Today MongoDB 3.2 is generally available; you can download now.
Our community is critical to ensuring the quality of our releases. Thank you to everyone who participated in our 3.2 Bug Hunt. Winners were selected based on the user impact and severity of the bugs found.
Stuart Hall | SERVER-21690
Nick Judson | SERVER-21434
To learn more about MongoDB 3.2:
Announcing the General Availability of MongoDB 3.2 and Bug Hunt Winners
MongoDB 3.2 is now generally available for production deployments - you can download the community version or MongoDB Enterprise Server today. This is truly a giant release. MongoDB 3.2 features better support for robust, highly available multi-data center deployments, document validation to ensure you can leverage our flexible data model without sacrificing governance controls for data quality, improved tools for analytics, and much more. Click to tweet : .@MongoDB 3.2 is now generally available spr.ly/6006BrNvn Let’s take a look at what’s inside. New Storage Engines for New Use Cases We’re introducing new storage engines that extend the capabilities of MongoDB, including an in-memory storage engine for the most demanding real-time apps (currently in beta) and an encrypted storage to secure data at rest. Document Validation In MongoDB 3.2, you can now get the benefits of a flexible data model without sacrificing governance. With document validation , you can define rules on what's being stored in your database. MongoDB Compass MongoDB 3.2 introduces MongoDB Compass , a new tool that allows developers and DBAs to visualize and explore their MongoDB data without having to use the MongoDB query language. It’s a sophisticated and simple to use GUI. BI Connector The new BI Connector in 3.2 enables analysts, data scientists, and business users to visualize MongoDB data with industry-standard SQL-based BI platforms such as Tableau, Qlikview, and more. And so much more We’re only scratching the surface with the above. MongoDB 3.2 also introduces $lookup to join data across collections, enhancements to Cloud Manager and Ops Manager , partial indexes, and so much more. Learn more in our about MongoDB 3.2 page . Community Contribution & Bug Hunt Winners As always, we couldn’t have done it without the ongoing contribution and feedback from our community. Thank you to everyone who participated in the Bug Hunt and provided us with feedback on the new functionality. We’ve selected this year’s winner and honorable mention: Winner - Stuart Hall Stuart found SERVER-21690 , a 100x performance regression in text search with phrase matching with text index v3. After the bug was identified and fixed he helped us test the fix. Stuart has also reported other issues that are being investigated. Honorable Mention - Nick Judson Nick submitted SERVER-21434 , uncovering a bug in findAndModify returning unexpected results when there are multiple readers. The first prize winner and honorable mention received a $1500 and $500 Amazon gift card respectively, a free ticket to MongoDB World 2016, and a reserved front row seat at the conference. Congratulations to the winners and thanks to everyone who downloaded, tested and gave feedback on our release candidates. Learn More There are many ways to learn more about the newest version of MongoDB. Review our about MongoDB 3.2 page Read the What’s New in MongoDB 3.2 white paper Learn about 3.2 left outer joins and other aggregation enhancements in our 3 part blog series Watch the What’s New in MongoDB 3.2 on-demand webinar Review the 3.2 release notes Register for our presentation on Best Practices for Upgrading to MongoDB 3.2 The best way is to download and try it out. We’re excited for you to download MongoDB 3.2, click below: Download Community Download Enterprise
MongoDB and AWS: How a decade-old collaboration got even better in 2022
Developers select MongoDB because it makes building with data for almost any class of application easy and fast for them. They select Amazon Web Services (AWS) because it offers a comprehensive and broadly adopted cloud platform, offering more than 200 fully featured services. Bringing together MongoDB Atlas on AWS helps developers build and ship higher quality applications faster and scale them further. MongoDB has collaborated with AWS for close to a decade now, but 2022 has seen dramatic growth in both the quantity and quality of our joint activities, resulting in a strategic collaboration agreement announced earlier this year. Our collaboration spans joint product engineering and integration so MongoDB Atlas is a first-party service on AWS, and also extends to making it easy for customers to procure MongoDB Atlas on AWS. In 2022, we have worked more closely together than ever before. In this post, we'll cover what we've achieved, and how our customers benefit. If at any point you want to stop reading about the partnership and experience it in action, we invite you to get started for free with MongoDB's fully managed, pay-as-you-go listing on the AWS Marketplace . Delivering an outstanding customer experience Since re:Invent 2021, MongoDB and AWS have jointly seen an explosion in customer success, with MongoDB for Startups becoming one of the most widely used offerings in the AWS Activate program after we launched in July. And, since launching in the AWS Marketplace with pay-as-you-go pricing in December 2021, MongoDB Atlas has become one of the most popular self-service listings, with well over 1,000 customers. More broadly, we've seen our AWS Marketplace business show triple-digit growth through significant, mutual investments across engineering, sales, and marketing. We've also found great success working with AWS' Workload Migration and Proof of Concept programs, helping many new customers accelerate their migration to MongoDB Atlas on AWS over the past 12 months. Additionally, while MongoDB works closely with AWS across the globe, we devoted increased attention to Europe this past year, resulting in a considerable increase in customer adoption. As a result, AWS named us their AWS Marketplace Partner of the Year - EMEA in November 2022. One way that we've helped to accelerate such customer success is by making it easier to procure MongoDB Atlas on AWS. Over the past year, MongoDB and AWS have significantly simplified the purchasing experience for customers. We did this across a few key areas. One thing customers love about buying through AWS Marketplace is how seamless it makes the purchasing experience. However, historically this has been slowed somewhat for MongoDB customers by the need to agree to separate legal terms. Starting in November 2022, however, all Atlas on AWS customers purchasing through the AWS Marketplace Self Service listing use AWS Marketplace’s Standard Contract for Marketplace (SCMP) terms and conditions rather than MongoDB Cloud Terms of Service, thereby further reducing friction to getting productive, faster, with MongoDB. Close product collaboration Behind these improvements to our joint purchasing experience were significant improvements to how MongoDB Atlas integrates with key AWS services. MongoDB has long worked seamlessly with core AWS services such as Amazon Elastic Compute Cloud (Amazon EC2) and Amazon Simple Storage Service (Amazon S3), and more recently has collaborated with AWS to ensure tight integration with AWS container services like Amazon Elastic Kubernetes Service (Amazon EKS) and Amazon Elastic Container Service (Amazon ECS), AWS serverless technologies like AWS Lambda, Amazon Eventbridge, and AWS Fargate; and edge computing services like AWS Wavelength . Over the past year, however, we've delved more deeply into AWS machine learning services (Amazon Comprehend, Amazon Kendra, Amazon Lex, etc.), AWS AppSync, Amazon Forecast, AWS Elastic Beanstalk, and more. In addition to direct integrations with AWS services, we made it simpler for customers to use MongoDB with important joint partners such as Datadog, Databricks, and Confluent. For Datadog, we improved MongoDB Atlas App Service to support forwarding logs on AWS to Datadog, thereby improving observability through real-time log analytics. With Databricks, we announced MongoDB as a data source within a Databricks notebook, thereby offering data practitioners an easier, more curated experience for connecting Databricks to MongoDB Atlas data. And with Confluent, we strengthened our integrations to help developers easily build robust, reactive data pipelines that stream events between applications and services in real time. Through innovations to the purchasing process and the product experience, we've helped make thousands of customers successful running MongoDB on AWS. Some joint customers, like Unqork , are upending entire industries with innovative approaches to technology and business. Others, like Volvo's Connected Solutions business , rely on MongoDB and AWS to scale their fleet management solution from tens of millions to billions of daily events. Other recent customers include Verizon , Marsello , GLS , and Shopline . Get started with MongoDB Atlas on AWS You needn't take our word for it, however. With just a few clicks — and no risk — you can get started for free with MongoDB Atlas on AWS . There's no upfront commitment, and if you choose to continue to build with MongoDB on AWS, you only pay for what you use.