We’re thrilled to announce a new tool: MongoDB Relational Migrator. Relational Migrator simplifies the process of moving workloads from relational databases to MongoDB.
We’ve heard it from more of our customers than we can count: organizations want to replatform existing applications from relational databases to MongoDB. MongoDB is more intuitive, more flexible, and more scalable than relational databases. Customers tell us that they need to move away from a relational backend in order to build new functionality into existing applications with increased agility, to make new and better use of enterprise data, or to scale existing services to volumes or usage patterns that they were never designed to handle.
While some customers have successfully migrated some of their relational workloads to MongoDB, many have struggled with how to approach this challenge. Requirements vary. Can we decommission the old database, or does it need to stay running? Is this a wholesale replatforming, or are we carving out pieces of functionality to move to MongoDB? Some customers end up using a variety of ETL, CDC, message queue, streaming, pub/sub, or other technology to move data into MongoDB, but others have decided it’s just too difficult.
It’s also important to think carefully about data modeling as part of a migration. Though it’s possible to naively move a relational schema into MongoDB without any changes, that won’t deliver many of MongoDB’s benefits. A better practice is to design a new and better MongoDB schema that’s more denormalized and potentially to take the opportunity to revise the architecture of the application as well.
We want to make this process easier, which is why we’re developing MongoDB Relational Migrator. Relational Migrator streamlines the process of moving to MongoDB from a relational database and is compatible with Oracle, Microsoft SQL Server, MySQL, and PostgreSQL. Migrator connects to a relational database to analyze its existing schema, then helps architects design and map to a new MongoDB schema.
When you’re ready, Migrator will perform the data migration from the source RDBMS to MongoDB. Migration can be a one-shot migration if you’re prepared for a hard cutover; soon, we will also support a continuous sync if you need to leave the source system running and continue pushing changes into MongoDB.
We know that moving long-running systems to MongoDB still isn’t as simple as pushing a button, which is why Relational Migrator is designed to be used with assistance from our Field Engineering teams. For example, as part of a consulting engagement with MongoDB, a consulting engineer can help you evaluate which applications are the best candidates for migration, design and implement a new MongoDB backend, and execute the migration. Relational Migrator will significantly lower the effort and risk in transforming and replicating your data, leaving more time to focus on other aspects of application modernization.
If you’ve been trying to figure out how to get off of a relational database, get in touch to learn more about MongoDB Relational Migrator.
Working Together: MongoDB's Partner of the Year Awards
Organizations face more pressure than ever to modernize, to innovate, and to become more data-driven. Whether it's AstraZeneca doing next-generation genome sequencing to develop drugs to fight cancer and other diseases, Toyota connecting more than 100,000 warehouse vehicles with integrated telematics to reshape industrialization, or Forbes developing new ways to create and deploy content, many of the world's top companies have chosen to modernize with MongoDB. Today, more than 35,000 customers trust the MongoDB Atlas data platform with their most critical workloads. But we don’t do it alone. MongoDB's partner ecosystem has scaled to every vertical, industry, and geography, delivering MongoDB to tens of thousands of customers. MongoDB partners play many roles in the ecosystem, from extending MongoDB's developer data platform with complementary functionality to building new solutions on MongoDB to offering expertise to implement and modernize databases. Now, we are pleased to announce the 2022 MongoDB Partners of the Year. Although we are grateful for all of the many partners that help MongoDB succeed with customers, this year at MongoDB World we are recognizing a select few that have worked especially closely with us to drive joint success in the past year. The 2022 MongoDB Partners of the Year are Accenture , Alibaba Cloud , AWS , BigID , Capgemini , Carahsoft , commercetools , Confluent , Exafluence , Google Cloud , HCL Technologies , IBM , PeerIslands , Tecnotree , Temenos , and Unqork . We will honor these companies at our partner VIP reception on June 6, 2022. Global System Integrator Partner of the Year Accenture is a leading global professional services company, providing a broad range of services and solutions across strategy, consulting, applied intelligence, technology, and operations. A core tenet of Accenture’s “Cloud Continuum” approach indicates that the companies who achieve the most value from their cloud transformation journeys are those who go beyond “lift and shift” migrations and drive to “move and improve” their applications onto the cloud. Thus, Accenture is investing heavily in upskilling their consultants on MongoDB, as well as building assets to accelerate their clients’ MongoDB transformations. One example is Smart Data Mover, an Accenture asset designed to simplify and accelerate the process of modernizing legacy applications from relational database systems to MongoDB Atlas on the cloud. As a result, Accenture has been an essential partner in helping enterprises modernize with MongoDB. Learn more about the partnership. Boutique System Integrator Partner of the Year PeerIslands is a service consulting firm focused on providing high-velocity digital transformation. PeerIslands won the Boutique Systems Integrator Partner of the Year in 2021 as well, in recognition of their expertise and outstanding work in the MongoDB ecosystem. The firm consults on cloud transformation strategy and partners on product and data engineering, application transformation, and data science and AI/ML. In addition, PeerIslands has developed a suite of tools that allow for easy adoption of MongoDB and seamless migration of workloads to MongoDB within enterprises. Learn more about the partnership. Rising Star System Integrator Partner of the Year Capgemini is one of the world's foremost providers of consulting, technology and outsourcing services. Capgemini and MongoDB have partnered to help re-envision data and advanced business processes so its clients can focus on innovation. Traditional relational database management systems often inhibit performance, falter under heavy volumes, and slow deployment. Capgemini’s new Database Convert & Compare (DCC) tool, built on MongoDB, helps customers develop a new database or migrate from legacy systems to MongoDB. CapGemini has helped grow MongoDB’s footprint in some of the largest Fortune 100 financial services customers contributing large revenue numbers through the partnership, and it has been instrumental in driving MongoDB adoption by identifying new workloads and implementing new use cases for digital transformation, legacy modernization, and app modernization for financial services customers. Learn more about the partnership. System Integrator Certification Partner of the Year HCL Technologies (HCL) is a leading global technology company, helping enterprises reimagine their businesses for the digital age. Their technology products and services are built on four decades of innovation, with a world-renowned management philosophy, a strong culture of invention and risk-taking, and a relentless focus on customer relationships. HCL is partnering with MongoDB across Cloud Migration, Digital Business, and Engineering Services. This award honors partners with the highest number of MongoDB certified champions across the globe, who are skilled to modernize and transform customers' application and infrastructure leveraging MongoDB technologies. Learn more about the partnership. Cloud (Co-Sell) Partner of the Year AWS provides a massive global cloud infrastructure that allows customers to rapidly innovate and iterate. In 2022, AWS and MongoDB entered into a six-year collaboration agreement , which has placed the partnership into hypergrowth. MongoDB and AWS sellers have come together to help customers modernize, accelerate consumption of AWS customer commits, win new workloads, and close on major cross-industry and cross-vertical deals around the world. MongoDB and AWS have also partnered to help customers build modern, event-driven serverless applications, while releasing integrations for Atlas with Amazon EventBridge, Amazon Kinesis, AWS App Runner, AWS PrivateLink, AWS Wavelength, and more in the past year. The launch of Pay-as-You-Go option on AWS Marketplace made it easier for customers to pay for MongoDB Atlas using their AWS account. With additional integrations in the pipeline, there’s so much more to come. Learn more about the partnership. Cloud (Marketplace) Partner of the Year Google Cloud views the data platform as an essential building block of cloud infrastructure. Since launching MongoDB Atlas on Google Cloud Marketplace over the past three years, this partnership has seen rapid adoption and acceleration across industries such as gaming, retail, healthcare, financial services, and automotive. We have integrated MongoDB Atlas with more Google services, including DataStream, BigQuery, DataFlow, Cloud Run, App Engine, Apigee, and Cloud Functions, while also introducing a Pay-as-You-Go option on the Google Cloud Console and Marketplace . More and more Google Cloud customers are choosing to run MongoDB Atlas for a variety of needs, including managing large-scale product catalogs of popular e-commerce websites, building great customer experiences by unifying disparate pieces of data, and building modern global web and mobile applications. Learn more about the partnership. Cloud (Emerging Markets) Partner of the Year Alibaba Cloud is one of MongoDB’s largest Cloud OEM partners. In our third year of partnership with Alibaba Cloud as an authorized MongoDB-as-a-service solution, MongoDB has seen some of its strongest adoption numbers in mainland China, especially in the gaming and automotive industries. With this partnership, Alibaba Cloud ensures end-to-end management and support for customers on current and future versions of MongoDB, with the ability to escalate bug fixes and support issues on their behalf. Users of Alibaba Cloud’s platform offering receive easy access to the latest MongoDB features and capabilities, backed by comprehensive support from Alibaba Cloud and MongoDB. We remain thrilled to further scale this partnership. Try MongoDB on Alibaba Cloud . Independent Software Vendor (ISV) Partner of the Year (Financial Services) Temenos offers cloud-native, cloud-agnostic, API-first digital banking, core banking, payments, fund management, and wealth management software products, enabling banks to deliver consistent, frictionless customer journeys and achieve market-leading cost/income performance. More than 3,800 banks across the globe rely on Temenos to process the client interactions and daily transactions of more than 500 million customers. MongoDB underpins Temenos Transact, which is the most successful and widely used digital core-banking solution in the world. Temenos also selected MongoDB as foundational technology for their microservices transformation journey as they deliver their flagship product, Infinity Digital Banking. Together, we help banks and financial institutions comply with stringent data sovereignty requirements and scale seamlessly. Learn more about the partnership. Independent Software Vendor (ISV) Partner of the Year (Telco) Tecnotree is a digital business support systems (BSS) and digital partner ecosystem provider with more than 40 years of deep domain knowledge, proven delivery, and transformation capability. The company offers digital solutions for Communication & Digital Service Providers across the globe. Leveraging MongoDB technology, Tecnotree delivers world-class BSS and partner ecosystem solutions for telcos, empowering them to deliver insightful and connected customer experiences to their enterprises, consumers and partners. MongoDB powers Tecnotree’s Digital Customer Lifecycle Management Suite, empowering communications service providers (CSPs) to transform their business towards a marketplace of digital services. Learn more about the partnership. Independent Software Vendor (ISV) Partner of the Year (Healthcare) Exafluence is a domain-centric data and analytics company that utilizes modern digital technologies to enhance the competitive advantage of its customers in their markets. Exafluence brings in low-code platforms, accelerators, and expertise across a range of digital technologies to reduce time by 45% to 60% and cost by 25% to 30%, while delivering significantly higher business value. Exafluence has built a variety of technical and business solutions that can be assembled together and customized for specific business scenarios. Some of its key platform offerings include ExfDigital (Data), ExfInsights (Analytics), ExfHealth (Healthcare), and ExfIndustry (IoT). Learn more about the partnership. Independent Software Vendor (ISV) Partner of the Year (Retail) Commercetools ’ world-leading commerce platform, built on modern MACH principles (microservice-based, API-first, cloud-native and headless), is driving the future of digital commerce. Fully powered by MongoDB Atlas, the Commercetools suite allows brands to work with, not around, their commerce solution to tailor experiences to the exact needs of the business and its customers. Through this partnership, Commercetools has made MongoDB the optimal system of record for an even broader range of business-critical applications. Learn more about the partnership. Independent Software Vendor (ISV) Partner of the Year (Security) BigID’s data intelligence and privacy platform allows customers to rely on actual data discovered across the enterprise and cloud, rather than surveys and interviews, to ensure privacy compliance. To generate data insights at scale, automate advanced discovery and classification, and accommodate complex enterprise requirements, BigID chose MongoDB to power their platform. MongoDB’s data platform provides a flexible, reliable and scalable solution to customers across any vertical. Learn more about the partnership. Technology Partner of the Year Founded by the original developers of Apache Kafka, Confluent delivers the most complete distribution of Kafka with Confluent Platform. Real-time event streaming (data-in-motion) from Confluent complements the modern general-purpose distributed document database platform (for data-at-rest) from MongoDB, enabling organizations to run their business in real-time and to build fast-moving applications enriched with historical context. Learn more about the partnership. Distributor Partner of the Year Carahsoft is a trusted, long-standing MongoDB partner, and it continues to be one of our largest resellers in the world. Carahsoft’s depth and reach in the public sector market helps government agencies leverage open technologies to drive innovation, maximize cost efficiencies, and achieve success for their digital modernization initiatives. The company has been critical to growing MongoDB’s government agency and civilian business, and we’re excited for what’s next. Learn more about the partnership. Hybrid Cloud Partner of the Year IBM is a global technology company that provides infrastructure, software, hybrid cloud services, and cognitive computing to global enterprise clients. IBM played an instrumental role in helping one of the world’s largest banks launch their internal MongoDB-as-a-service on the IBM LinuxONE platform for their most critical financial applications. Our strategic partnership has helped customers powering applications on IBM Power platform and those requiring a fully managed database-as-a-service on IBM Cloud. Our OEM Partnership with Data & AI solutions and integration with IBM Cloud Pak for Data (ICP) has helped create success stories at large enterprises across the globe. By leveraging the flexibility of MongoDB on IBM Cloud Pak for Data, customers can get to market faster, iterate faster, and attract new customers faster, without sacrificing security or control. Learn more about the partnership. MongoDB for Startups Program to Unicorn Partner of the Year Unqork ’s enterprise no-code platform helps leading organizations build, deploy, and manage complex software without having to think about code. Unqork created the codeless architecture standard to free the world’s largest enterprises from the pitfalls of legacy code and allow them to focus on innovation to drive business and maintain a competitive edge. In 2017, also the year of its founding, Unqork joined the MongoDB for Startups program, which gave them free access to get started on MongoDB Atlas. Since then, Unqork has raised $414 million in funding and is valued at $2 billion. MongoDB is thrilled for Unqork’s success and honored to be a part of their journey. Learn more about the partnership. Learn more about being a MongoDB partner. Visit our list of partners to see all of our partners.
Turning Data Points Into Actionable Insights: Meet May Hoque
Imagine the interesting insights you could glean from combining multiple data sources with one tool that helps you easily analyze data over time. May Hoque is a senior software engineer on MongoDB’s Atlas Data Federation team where he helps create a distributed, federated query engine that can query across data stored in multiple sources. Keep reading to find out more about his experience joining MongoDB as an intern and new grad, then continuing to grow his career here over the last four and a half years. Jackie Denner: Thanks for sharing more about your experience today, May! To start, will you give an overview on your software engineering background and how you started working with MongoDB? May Hoque: I began exploring computer science in a high school class. The class was rudimentary but I had fun learning how to build programs. I chose computer science as my university major because it felt like a career I could grow with that both piqued my interest and offered long-term stability. I am currently a senior software engineer on MongoDB’s Atlas Data Federation team. I first joined MongoDB in 2017 as an intern, then returned after graduation to participate in the New Grad Program in 2018 which gave me an opportunity to rotate working between three different teams at MongoDB over our first six months. I originally joined the BI connector team, but then switched to the Atlas Data Federation team. JD: Tell me more about the Atlas Data Federation product. MH: Atlas Data Federation is a distributed, federated query engine at its core. This core enables users to query multiple data sources with a single query, from a single interface. Other MongoDB products, including Atlas Online Archive and Atlas Data Lake , use this core as a building block for their own functionality. The Atlas Data Lake product, for example, orders and organizes data to optimize for super fast queries even as the user's data sources grow in volume. The ability to perform complex queries, even across multiple data sources unlocks valuable benefits for a variety of use cases, for example maintaining the ability to easily query less frequently used data even after archiving it from pre-existing database clusters to less expensive locations. JD: What makes Atlas Data Federation unique? MH: We’re more than just a search function — we can also store your data and organize it in a way that makes it really fast to actually answer those questions. Its integration with Atlas and the larger MongoDB ecosystem widens the scope of the value users can get from their databases. It’s convenient and operationally simple to have all of your solutions to different challenges in the same place. MongoDB Atlas Data Lake allows developers to easily store and analyze large amounts of data in a cost-effective and scalable manner without having to worry about the underlying infrastructure. JD: Talk me through some example use cases your team supports. MH: The real value in large data sets lies in understanding the trends and relationships between the data points. There are endless possibilities of how organizations can use Atlas Data Federation to draw insights to motivate strategic business decisions, from answering questions about specific events, to aggregating insights across a group of data points. Atlas Data Lake stores and organizes your data in a way that makes it really fast to answer questions related to your collection of data. Teams across an organization can benefit from more insight into data learnings. A marketing team may want to know what percentage of their users have spent more than a specific amount on a single item, including supporting data like what the item was and when they purchased it. An investor may want to know how much profit an organization made over a specific time period. A product team may want to look at historical sales data from past product launches. Users can answer all of these questions and more with a query on Atlas Data Federation. JD: What projects are you currently working on? MH: I am contributing to a bigger MongoDB initiative to add more sources of data. Adding this support to Atlas Data Federation and Data Lake will make our service available to new clients who want to use the product, but currently can’t. I’m also working on a high level systems design challenge to rearchitect our systems to scale and improve our service for our customers. JD: Let’s talk about what it’s like to work at MongoDB. What makes the team and product exciting to work on? MH: The Atlas Data Federation team is primarily focused on problems relating to complex distributed systems and database engineering . These challenges aren’t often easy to work on, but the careful and rigorous thinking needed to solve them is exciting and rewarding. Plus, the solution to the data lake problem is in demand, and the projects we work on are relevant to the industry. JD: What is the overall engineering culture like at MongoDB? What opportunities have inspired you to grow here? MH: My experience on the team has contributed to my growth as an engineer. I’ve noticed a strong culture of learning, mentorship and diversity both on the Atlas Data Federation team and the company at large. I appreciate that our team has a wide spectrum of experience levels, from new grads to engineers with decades of experience. The team is collaborative and takes pride in supporting each other. Whether I work on a project independently or with a group of engineers, I’m never working solo. I always have the support of the team and people to bounce ideas off of throughout a project, which creates opportunity for growth. JD: Why should someone join the Atlas Data Federation team? MH: If you're someone who really likes technical challenges or you just want to solve really cool problems, we have no shortage of them to work on. If you’re focused on growth, we have opportunities for all levels of experience. It is possible to grow from an intern to a manager on our team because of the mentorship and breadth of projects available to work on, which I’ve seen happen for some of my colleagues. Our team environment is built on empathy and collaboration. JD: What stands out to you about your overall experience working at MongoDB compared to your past experiences? MH: After a few years on the team, I'm still consistently growing my skill set and working on interesting, fun projects – two primary reasons I continue to work at MongoDB. The problems the Atlas Data Federation team works on provide me useful experience that I can apply to future projects and challenges. If you’re looking to collaborate with forward-thinking teams and interesting use cases, MongoDB is one of the best tech companies to work for. Interested in transforming your career at MongoDB? View open roles on our teams across the globe.