As a fully managed database service, MongoDB Atlas makes life simpler for anyone interacting with MongoDB, whether you’re deploying a cluster on demand, restoring a snapshot, evaluating real-time performance metrics, or inspecting data.
Today, we’re taking it one step further by allowing developers to manipulate their data right from within the Atlas UI. The embedded Data Explorer, which has historically allowed you to run queries, view metadata regarding your deployments, and retrieve information such as index usage statistics, now supports full CRUD functionality.
To support these capabilities, new Project-level roles with different permission levels have been added.
You can assign users these new roles in the Users and Teams settings.
In addition, all Data Explorer operations are tracked and presented in the Atlas Activity Feed (found in the Alerts menu for each Project), allowing you to see who did what, and when.
When you click into the Data Explorer in Atlas, you should see new controls for interacting with your documents, collections, databases, and indexes. For example, modify existing documents using the intuitive visual editor, or insert new documents and clone or delete existing ones in just a few clicks. A comprehensive list of available Data Explorer operations can be found in the Atlas documentation.
The Data Explorer is currently available for M10 Atlas clusters and higher.
Update: Since this article was published, we have made the Data Explorer available to all MongoDB Atlas tiers, including the free M0 tier, so it's a great time to deploy a free database cluster in minutes and start your journey with the Data Explorer.
2018 MongoDB Innovation Award Winners
We received an overwhelming number of nominations for the fifth annual MongoDB Innovation Awards, recognizing companies who are using MongoDB to dream big and deliver incredibly bold, innovative solutions that are moving forward industries and changing lives for the better. We are thrilled to announce our 12 winners who will be honored at MongoDB World , New York, June 26 and 27. See the full list and read a bit more about how they are disrupting the status quo here: Global Go to Market Partner of the Year: Accenture Accenture is a leading global professional services company, providing a broad range of services and solutions strategy, consulting, digital, technology and operations. Combining unmatched experience and specialized skills across more than 40 industries and all business functions, Accenture works at the intersection of business and technology to help clients improve their performance and create sustainable value for their stakeholders. The company partners with more than three-quarters of the Fortune Global 500, driving innovation to improve the way the world works and lives. Accenture and MongoDB have worked together to help organizations leverage the power of data to gain a competitive edge. The Enterprise: Charles Schwab Charles Schwab is one of the largest financial services firms in the United States. To improve customer experience, speed up development cycles, and prepare for cloud portability, Charles Schwab is modernizing a significant portion of its applications by migrating to MongoDB-powered microservices. Multiple applications are built on MongoDB, including an authentication app leveraged by retail customers as well as a portfolio management solution utilized by registered investment advisors. Launch Fast: Coinbase Coinbase is dedicated to creating an open financial system for the world and defining what the future of finance will look like. To do this, they built the most trusted and regulatory compliant global cryptocurrency trading platform to broker exchanges of Bitcoin, Bitcoin Cash, Ethereum and Litecoin as well as pioneering cryptocurrency indexes and institutional cryptocurrency trading. In 2017, they experienced exponential growth with over 20M+ users and $150B+ being traded on their platform in over 190 countries. The Coinbase engineering team scaled and optimized MongoDB to respond to this unprecedented volume of traffic and to prepare for future waves of cryptocurrency enthusiasm. Scale: Epic Games Epic Games develops cutting-edge games and cross-platform gaming engine technology. Their massively popular, multi-platform game, Fortnite, has been played by more than 125 million gamers around the globe. The Epic team has implemented a number of best practices and performance improvements to get the best scaling and availability characteristics out of MongoDB. Data-Driven Business: Freddie Mac Freddie Mac set out to modernize a number of applications that were previously built on legacy relational databases. One mission-critical application, a property appraisal tool, held massive amounts of property and loan information, but was increasingly expensive and time consuming to update. Turning to MongoDB, Freddie Mac was able to collect information from a variety of different sources in a variety of formats to build a single view of all the information needed to accurately appraise a property. In the months since using MongoDB, Freddie Mac has seen an increase in developer productivity. Customer Experience: Fresenius Medical Care North America Fresenius Medical Care North America is the premier health care company focused on providing the highest quality care to people with renal and other chronic conditions. Through its industry-leading network of dialysis facilities, outpatient cardiac and vascular labs, and urgent care centers Fresenius Medical Care North America (FMCNA) provides coordinated health care services at pivotal care points for hundreds of thousands of chronically ill customers throughout the continent. Since 2015, FMCNA has used MongoDB Enterprise Advanced for a variety of projects to help support their mission to deliver superior care that improves the quality of life of every patient. These projects have included analytics platforms, a data lake and the FHIR platform (a healthcare standard for exchanging medical records securely and at scale). However, the most impactful application has been a single view of the patient platform built on MongoDB. This platform brings together a variety of data sources to ensure the patient, doctors and other caregivers all have a complete understanding of the treatments required and can make adjustments with confidence. Healthcare: Genomics England Genomics England, a company owned by the UK government's Department of Health and Social Care, is working with the NHS to sequence 100,000 genomes from patients with rare diseases and their families, as well as patients with common cancer. In the future, there may be a diagnosis where there wasn't one before and, in time, there is the potential of new and more effective personalized treatments for patients. On average, 1,000 genomes are sequenced per week, which amounts to around 10 terabytes of data per day. To manage this immense and sensitive data set as well as power the data science that makes it all possible, Genomics England used MongoDB Enterprise Advanced. The partnership with MongoDB allows the processing time for complex queries to be reduced from hours to milliseconds, which means scientists can discover new insights more quickly. Internet of Things: Humana Inc. With a variety of applications built on MongoDB, Humana is changing healthcare for the better. One of their IoT applications called Go365 is a corporate wellness and rewards program which helps employees live healthier lives, which in turn increases productivity and reduces overall health claims costs for employers. Go365 features a personalized program that inspires, supports, and rewards members for taking steps to improve and continue healthy behavior. Users are able to compete in challenges, connect their fitness devices and mobile apps to log healthy activities and earn points, reward themselves through the Go365 Mall, and track their progress. In fact, by year 3, people who engaged with the program saw that the cost of their health claims were reduced by over 10%, relative to those of unengaged members. Delivery Partner of the Year: Infosys A perennial winner, this is the third year in a row Infosys has won a MongoDB Innovation Award. As a global leader in consulting, technology and next-generation services, this year Infosys has been working closely with MongoDB to accelerate application modernization for client organizations. A key part of this is the joint delivery of single view and mainframe modernization offerings to migrate and digitize business-critical applications away from rigid tabular databases and on to next-generation technology. In this long standing partnership, Infosys and MongoDB are already helping many large enterprises with renewing and modernizing their IT landscape. The William Zola Award for Community Excellence: Ken W. Alger Ken Alger is one of the most prolific bloggers on MongoDB's technology with dozens of posts in the past two years. He is a self-taught programmer and a teacher at Treehouse. An avid follower of open-source, he has previously sat on the board of directors of the Django Software Foundation. He is delighted to share his extensive MongoDB knowledge via his blog, Twitter, and his GitHub account. He exemplifies the true community spirit of MongoDB and The William Zola Award for Community Excellence. Savvy Startup: Radar Radar , a seed-stage startup and member of the MongoDB Startup Accelerator program, has built iOS and Android SDKs on MongoDB Atlas and AWS. As the location platform for modern apps, Radar allows developers to easily add location context and tracking to their applications. Radar currently runs on more than 25 million devices around the globe, processing billions of locations each week. Atlas: 7-Eleven 7-Eleven is continuing to redefine what convenience is. By leveraging MongoDB Atlas on AWS and a microservices architecture, 7-Eleven has built an e-commerce application called 7-Now which allows consumers to browse a product catalog connected to their local store’s inventory, make purchases on their mobile phones, and schedule in-store pick up or delivery through services like Postmates. This application not only streamlines the consumer’s experience, but also gives the 7-Eleven team extensive analytics capabilities allowing them to improve the overall customer experience. This is sure to have a major impact in their 10,000 stores in the US and Canada, and with 60% of the US population living within one mile of a 7-Eleven.
Built With MongoDB: FanPlay
Pritesh Kumar and Bharat Gupta co-founded FanPlay Technologies at the beginning of the pandemic that shook the world in 2020. With their real money gaming (RMG) product, they’ve joyfully brought thousands of people together across India in a safe way, while establishing the country’s leading gaming app. For this segment of #BuiltWithMongoDB, we spoke with Pritesh about their company’s business model, how MongoDB is working to their advantage, and what celebrities are already utilizing their platform. MongoDB: What prompted you to build FanPlay? Pritesh: The emergence of COVID-19 really prompted me into the startup world again. I’ve been a founder in the past, and I knew that at this time a lot of new companies would emerge, so I decided to be part of that. The idea for FanPlay came from observing Cameo . I was really impressed by its strong viral growth and its monetization of influencers. I think these micro influencers on the platform, although they don’t make a lot of money for a single video, can add massive value to any business. And at the same time, we were looking at the RMG industry, which was and still is the fastest-growing space in online gaming. But there is a real problem of very high customer acquisition cost. So, we put one and one together and started building an influencer-led, RMG platform. We get influencers to host real-money trivia games for the fans and followers on our platform. Typically these influencers promote their own shows on their social media platforms. They gather an audience from YouTube, TikTok, and various other channels, and then they come to our platform for the gaming experience. The audience usually pays a small entry fee. From that entry fee, a prize is created, that prize goes to the winner of the game, and from that prize we take a cut. So this is our business model. MongoDB: What was your initial vision for the product, and what does it look like today? Pritesh: The product has changed a lot from what we initially envisioned. We started with a web app initially because we thought that acquiring users on the web would be much easier, but then we launched our free Android app and it did very well. From there we launched our paid-entry model. So the product has gone through three iterations so far. In the beginning we worked a lot with Instagram influencers and realized that we needed to be working with influencers on YouTube, and specifically with people more regionally significant to India, where most of our business is at the moment. We have also expanded to hosting established faces from Instagram and YouTube. MongoDB: Can you tell us about the scale of the platform? Pritesh: Currently we work with about 500 influencers that have a lot of visibility, and we host roughly 20,000 active users daily, from India. Typically we run about 20 games per day, and we’re working to scale that to 100 per day. MongoDB: What does your tech stack consist of? Pritesh: The app is built in React Native, and the back end is Node.js. Then of course for a database we use MongoDB. MongoDB was a very clear choice for us. From a professional standpoint, as an early-stage startup, you don’t know what your product will eventually turn into, right? How will it evolve in the next six months or a year? So it’s difficult to stick to a schema. Therefore, you need a lot of flexibility. Because of our need for flexibility, SQL was out of the question, so we needed to go with NoSQL. Once we decided on NoSQL, MongoDB became the obvious choice because of the community support and documentation. As a founder, I believe in really fast execution and putting your product out there, rather than waiting for a pitch-perfect product. And that demands a lot of flexibility from the business, product, and tech sides, because we need to be able to make immediate changes based on the features that are demanded and that catch the users’ attention. With MongoDB, we are able to try a lot of product variations or tweaks very quickly. MongoDB: As you've scaled, is there a particular MongoDB feature you've benefited the most from? Pritesh: There are a few features of MongoDB Atlas that have benefitted us a lot. One is the performance metrics. It’s really really amazing, actually. You can get a very clear picture of the state of your database in a single snapshot. It helps you buy time to focus on shipping your core product and the technology behind it. It removes your focus on database management and cluster management and just does it for you right out of the box. Also, Atlas handles all of the sharding and scaling. And something that I didn’t foresee but found very useful is its scalability. Startups tend to start at a scale where the free version of any cloud product would be good enough, right? But then you quickly move into a very different kind of need and scale. It just keeps on changing! Atlas gives us that flexibility to scale up really quickly with a very minimal amount of effort. MongoDB: Have you used any of the MongoDB for Startups services? Pritesh: Yes! We had a session with a technical advisor. I found it really helpful for addressing the key features we are launching in the future, and the main challenges we are going to face when building them. I was able to discuss those and was very satisfied. The session was really good for us. MongoDB: Who is the most well-known celebrity to have hosted a game so far on FanPlay? Pritesh: The comedian Kumar Varun ! MongoDB: Who is your favorite TV or game show host? Pritesh: Amitabh Bachchan , who is a household name in India for his acting and for his role as host of Kaun Banega Crorepati (India’s Who Wants To Be A Millionaire). MongoDB: What is your favorite podcast or blog? Pritesh: The InfoQ Podcast . It goes deep into how organizations build challenging tech products. Looking to build something cool? Get started with the MongoDB for Startups program.