of marketing, behavioral, and customer signals as they occur. With Atlas Stream Processing, our engineers can leverage the skills they already have from working with data in Atlas to process new data continuously, ensuring our customers have access to real-time customer insights.”
John Riewerts
EVP, Engineering, Acoustic
View documentation
Atlas Stream Processing
“Our Acoustic Connect platform must be able to efficiently process and manage millions of marketing, behavioral, and customer signals as they occur. With Atlas Stream Processing, our engineers can leverage the skills they already have from working with data in Atlas to process new data continuously, ensuring our customers have access to real-time customer insights.”
John Riewerts
EVP, Engineering, Acoustic
View documentation
Vector Search
“We are using AI embeddings and Atlas Vector Search to go beyond full-text search with semantic meaning, giving context and memory to generative AI car-buying assistants. We are very excited that MongoDB has added Vector Search to Atlas, which greatly simplifies our engineering efforts.”
Nathan Clevenger
Founder & CTO, Drivly Inc
View documentation
Atlas Stream Processing
“Atlas Stream Processing enables us to process, validate, and transform data before sending it to our messaging architecture in AWS powering event-driven updates throughout our platform. The reliability and performance of Atlas Stream Processing have increased our productivity, improved developer experience, and reduced infrastructure costs.”
Cody Perry
Software Engineer, Meltwater
View documentation
Atlas SQL
“The Atlas SQL interface allows me to easily fit new, modern applications into existing IT landscapes for my customers. I’m better able to leverage MongoDB for companies that I’m leading through a digital transformation knowing they can seamlessly use their existing SQL-based tools for analytics.”
Michael Höller
Akazia Consulting
View documentation
MongoDB Time Series
“The migration to MongoDB time series from our existing time series database went easily. We saw a 3-5% performance improvement compared with our previous time series-based solution. The difference between our old solution and MongoDB's precision when calculating a count was eye-opening for us, where we do not have to face the count-distinct problem.”
István Kovács
CTO at Recart
View documentation
Local Experience with Atlas CLI
“Using the recently published local Atlas Docker image, we are now able to automate our tests for code that uses Atlas search. This makes development more robust, stable, and easier to distribute across our other environments. Using the Atlas CLI, we can simplify the index creation and even automate it.”
Kevin Fester
Software Engineer, Allthings
View documentation

FAQ

For further questions, please reach out to early-access@mongodb.com.