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For further questions, please reach out to early-access@mongodb.com.
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).
Sign up for more information
Unlock the benefits of our early access programs
Experience MongoDB’s latest technologies and influence their direction.
Pre-release access
Exclusive access to upcoming features in beta before they become generally available.
Regular check-ins
White glove experience from the MongoDB Product and Engineering team and access to a dedicated community forum.
Collaborative innovation
Make a direct impact on the success of our products with a chance to co-develop.
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
Horizontal Auto Scaling
Horizontal auto-scaling is MongoDB’s fully managed horizontal scaling capability. It automatically adds shards when your cluster needs more capacity, redistributes sharded collection data in the background for balanced performance all without any manual intervention or application changes.
MongoDB Search and Vector Search with MongoDB Enterprise Server and Community Edition
Power search-driven experiences with MongoDB's native full-text and vector search. Use Community Edition for local development with features like autocomplete, fuzzy matching, and semantic vector search, or choose Enterprise Server for scalable, high-performance queries in Kubernetes.
Automated Voyage AI Embeddings in MongoDB Vector Search for Atlas
Enable one-click AI powered semantic search on text data in MongoDB Atlas. Select a model in the vector index definition to automatically generate embeddings on data ingestion, updates and for queries using Atlas-managed Voyage AI models.
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MongoDB Extension for Hibernate ORM Framework
Integrate MongoDB with Java applications easily using JPA annotations, HQL, and native MongoDB queries (MQL). Enhance Hibernate projects with minimal changes, combining relational mapping with MongoDB’s flexible document capabilities for scalable, efficient data access.
Your path to early access
Sign Up
Note: Participation may require a non-disclosure agreement (NDA).
Get Accepted
If your use case fits, we’ll enroll you and send onboarding details.
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
EVP, Engineering, Acoustic
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
EVP, Engineering, Acoustic
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
Founder & CTO, Drivly Inc
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
Software Engineer, Meltwater
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
Akazia Consulting
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
CTO at Recart
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
Software Engineer, Allthings
Frequently Asked Questions
Joining MongoDB's early access programs is completely free. There are no additional costs involved for signing up or participating.
New features or projects are released through the early access programs on a quarterly basis, depending on the development and readiness of each initiative.
Features in beta phase or preview are not recommended for production environments. These programs do not include formal consulting, SLAs, or technical support obligations, other than the help provided by product managers within the program. We recommend testing in a staging environment before considering broader use.
We publish a biannual newsletter with updates on current and upcoming early access programs.
To subscribe or ask any questions, email us at early-access@mongodb.com.
Once your enrollment is confirmed, you will receive an email containing detailed instructions and information about the feature’s timeline and availability to help you begin testing.