MongoDB Partners With Codecademy on New “Learn MongoDB” Course

MongoDB
September 7, 2022

MongoDB is pleased to announce the release of the new "Learn MongoDB'' course, created together with Codecademy. Hosted on the Codecademy platform, the course teaches students the basics of MongoDB and how to perform CRUD operations, query and analyze data, and create and use indexes.

With interactive tutorials and quizzes throughout, developers in the “Learn MongoDB” course can educate themselves on the breadth of MongoDB’s developer data platform and learn best practices for building applications on top of MongoDB. And by completing additional coursework on the programming language of their choice on Codecademy, early-career developers can learn how to code across the full application stack. This is a free, self-paced course that takes approximately eight hours to complete.

For developers building new applications, identifying the right solution for their data layer is critical. But equally important is learning how to use their solution of choice for maximum reliability and scalability. In addition to documentation and how-to guides, educational courses like “Learn MongoDB” are invaluable for helping developers harness new solutions to their full potential. MongoDB offers MongoDB University, which helps developers advance their careers with MongoDB courses and certifications; we also partner with leading third-party providers of developer educational experiences like Codecademy.

If you’re a developer new to working with MongoDB, Codecademy’s “Learn MongoDB” course is a great way to get started. Sign up today!

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Free your data with the MongoDB Relational Migrator

Nothing is more frustrating than data that is just out of reach. Imagine wanting to combine customer behavior data from your CRM and usage data from your legacy product to trigger tailored promotions in your new mobile app, but not being able to locate the required data in the sea of tables in your relational database. As MongoDB CTO Mark Porter explains in his MongoDB World keynote , the data that can make a difference might be locked up “somewhere that you can’t use.” Relying on his own hard-earned experience with data, Porter adds that this information can be trapped “in a schema with hundreds or thousands of tables that have built up over decades.” “Schema is a huge part of this problem,” MongoDB product manager Tom Hollander explains during a presentation on MongoDB Relational Migrator at MongoDB World 2022. “So we’ve spent a lot of time building out the tools to enable you to map your tabular relational schema into a document schema and make use of the full power of the MongoDB document model.” To see MongoDB Relational Migrator in action, check out this introduction and demo from MongoDB World 2022, featuring MongoDB product manager Tom Hollander. What is MongoDB Relational Migrator? MongoDB Relational Migrator streamlines migrations from legacy data infrastructure to MongoDB by helping developers analyze relational database schemas, convert them into MongoDB schemas, and then migrate data from the source database to MongoDB. Currently, Relational Migrator is compatible with four of the most common relational databases: Oracle, SQL Server, MySQL, and PostgreSQL. Migrator not only moves data from your relational database to MongoDB, but it also transforms it according to your new schema. As Hollander and MongoDB product marketing director Eric Holzhauer point out , developers often use a mix of software and tools (e.g., extract-transform-load pipelines, change data capture (CDC), message queues, and streaming) to execute migrations, which can be complicated, risky, and error-prone. Relational Migrator provides a single tool that can streamline the process while simultaneously ensuring that your data lands in an organized, logical manner. By simplifying schema translations — one of the most complex, difficult parts of any relational migration — Relational Migrator grants developers and other technical teams a greater degree of control over (and increased visibility into) their new MongoDB schema. The result is to make data more accessible for analysis and decision making. “Now I can get at the data in my program without going through a translation layer,” Porter explains. A visual representation of how Migrator maps relational schema to document schema. Migration mode: Snapshot or ongoing? Migrator provides two modes of data transfer: a one-time snapshot or a continuous sync (which will be available later this year). To help decide which mode you should use, consider whether you can move over to MongoDB and immediately decommission your previous database or whether you need to keep your existing relational database up and running. Organizations may wish to keep their relational database for various reasons, such as testing the effectiveness of your proposed document schema, running out the contract or licensing agreement to avoid expensive fees, or keeping old databases available for audits. In this situation, you can keep your relational database running so that Relational Migrator will continue to push data from your source to your new MongoDB clusters. The limits of Relational Migrator As Hollander points out, Relational Migrator is only a tool — one intended to facilitate schema mapping, providing many abilities and options for effective schema design. “It’s not a silver bullet that will immediately modernize your application portfolio,” Hollander says. “It’s not going to do everything for you. You still have to do the planning.” Furthermore, because database schema is a tricky topic even for seasoned experts, Hollander recommends that developers would benefit from working with architects, consultants, and partners — especially if they’re not familiar with MongoDB or schema design best practices. Relational Migrator does not yet support continuous replication, which would enable your relational database and MongoDB clusters to coexist for an extended period of time. However, Hollander says that work on this feature is ongoing and it will be available in the future, along with additional capabilities like schema recommendations, an integration for the MongoDB Atlas developer data platform, and more. MongoDB Relational Migrator is currently in private preview, for use on non-production workloads with assistance from our Product and Field Engineering teams. To learn more, get in touch with your MongoDB rep or contact us via our Migrator page to discuss your workload and next steps.

September 6, 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