We are pleased to announce the general availability of MongoDB Atlas for Government, which is an independent environment of our flagship cloud product MongoDB Atlas that’s built for US government needs. It will allow federal, state, and local governments as well as educational institutions to build and iterate faster using a modern database-as-a-service platform. The service is available in AWS GovCloud (US) and AWS US East/West regions.
We are also pleased to announce that MongoDB Atlas for Government has been approved as FedRAMP Ready. FedRAMP Ready indicates that a third-party assessment organization has vouched for a cloud service provider’s security capabilities, and the FedRAMP PMO has reviewed and approved the Readiness Assessment Report.
MongoDB Atlas for Government Highlights:
- Atlas for Government clusters can be created in AWS GovCloud East/West or AWS East/West regions.
- Atlas for Government clusters can span regions within AWS GovCloud or within AWS (but not across those two environments).
- Atlas core features such as automated backups, AWS PrivateLink, AWS KMS, federated authentication, Atlas Search, and more are fully supported
- Applications can use client-side field level encryption with AWS KMS in GovCloud or AWS East/West.
Getting Started and Pricing:
MongoDB Atlas for Government is available to Government customers or companies that sell to the US Government. You can buy Atlas for Government through AWS GovCloud or AWS marketplace. Of course, you can also work directly with MongoDB; please fill out this form and a representative will get in touch with you.
MongoDB Atlas Celebrates Five Years of Innovation in Data
Today we’re thrilled to celebrate the five-year anniversary of Atlas, MongoDB’s multi-cloud database platform. When we launched Atlas in 2016, we couldn’t have foreseen the impact it would have on both our customers and MongoDB as a company. MongoDB Atlas has allowed us to become an ever more trusted partner to our customers, playing a key role in their efforts to manage and mitigate risk. One of the insights that spurred the development of Atlas — that it should be easy to move your data into, out of, and between clouds — remains as groundbreaking today as it was five years ago. Thanks to our commitment to innovation, reliability, and security, Atlas’s customers include well-known companies such as Forbes , Toyota Material Handling , Pitney Bowes , and 7-Eleven . Sixty of the Fortune 100 and many of the world’s most innovative disruptors rely on Atlas to help them grow, become more efficient, gain insights from their data, and create superior customer experiences. Atlas has transformed MongoDB into a cloud-first company: Atlas’s revenue is growing at 73 percent a year and currently accounts for more than half of MongoDB’s revenue. We got a glimpse of the future in 2009 with the first production version of MongoDB. For years, developers struggled to build modern applications on top of decades-old relational databases. Using a JSON-based document model, MongoDB was exceptionally fast, scalable, flexible, and intuitive for developers. It was unusually proficient with both structured and unstructured data. The database’s very design pushed developers and engineers to think differently about how they worked with data. As our customers investigated new business models enabled by the cloud, we noticed two things about the way they were working with data. First, they were increasingly choosing to use MongoDB in the cloud rather than hosting it on premises. Second, our customers were gravitating toward managed services. If our customers were going to the cloud — and they were — we needed to be there too. Our goal was not only to become a cloud-native database, but also to provide developers with a superior platform so they could change the world with data — and employ all the cloud’s potential to do it. As a managed service, Atlas would free developers from the overhead of managing MongoDB themselves. By making data portable across the biggest public clouds, such as Amazon Web Services (AWS), Google Cloud Platform (GCP), and Microsoft Azure, it would free data from vendor lock-in. Developers and engineering teams could match the right cloud to the right workload in a few clicks and a few minutes without writing or rewriting code. Since Atlas shipped in 2016, it has gained more than 25,000 customers. We’ve dramatically improved its functionality, turning it into an even more powerful tool to fulfill our mission of making data stunningly easy to use. At its 2016 launch, Atlas was available in four AWS regions. The next year, we introduced cross-region replication. Within a single cloud, a customer could now enable cross-region deployments for even better availability guarantees. We launched global clusters in 2018, which made it easier to place data closer to the user and enabled our customers’ applications to run faster all over the world. MongoDB Atlas is now available in about 80 regions across AWS, Microsoft Azure, and GCP. Atlas customers can switch clouds as business requirements change to take advantage of pricing changes and make the best use of each cloud’s capabilities. Our broad reach also helps our customers comply with increasingly complex data sovereignty and localization requirements. We’ve pushed Atlas well beyond the ability to serve larger numbers of regions. In 2019 we acquired Realm , which makes data accessible no matter where your user is or how lousy their connectivity may be. The MongoDB Realm Mobile Database enables simple, powerful persistence on mobile devices so apps can work offline as well as they do online. Two years later, we released MongoDB Realm Sync, making it even easier to keep data in sync across users and devices and connect to the Atlas database on the backend. We also released MongoDB Atlas Search, which enables developers to create rich, relevance-based search without moving their data into a separate search engine. That was accompanied by MongoDB Atlas Data Lake, enabling developers to use federated queries to analyze data across tiers. In 2019 we introduced client-side field-level encryption, an industry-leading approach to security. It’s relatively common to encrypt data at rest or in transit, but client-side field-level encryption encrypts data while it’s in use. There’s no additional code for developers to write and no significant impact on performance, and applications can still query data. Client-side field-level encryption enables our clients to use managed services in the cloud with more confidence, because even those who support the underlying cloud infrastructure cannot decrypt the data. It also makes it easier to comply with increasingly common “right to be forgotten” mandates in contemporary privacy legislation. A user can be forgotten simply by destroying the associated encryption key, making their data unreadable and irrecoverable. In 2020, our development teams accomplished what had been their mission since the inception of Atlas: multi-cloud clusters. With multi-cloud clusters, MongoDB Atlas goes well beyond its promise — fulfilled years earlier — to work equally well in any of the public clouds. Multi-cloud clusters enable a single cluster to be in multiple clouds simultaneously, making it trivial to move data between them. We have big plans for the next five years, and we’re already getting started. Soon we’ll preview serverless instances on MongoDB Atlas, making it even easier for development teams to get the capacity they need, when they need it. You choose the region that hosts your data and we’ll do the rest, with an on-demand database endpoint that dynamically adapts to your application traffic. We’re also making it easier to support a broader range of workloads, offering new ways to future-proof apps, and continuing to improve security and privacy capabilities. We’ll be making major enhancements to Atlas Data Lake, Atlas Search, and Realm Sync, all of which reduce architectural complexity and allow our customers to get more value from their data with a unified application data platform. And we’ll be doing it all on an accelerated cadence. Starting with MongoDB 5.0, we’ll publish new releases every quarter for those who want to be on the fast track, and then rolling those up into annual Major Releases for those who want to stay on the current cycle. We expect the next five years to be just as exciting and innovative as the past five — if not more. We can’t wait to see you there. For more on Atlas's Five Year Anniversary, check out this video
A Hub for Eco-Positivity
In this guest blog post, Natalia Goncharova, founder and web developer for EcoHub — an online platform where people can search for and connect with more than 13,000 companies, NGOs, and governmental agencies across 200-plus countries — describes how the company uses MongoDB to generate momentum around global environmental change. There is no denying that sustainability has become a global concern. In fact, the topic has gone mainstream. A 2021 report by the Economist Intelligence Unit (EIU) shows a 71% rise in the popularity of searches for sustainable goods over the past five years. The report “measures engagement, awareness and action for nature in 27 languages, across 54 countries, covering 80% of the world’s population.” The EIU report states that the sustainability trend is accelerating in developing and emerging countries including Ecuador and Indonesia. For me, it’s not a lack of positive sentiment that is holding back change; it is our ability to turn ideas and goodwill into action. We need a way of harnessing this collective sentiment. In 2020, the decision to found EcoHub and devote so much time to it was a difficult one to make. I had just been promoted to team leader at work, and things were going well. Leaving my job with the goal of helping to protect our environment sounded ridiculous at times. Many questions raced through my mind, the most insistent one being: Will I be able to actually make a difference? However, as you’ll see in this post, my decision was ultimately quite clear. What is EcoHub? When I created EcoHub, my principal aim was to connect ecological NGOs and businesses. Now, EcoHub enables users to search a database of more than 10,000 organizations in more than 200 countries. You can search via a map or keyword. By making it easier to connect, EcoHub lets users quickly build networks of sustainably minded organizations. We believe networks are key to spreading good ideas, stripping out duplication, and building expertise. Building the platform has been a monumental task. I have developed it myself over the past few months, acting as product manager, project manager, and full-stack developer. (It wouldn’t be possible without my research, design, and media teams as well.) During the development of the EcoHub platform on MongoDB, the flexible schema helped us edit and add new fields in a document because the process doesn’t require defining data types. We had a situation in which it was necessary to change the schema and implement changes for all documents in the database. In this case, modifying the entire collection with MongoDB didn’t take long for an experienced developer. Additionally, MongoDB’s document-oriented data model works well with the way developers think. The model reflects how we see the objects in the codebase and makes the process easier. In my experience, the best resource to find answers when I ran into a question or issue was MongoDB documentation . It provides a good explanation of almost anything you want to do in your database. Search is everything In technical terms, my choices were ReactJS, NodeJS, and MongoDB. It is the latter that is so important to the effectiveness of the EcoHub platform. Search is everything. The easier we can make it for individuals or organizations to find like minds, the better. I knew from the start that I’d need a cloud-based database with strong querying abilities. As an experienced developer, I had previous experience with MongoDB and knew the company to be reliable, with excellent documentation and a really strong community of developers. It was a clear choice from the start. Choosing our partners carefully is also important. If EcoHub is to build awareness of environmental issues and foster collaboration, then we must ensure we make intelligent choices in terms of the companies we work with. I have been impressed with MongoDB’s sustainability commitments , particularly around diversity and inclusion, carbon reduction, and its appetite for exploring the way the business has an impact globally and locally. EcoHub search is built on the community version of MongoDB , which enables us to work quickly, implement easily and deliver the right performance. Importantly, as EcoHub grows and develops, MongoDB also allows us to make changes on the fly. As environmental concerns continue to grow, our database will expand. MongoDB enables our users to search, discover, and connect with environmental organizations all over the world. I believe these connections are key to sharing knowledge and expertise and helping local citizens coordinate their sustainability efforts. Commitment to sustainability When it came down to it, the decision to build EcoHub wasn’t as difficult as I initially thought. My commitment to sustainability actually started when I was young: I can remember myself at 8 years old, glued to the window, waiting for the monthly Greenpeace magazine to arrive. Later, that commitment grew as I went to university and graduated with a degree in Environmental Protection and Engineering. Soon after, I founded my first ecology organization and rallied our cityagainst businesses wanting to cut down our beautiful city parks. Starting EcoHub was a natural and exciting next step, despite the risks and unknown factors. I hope we can all join hands to create a sustainable future for ourselves, our children, and our animals and plants, and keep our planet beautiful and healthy. MongoDB Atlas makes operating MongoDB a snap at any scale. Determine the costs and benefits with our cost calculator .