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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.
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MongoDB Early Access Programs
Sign up for more information
  • 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)
  • Search and Vector Search on Community Edition
  •  Search and Vector Search on Enterprise Edition
  • Atlas Resource Policy
  • SQL On Prem
  • MongoDB for IntelliJ Plugin
  • Search and Vector Search on Community Edition
  • Search and Vector Search on Enterprise Edition
  • Atlas Resource Policy
  • SQL on-prem
  • MongoDB for IntelliJ Plugin

Unlock the benefits of our early access programs

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

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

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Regular check-ins

White glove experience from the MongoDB Product & Engineering team and access to a dedicated Community Forum.

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Collaborative innovation

Make a real-world impact on the success of our products and services 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

Vector Search illustration.

Full text search and vector search on Community Edition

Develop and deploy full text and vector search workloads on-premises and enhance productivity by scaling search independently of the database.

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Atlas resource policy

Manage Atlas resources according to governance and compliance requirements and enforce security policies with granular control over access to Atlas capabilities.

Illustration of a plug and socket encircling a web page with a check mark and cursor arrow on top to represent a fully integrated online archive.

SQL on-premises

Enable integration between MongoDB EA self-managed databases and SQL-based tools for operational reporting and analytics while providing ODBC and JDBC APIs with live and read-only connectivity.

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MongoDB for IntelliJ plugin

Built for IntelliJ IDEA Ultimate, this plugin simplifies MongoDB workflows by allowing enterprise Java developers to write and test Java queries faster, receive proactive performance insights, and reduce runtime errors right in their IDE.

Preliminary process
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Sign up

Be aware that participation in early access programs may require a non-disclosure agreement (NDA).

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Qualify

If your use case is accepted, you will be enrolled and receive onboarding instructions.

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Expectation

Once enrolled, you will be asked to test the feature and give feedback over the phone or through a survey.

ATLAS STREAM PROCESSING
“Leveraging MongoDB’s stream processing, MyFirstGym venues efficiently capture real-time IoT data from activity wristbands, delivering insights through dynamic dashboards on TV’s at each venue and via mobile & web apps. The kids love it !”
Angus Johnston
Lead Engineer, MyFirstGym
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
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
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
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
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

Frequently Asked Questions

Are there any costs associated with joining MongoDB's Early Access Programs?
No, there is no cost associated to participate in the program.
How often are new features or projects released through the Early Access Programs?
Early Access Programs can vary depending on the nature of the features involved. In some cases, new features may be released quarterly while in others, it could be even less frequently.
Are Early Access Programs suitable in production?
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.
How can I get started with testing?
Upon confirmation of joining the program, follow the instructions provided in the confirmation email, where more information on the timelines for the feature will be shared.
For further questions, please reach out to early-access@mongodb.com.