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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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  • 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
  • SQL On-Premises
  • MongoDB for IntelliJ Plugin
  • Automated Embedding in Vector Search
  • Predictive Auto-Scaling for Atlas Clusters
  • Atlas Data Explorer
  • Search and Vector Search on Community Edition
  • Search and Vector Search on Enterprise Edition
  • SQL On-Premises
  • MongoDB for IntelliJ Plugin
  • Automated Embedding in Vector Search
  • Predictive Auto-Scaling for Atlas Clusters
  • Atlas Data Explorer

Unlock the benefits of our early access programs

Experience MongoDB’s latest technologies and influence their direction.

Current and upcoming features in preview

Your path to early access

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

Frequently Asked Questions