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.
Powered by MongoDB, Bliinx is Changing the Way Software is Sold
Regardless of the industry, sales organizations often struggle to determine the best way to identify potential customers. There are many schools of thought as to what the best approach is, and when the most opportune time a sales executive should reach out might be. One startup company aims to make that process as simple and efficient as possible. Bliinx , based in Montreal, Quebec, Canada, was created to help revenue teams focus and act on the most qualified leads and accounts based on product usage, billing, firmographic and marketing engagement data. Bliinx’s mission is to “change the way we sell software.” We spoke with Bliinx co-founders Fred Melanson and John Espinoza about starting the company, their journey, and where they see Bliinx headed in the future. How did you decide to start Bliinx? Melanson: I realized that it’s hard to build quality relationships with a lot of people, especially people that you’re trying to get investments from. I would ask people a lot of questions, and those were around relationship building and the question became how do you manage your clients relationships? Everyone would answer that they do everything manually, across siloed channels, and it’s a pain to manage and scale. So I figured there must be something there, that was really the spark that we created Bliinx on. What does Bliinx do? Melanson: We are a lead prioritization platform for bottom-up B2B SaaS, so we help sales teams - mainly account executives - to know who the best leads are at the best accounts to reach out to, and also to identify when it’s the best time to reach out to them. And the way we do that is by finding signals and insights in their sales conversations, their marketing engagement, and product usage. Our tool will plug into your system and find insights that are worth engaging on and scoring your talents and your leads, so the sales reps are focused on the best customers at the best time, without having to use generic one size fits all automation, which can be great for top of funnel SDRs, but for CSMs, who are really about nurturing, closing, and expanding revenue, it has to be more thoughtful and and more human because it’s getting harder and harder to get people’s attention and retention is immensely valuable for SaaS companies, so our tool helps us just find the best people at the best time to grow revenue faster. What are some tools that Bliinx connects with? Melanson: The basic one will plug into your email and calendar, we also have LinkedIn integration, which is pretty unique to sync your LinkedIn messages and plug into your CRM. It also connects with Slack to receive notifications and right now we are building integrations with Segment, Intercom, Stripe, and Snowflake, so reps can have product insights. We are also building new integrations for LinkedIn and Twitter so that reps can also have content marketing engagement insights to act on. Where are you right now with Bliinx? How has the journey been, have you gone through accelerators and are you funded by VC’s? Melanson: I started working on the project about a year-and-a-half, two years ago, it was really an idea out of college. So after a lot of learning, we raised an angel round really quickly, and a couple of months later we got accepted to 500 Startups. From there we raised a pre seed round and we’ve been iterating on the product, trying to really find our positioning, and find the people that have the problem, and figure out what’s the best version of the problem that we can solve. How did getting accepted into 500 Startups shape Bliinx? Melanson: It’s a game changer. I don’t think we would have been here today if it wasn’t for 500 Startups. It was an amazing experience, you’re surrounded by so many smart people, and have such an expertise that you don’t normally have access to. You get what you take out of it, so I pushed it to the max, every time there was office hours, I would take it, every time there was an investor meeting open, I would take it. I would really, really push and it got us to great results, and it’s through 500 Startups that I’ve met our lead investor. Can you tell us about your tech stack? Espinoza: I want to keep it simple, this is the main rule of the company. We've built our system with microservices, use NodeJS and NoSQL for our back-end and have built a robust back-end infrastructure to build our proprietary engines for data orchestration. The rest of our platform is built on typescript and we use MongoDB to manage our databases. How did you decide to go with MongoDB? Espinoza: My first startup, we used MongoDB, and had a great experience. We use MongoDB, and I really love it. We don’t have to care about backups, or anything to do with the infrastructure. It’s plug and play, so what’s amazing for us is I come from the background where you have to build everything. So going with the NoSQL database is fantastic because you don’t have to maintain all the schema, which can be really messy. Like I said, we try to keep it simple. What excites you now about working with Bliinx? Melanson: With the rise of companies that are product-led or marketing-led, and the fact that people are working remotely, sales is changing, and I think it’s for the better. Tools on the market need to adjust, yes people want to try it out before they buy it, but they don’t want to go through a sales rep, they still want to meaningfully connect with people in sales. And sales reps are a big part of that journey, it’s just that you don’t reach out cold to sell, you have them try it, and then you’re more of a consultant, or the hand holder through that way. So it excites me about figuring out a way for people to build meaningful connections in business, with us being so remote. Espinoza: Everything that we build in here is new for me, and that’s what excites me. Working with a lot of data coming from everywhere, and building something valuable for you, let’s do something valuable with a lot of data. This is the magic box that we build in our building, this is a great opportunity. What advice would you give to someone starting up their own company? Melanson: 99% of people just don’t start, so my main advice is to just start. That’s really what the hurdle is, that’s the toughest part, people think it’s recruiting a technical co-founder, or raising money is the toughest part, but it’s starting. You can go so far validating your idea, without having a single line of code. Espinoza: Don’t start with titles. In the beginning, you’re just people with a project. The other is to go talk to people who are doing the same thing. Finding other people to bounce ideas off of, just to validate ideas, that is something that has helped me a lot. Interested in learning more about MongoDB for Startups? Learn more about us here .