MongoDB and IONOS: Helping European Organizations in Regulated Industries Move to the Cloud

Oliver Wedell
August 18, 2022 | Updated: October 18, 2022
#Partners

As MongoDB continues to grow as a company, we remain focused on understanding our customers’ unique needs based on their industry and region, among other factors. With this in mind, we are excited to partner with German cloud provider IONOS to help European organizations in regulated industries harness the power of their data to build first-rate applications that also align with security, compliance, and sovereignty requirements.

"We want to offer our customers the opportunity to use best-in-class solutions,” said IONOS chief customer officer Martin Endreß about MongoDB becoming part of IONOS’s database-as-a-service offering.

“With MongoDB, we are now integrating with the global leader in the NoSQL segment,” he said. “In addition, our companies share fundamental values such as a commitment to full data portability and a rejection of vendor lock-in."

With more than 100K servers across 16 data centers, IONOS has a strong footprint in the public sector and other industries where cloud usage is constrained by compliance or data sovereignty needs. Now IONOS customers can drive application innovation in the cloud using MongoDB’s developer data platform while keeping control of their data, aligning with the strongest initiatives in digital sovereignty.

The popularity and promise of cloud computing has led an ever-increasing number of businesses to shift their infrastructures and software, including databases, to managed services, and highly regulated industries are no different. Compliance, security, and innovation need not be at odds with each other. Working together, MongoDB and IONOS provide developers with a platform that lets them build, deploy, and run applications securely.

MongoDB and IONOS are working closely to develop this new partnership — which is expected to be on offer in fall 2022 — and support customers during implementation. Both Enterprise Advanced and Community versions of MongoDB will be available with IONOS.

Learn more about finding a MongoDB partner or becoming one.

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How Trust and Collaboration Are Helping Intern Erin McNulty Take On New Challenges

Erin McNulty, a rising senior at Columbia University, is working as a software engineering intern in MongoDB’s New York City office. After interning at MongoDB during the summer of 2021, Erin returned this year to take on a new challenge on a new team — and a new programming language. Read on for more about Erin’s experience and how MongoDB’s engineering culture has enabled her to grow. Sammy Attia: Welcome back, Erin! I know this is your second summer internship at MongoDB. Can you share a bit about why you decided to join MongoDB in the first place and why you decided to come back? MongoDB intern Erin McNulty Erin McNulty: The first time I chose MongoDB, it was because throughout my interview process, I could tell that MongoDB really valued interns’ growth, so I felt like spending my summer here would be a really good investment. I knew that at MongoDB, I would have a meaningful project that truly helped me grow and would make an impact at the company. I also really enjoy the culture of the New York City technology scene, so I was really excited to receive an offer from a company that was created and headquartered in NYC. When I was deciding to come back to MongoDB the second time, I really prioritized working at a place that would let me explore different types of software engineering because I wanted to make the switch from web programming to systems programming. I knew that MongoDB’s supportive, learning-oriented environment would allow me to take that risk of trying something new. In addition, I have become really interested in database technology and took a few classes during my junior year, so I wanted to put that knowledge to use on the server team. It’s great to hear that you are able to explore different types of programming as a MongoDB intern. What does the service architecture team do? My team is responsible for building the “glue” that holds different components of the MongoDB server together. We build internal APIs that simplify intra- and inter-process communication within MongoDB deployments. In practice, this looks like building a lot of libraries that make networking, asynchronous programming, and remote command execution simple for replication, sharding, and other server teams to use. I have really enjoyed working on this team, because our job is basically to write clean, reusable code that makes other developers’ lives easier. I find it really satisfying to refactor messy, one-off pieces of code to use our libraries instead. Considering that you’re a two-time intern, what is your favorite part about MongoDB’s internship program? Interns are given a lot of trust at MongoDB, which allows us to not only learn technical skills, but also develop our working styles and take risks during the internship. As the summer has progressed, I have been given more and more trust in terms of designing my own solutions to issues without obvious solutions. Even if I make a decision that might not be the best way to solve the problem, I am given the space to discover and correct that on my own. Because of this, I feel like the MongoDB internship program has helped me grow as an engineer who is responsible for design and execution, not just as somebody who writes code that I am told to write. In addition, the internship has allowed me to explore different aspects of MongoDB through reading documentation from other teams. I’ve also had the opportunity to have coffee chats with other engineers and look through the codebase overall. This makes me feel like I am really valued as a growing engineer, rather than just somebody who is around to do some extra work for the summer. It sounds as though you’re really enjoying our strong engineering culture and are taking advantage of the resources we provide to interns at MongoDB. Could you speak a little more about the overall culture? The first thing that comes to mind when thinking about MongoDB’s culture is collaboration. Curiosity and intellectual humility are cornerstones of our engineering culture, and that leads to really productive engineering. When discussing technical decisions within my team, it is very common to hear, “I thought X, but after listening to you walk through your thinking, I am leaning toward Y.” The culture makes it feel like everyone can contribute, and that every idea is worth hearing because it will be given a fair shot. I also really like the intellectual curiosity of MongoDB engineers. It seems that everyone has a little side interest in another team’s work, and you frequently hear engineers ask each other questions about the inner workings of their projects. It seems that you've really embraced one of our most important company values, "build together." Do you have any advice for students who might be considering interning at MongoDB? I would encourage students considering a MongoDB internship to try new things when choosing their teams for the summer. The first summer I was here, I wanted to stick with what I knew by working on a team that used React and Java. This summer, I had to learn an entirely new language, C++, in order to work on my team, and I think that I have grown so much through this experience of trying something new in my internship. Interested in opportunities for college students at MongoDB? Find out more .

August 17, 2022
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MongoDB Named a Leader in the 2024 Gartner® Magic Quadrant™ for Cloud Database Management Systems

I’m pleased to announce that MongoDB has been named a Leader in the 2024 Gartner® Magic Quadrant™ for Cloud Database Management Systems (DBMSs) for the third consecutive year. In our view, this recognition cements MongoDB’s status as the only pure-play database provider in the cloud database management system category, underscoring MongoDB’s innovation, execution, and customer-centric approach. According to Gartner, “The cloud DBMS market remains as vibrant as ever and is transforming in important ways, especially in the use of gen AI and how DBMSs interact with other data management components. This Magic Quadrant will help data and analytics leaders make the right cloud DBMS choices in this essential market.” We believe this continued recognition by Gartner is a testament to MongoDB’s commitment to serving developers, as well as the investments we’ve made in our unified platform and integrated services. Driving innovation for enterprises MongoDB's mission is to empower innovators to create, transform, and disrupt industries by unleashing the power of software and data. 2024 was a year of innovation and accolades at MongoDB, and I’m proud to share some of its highlights: In October, we released MongoDB 8.0 , the best performing version of MongoDB yet. MongoDB 8.0 is over 30% faster than the previous version of the database, it’s more secure than ever, horizontal scaling is faster and easier (at a lower cost), and MongoDB 8.0 gives teams greater control for optimizing database performance. We also launched—and grew—the MongoDB AI Applications Program (MAAP) . With MAAP, MongoDB offers customers a full AI stack and an integrated set of professional services to help them keep pace with innovation, identify the best AI use cases, and to help them future-proof AI investments. MongoDB became a founding member of the U.S. Artificial Intelligence Safety Institute Consortium . Established by the U.S. Department of Commerce’s National Institute of Standards and Technology, the Consortium supports the development and deployment of safe and trustworthy AI. MongoDB released hundreds of features and enhancements to accelerate innovation, manage costs, and simplify building applications at scale. MongoDB was recognized as the most loved vector database in Retool’s State of AI report —for the second consecutive year. The Gartner Magic Quadrant for cloud database management systems “Gartner defines the cloud database management systems (DBMSs) market as solutions designed to store, manipulate, and persist data, primarily delivered as Software-as-a-Service (SaaS). These systems must support transactional, analytical, and hybrid workloads while enabling enterprises to innovate across multi-cloud, hybrid, and intercloud ecosystems.” 1 It’s our opinion that this recognition by Gartner is a testament to MongoDB’s strong ability to execute and support customers today, as well as MongoDB’s comprehensive product vision that positions our platform to support tomorrow's operational workloads. What is the Magic Quadrant, and what is a Leader? “A Gartner Magic Quadrant is a culmination of research in a specific market, giving you a wide-angle view of the relative positions of the market’s competitors.  By applying a graphical treatment and a uniform set of evaluation criteria, a Magic Quadrant helps you quickly ascertain how well technology providers are executing their stated visions and how well they are performing against Gartner’s market view.” 2 According to Gartner, “Leaders execute well against their current vision and are well positioned for tomorrow.” Overall, Magic Quadrants can help you “get quickly educated about a market’s competing technology providers and their ability to deliver on what end-users require now and in the future.” Powering innovation at scale with MongoDB Atlas Enterprises choose MongoDB Atlas because it gives them the freedom and agility they need to succeed in a rapidly evolving digital landscape. MongoDB Atlas’s multi-cloud architecture—including availability across Amazon Web Services, Google Cloud, and Microsoft Azure—ensures customers can design for unmatched scale and resilience. By automating functions like scaling and performance optimization , and giving them the ability to leverage industry-first capabilities like MongoDB Queryable Encryption (which allows customers to encrypt, store, and perform queries directly on data), with MongoDB Atlas customers can spend less time managing infrastructure and more time delivering experiences. MongoDB Atlas’s integrated capabilities to support multi-modal data types and use cases—like full-text and vector search , stream processing , and data federation —accelerate innovation, helping enterprises quickly respond to market changes, power AI-driven insights, and deliver meaningful digital experiences to their end users—all without the burden of operational complexity. Modernizing and building for the future In our opinion, the Gartner Magic Quadrant provides organizations with a clear and accessible evaluation framework to identify solutions that fit their needs, today and tomorrow. The placement of MongoDB in the Leader quadrant for Cloud Database Management Systems—for the third year in a row!—validates the efforts MongoDB has made to help developers and organizations take advantage of their most valuable resource, their data. I talk to MongoDB customers frequently, and many say the same thing: in today’s digital-first economy, AI-powered applications and scalable data infrastructure aren’t just advantages, they’re absolute necessities. They say that the time to act is now, and they’re looking for solutions that will help them innovate, streamline, and seize the AI-driven future. And when it comes to modernizing their operations, they consistently point to MongoDB as their go-to partner. Begin your cloud journey with MongoDB Atlas today. Contact our sales team or register for a free account to begin building! And to learn how MongoDB can help accelerate your AI journey, visit the MongoDB AI Applications Program page. Footnotes Gartner, Magic Quadrant for Cloud Database Management Systems,  Henry Cook, Ramke Ramakrishnan, et al., 18 December 2024 GARTNER is a registered trademark and service mark of Gartner, Inc. and/or its affiliates in the U.S. and internationally, and MAGIC QUADRANT is a registered trademark of Gartner, Inc. and/or its affiliates and are used herein with permission. All rights reserved. Gartner does not endorse any vendor, product or service depicted in its research publications, and does not advise technology users to select only those vendors with the highest ratings or other designation. Gartner research publications consist of the opinions of Gartner’s research organization and should not be construed as statements of fact. Gartner disclaims all warranties, expressed or implied, with respect to this research, including any warranties of merchantability or fitness for a particular purpose. 1 Gartner Peer Insights, Cloud Database Management Systems, December 2024 https://www.gartner.com/reviews/market/cloud-database-management-systems 2 Gartner Research Methodologies, Gartner Magic Quadrant, 20 December 2024 https://www.gartner.com/en/research/methodologies/magic-quadrants-research

December 23, 2024