$5,000 in AWS Activate credits for eligible MongoDB for Startups members
We’ve partnered with AWS to provide AWS Activate credits as a benefit to our MongoDB for Startups community. MongoDB for Startups program participants are eligible to apply for up to $5,000 in AWS Activate credits. Whether you are a two person startup launching a new company in your garage or a venture backed startup, AWS Activate provides you with low cost, easy-to-use infrastructure needed to scale and grow your business. With AWS Activate, startups get access to the resources they need to quickly get started on AWS - including credits, technical support, and training.
The full details can be found in the AWS Activate Terms & Conditions and the AWS Activate FAQs.
Your data is your most important asset, and your applications depend on its availability. MongoDB Atlas and AWS offer unparalleled reliability. All Atlas clusters are highly available by default, and production-level clusters are backed by an industry-leading uptime SLA of 99.995%.
Atlas and AWS deliver great performance from the start, and easily scale for the most demanding workloads. Get more out of your resources with real-time performance monitoring and automated optimization suggestions.
Your user base is global, and with MongoDB Atlas on AWS it’s easy to make sure your data is too. Atlas is available in 18 AWS regions around the world. It’s easy to define global cluster configurations to place data near users for reduced latency, or to meet data sovereignty requirements.
Combining MongoDB Atlas with AWS services is the best way to build modern, data-driven applications. Easily build event-driven applications by defining triggers in Atlas, then sending events to EventBridge to kick off other AWS services. Analyze and enrich MongoDB data with services like Rekognition, Machine Learning, and Comprehend. Automatically move older data to MongoDB-managed S3 buckets with Atlas Online Archive (beta).
Amazon S3 has become the default way to store cold data. MongoDB Atlas makes it easy to analyze S3 data alongside your live database instances.
Your data lake is already in S3, and AWS offers a broad range of tools for analyzing that central repository. Capture, transform, and deliver streaming data to Atlas with Amazon Kinesis Data Firehose.
Atlas works natively with your AWS environment, including Amazon VPC peering, AWS PrivateLink, bring your own encryption key with Key Management Service (Amazon KMS), Identity and Access Management (IAM), and Single Sign-On (SSO).
MongoDB Atlas is a database as a service created by the experts who design and engineer MongoDB. Launching an application on any database typically requires careful planning to ensure performance, high availability, security, and disaster recovery. For as long as you run your application, you have ongoing obligations that require deep expertise to continue to meet your operational goals. With MongoDB Atlas, most of this overhead goes away; Atlas provides all of the features of MongoDB while automating database administration tasks such as database configuration, infrastructure provisioning, patches, scaling events, backups, and more. This allows you to deliver applications or new features quickly, and focus on what matters most to you and your customers.
It is free to start with MongoDB Atlas for learning, prototyping, and early development. For dedicated clusters, MongoDB Atlas is billed hourly based on how much you use. The hourly rate depends on a number of factors, most importantly the size and number of servers you use. You will receive a single bill from MongoDB that explains your hourly use and backup fees. For example, if you deploy on AWS a 3-node replica set of M40s and run it 24/7 for one month using the included 80GB of standard block storage, and you have exactly 80GB, your costs would be: - Per server hourly cost1: ~$0.34 - Total servers: 3 - Total hours: 720 - Backup data: 80GB @ $2.50/GB/month - Total monthly fees paid to MongoDB: $946.79
MongoDB is one of the most scalable databases on the planet, and MongoDB Atlas brings you that same scalability, but with us managing it for you: - You can scale up or down on larger instance types with no application downtime - You can scale out across multiple instances with no application downtime using MongoDB’s native sharding capabilities