2017 MongoDB Innovation Award Winners

MongoDB
June 19, 2017 | Updated: July 7, 2017
#Customer Stories

MongoDB received an overwhelming number of nominations for the fourth annual MongoDB Innovation Awards, recognizing companies who are using MongoDB to dream big and deliver incredibly bold, innovative solutions for their business and industry.

We are thrilled to announce our 13 winners who will be honored at MongoDB World 2017, June 20-21 in Chicago.

See the full list and read a bit more about how they are disrupting the status quo here:

Healthcare Category: Experian Health

Experian Health helps customers make smarter business decisions, build a better bottom line and foster stronger patient relationships for more than 3,200 hospitals and 7,100 healthcare organizations, representing more than 500,000 healthcare providers. The team recently launched the Universal Identity Manager (UIM), a patient identifier system built on top of MongoDB that brings together data from disparate databases, systems and data formats to create a single view of a patient. The UIM improves the safety, speed, quality, and cost of care for patients and caregivers alike.

The Startup Enterprise: Nuxeo

Working with MongoDB, Nuxeo built an entirely modern, cloud native, Content Services Platform - that enables customers to easily transform data into highly valuable digital assets, supporting their Digital Transformation initiatives. Native integration into business and productivity applications means customers can work the way they want without disrupting their operations.

MongoDB is helping Nuxeo's largest customers exceed their most demanding scalability, performance and high availability requirements. Using MongoDB Enterprise Advanced, Nuxeo has seen a 10x improvement in bulk import throughput, stored more than 1B documents on a single cluster, and secured an import rate of more than 30K documents per second.

Internet of Things: Orbita

Orbita is an innovator of connected home healthcare solutions that increase patient engagement, improve patient outcomes, and reduce costs for the patient and healthcare provider alike. Building on top of voice-powered assistants such as Amazon Echo and Google Home, the team created Orbita Voice™, the first healthcare-centric solution designed to create interactive voice experiences that can survey patients, provide medical education, share activity reminders, monitor compliance, and more. Furthermore, Orbita Engage™, a first-of-its-kind IoT platform built for comprehensive care management, allows organizations to create, deploy, and manage HIPAA-compliant applications that combine data from wearables and other sensor-embedded devices into collaborative care experiences. Features include:

Rule-based triggers for rapid intervention based on real-time data and insights
User engagement tracking
Visualizations and built-in analytics that help shape responses to user inputs

Leveraging MongoDB Enterprise Advanced, Orbita securely ingests massive volumes of IoT data, adapts to changing data requirements, and helps organizations provide patients with high quality, cost-effective, and personalized care and support.

The Enterprise Startup: Pivotal

Pivotal Cloud Foundry, Pivotal's flagship software product, is the world's most powerful cloud-native platform used by organizations to rapidly develop and run modern and legacy applications at startup speeds. As a result, Pivotal works with over one-third of the Fortune 100, and a rapidly growing portion of the Fortune 2000. Moreover, Pivotal's continued customer momentum is accelerated by its growing partner ecosystem—highlighted by collaborations with companies such as MongoDB. MongoDB Enterprise is integrated as a service broker on Pivotal Cloud Foundry via Ops Manager, allowing dynamic on-demand provisioning of MongoDB service instances across hybrid clouds in standalone, replica set, or sharded cluster configurations.

The joint solution drives rapid application development by reducing the friction between development and IT Operation teams. Developers are able to instantly provision MongoDB instances in a self service manner, without worrying about the complexities of configuring the underlying infrastructure. Simultaneously, IT Operation teams can seamlessly monitor, manage and scale MongoDB instances to ensure high service levels. Together, Pivotal and MongoDB offer the promise of an automated platform to build and run cloud-native applications, at scale.

MongoDB Atlas: InVision

InVision is the world’s leading design collaboration platform. Leveraging MongoDB Atlas as the multi-tenant solution for JSON messages, InVision built a highly collaborative design platform in the cloud that allows people around the world to have access to their designs at the speed of light and without a single line of code. Companies like IBM, Airbnb, Visa, Netflix and Evernote trust InVision to unlock the power behind design-driven product development.

Panera Bread: Launch Fast

Panera Bread uses MongoDB to help power U.S. e-commerce applications. This has helped Panera ensure their apps are available and response times are optimized.

Partner of the Year: Infosys

Infosys, a global leader in consulting, technology and next-generation services, partnered with MongoDB to launch a 1000+ consultant practice coupled with a robust center of excellence to help enterprises accelerate their digital transformation and application modernization initiatives. Infosys and MongoDB not only help organizations address the key pain points of cost, performance and scalability across legacy applications, but also respond to changing business needs by building new digital capabilities. As part of the partnership, Infosys and MongoDB are already helping many large enterprises with renewing and modernizing their IT landscape.

Customer Experience: Cisco

Cisco is the worldwide leader in IT that helps companies seize the opportunities of tomorrow. One important part of the business is Cisco’s eCommerce Platform which serves 140,000 global users across Cisco’s sales team, partner employees, and customer employees. This is a mission critical platform supporting $40+B of Cisco’s business. In order to tap into the agility of the cloud and improve the customer experience Cisco migrated to MongoDB. This change is helping developers get new applications live quicker, providing better scalability and giving customers a greatly improved experience by improving response times to users by 5x. Cisco’s commitment to excellence and embrace of cloud-native technologies has dramatically improved how its most important clients interact online.

Scale: Phreesia

Phreesia is at the forefront of improving the patient experience and organizational efficiency by helping healthcare providers better manage the patient intake process so they can focus on what they do best: rich doctor-patient interactions and high-quality treatment. MongoDB powers one of Phreesia’s most important applications – the eligibility application – that covers the gamut of the ‘run-up appointment’ process and allows patients to proactively pre-register, manage copayments, and ensure all their personal contact, medical history, and insurance information is accurate, up to date, and secure. Phreesia manages intake for over 50 million patients annually and has checked in more than 15% of the U.S. population.

Data driven business: HSBC

A digital revolution is happening at HSBC. As one of the world's largest banking and financial services organizations, the company is building global digital solutions that will help millions of customers worldwide to manage their personal and business finances. The drive for digital innovation comes as part of a series of strategic actions set out by HSBC’s board to adopt technology that makes HSBC simpler, better and faster. An example of that is how two HSBC trading IT teams are migrating away from relational databases to MongoDB as a technology to help simplify, migrate and manage complex data change. This technology shift is happening in tandem with a philosophical shift to an agile development and devops culture, enabled in part by MongoDB’s flexibility and scalability.

Modern Enterprise Architecture: IHS Markit

IHS Markit (Nasdaq:INFO), whose customers include 85% of the Fortune Global 500, is a world leader in information, analytics and solutions for the major industries and markets that drive economies worldwide. The company’s Data Delivery Service gives businesses access to more than 50 different streams of data including bonds pricing, commodities data and securities information. The service is powered by a complex infrastructure originally built on a relational database. However, growing data volumes and new requirements mandated a faster and more scalable solution. To solve that challenge and get new applications to market quickly, IHS Markit migrated its Data Delivery Service to MongoDB. The results have been impressive, with some financial data being delivered as much as 250x faster than it was previously.

Single View: Barclays

Barclays is solving one of the trickiest challenges facing any enterprise: a true 360 degree view of the customer with a platform that gives all support staff a complete single-view of every interaction a customer has had with the bank – including branch interactions, telephone banking, fraud detection alerts, outbound transactions, and more. This is helping Barclays drive customer interactions to new digital channels and improve the customer experience.

Zola Award Winner: Robert Fehrmann

Robert Fehrmann is a Senior Architect at Snagajob, a site that aims to put people in the right fit positions so they can maximize their potential and live more fulfilling lives. Robert has been working with Database technologies for over 30 years. Back then the newest kid on the block was Oracle. Over the years Robert has worked on countless applications, big and small, development and administration, always staying close to the data tier.

Since bringing MongoDB to Snagajob in 2011, Robert has taken almost all the courses at MongoDB University, has been a founding member of the Richmond MUG (MongoDB User Group), which celebrated it's 4th anniversary in October of last year. And when Snagajob opened an office in Arlington, VA, Robert joined the Washington DC MUG, became a co-organizer and convinced Snagajob to provide the community with the same support for the DC community that the Richmond community has enjoyed for years.

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MongoDB Certified Professional Spotlight: Néstor Campos Rojas

This week we’re talking with Néstor Campos Rojas , a Software Architect working at Metric Arts , a BI consulting company based in Santiago, Chile. Néstor is a MongoDB Certified Developer, and was excited to share the different projects he’s worked on since becoming certified, tackling everything from fraud and security management in public transportation, and even the Chilean wine scene! Eloise Giegerich : Hi, Néstor, thank you for taking the time to share your story today! Let's start by getting into your tech background. When did you first become interested in tech, and why did you decide to pursue the field? Néstor Campos Rojas : Hi, Eloise, thanks for this interview. My interest in technology first developed when I was 16. I felt that studying and pursuing a career in the area really fit with my mentality, since I have always been someone who likes to learn, and I like to work on different things at the same time. For instance, my current job allows me to work with databases, in Web programming, and much more. EG : That’s a good transition into my next question. Where do you currently work? What is your role, and what do you like about it? NCR : Currently, I work in Santiago, Chile, as a Software Architect at Metric Arts. I like working for my company because they support me in my professional goals, which include everything from aspiring to develop my own company (I have many ideas in my mind for this), to honing my speciality in advanced programming, specifically Big Data and Machine Learning. My colleagues are also excellent; I learn a lot from them every day and they help me develop new projects, as well as improve current ones. EG : How did you first discover MongoDB? What projects have you used or are you in the process of using with MongoDB? NCR : I discovered MongoDB when I was researching new technologies for Web development (NodeJS and MEAN stack). At Metric Arts, we understand that we can’t limit ourselves, or be “stuck” to one particular technology when tackling many different developments; each development and greater project needs to be covered by one or more technology. So, it was in my search for this something new that I started to develop Web services connected to MongoDB in order to test and check the database’s speed and flexibility with data manipulation. One of the successful test projects I worked on with MongoDB involved a notification delivery system. Through an API that I developed, outside systems and applications were able to connect and send various notifications by email or SMS, alerting users to upcoming events. Because these events were diverse, I needed something with a variable structure; that’s where MongoDB came in as the solution. EG : What other databases have you worked with, and how does MongoDB compare? If possible, we would love to hear about some specific features you like and/or dislike. NCR : I have worked with relational databases and MongoDB, but I do not like to compare them; although they both have certain similar functions, the approaches and means through which I address and work with each are quite different. In some projects when I need consistency and data relationship, I use relational databases; when I need flexibility and scalability, I opt for MongoDB. For example, for projects with data from sensors (Arduino, Raspberry, etc.), such sensors can send large volumes of information in a short period of time and the data are very varied from each other. We knew that trying to normalize the data would be too complicated, and therefore focus on saving the data regardless of its origin and structure, with processing later if needed. This particular use case needed both the flexibility and scalability of MongoDB; I see those as the key advantages of MongoDB with respect to other engines in the market. EG : What inspired you to become MongoDB certified? NCR : With the modeling approach offered through document databases and the many possibilities that are opening up in the Big Data world, MongoDB was the perfect gateway to new challenges. I also saw MongoDB as an innovator in the database world, and knew that if I perfected my knowledge of it, I could more easily prepare myself for technologies whose concepts were similar. EG : Could you share which courses you took to prepare for your exam? NCR : I studied directly from the MongoDB documentation, then did courses M102 , M101JS , and M101P . The courses were practical and gave very detailed instructions on the concepts that would appear on the exam. Because I am now involved in more Big Data projects where I need to apply database optimization and integration with other platforms (Hadoop, Spark), I am studying the M201 and M233 courses. EG : Since becoming certified, what have been some of the benefits – personal or professional – that you’ve experienced? How have you applied, or how do you intend to apply, what you’ve learned to your future projects? NCR : MongoDB certification has allowed me to participate in strategic projects in my company, and to lend my support to other projects, both by proposing architectures and offering advice to programmers. One of the projects where I’ve been able to apply my MongoDB knowledge is Metric Arts’s Video Analytics , due to its size and range of data possibilities; here, I’ve worked on supporting security issues through camera and fraud detection in public transport. I’ve also applied MongoDB to a couple of Web projects where I saw the need for a flexible and scalable data model. Presently, I am using MongoDB with Internet of Things (IoT) and Smart City projects to record the information of sensors in different areas and situations. One of these IoT projects involves implementing measures to control crops in Chilean vineyards; this is especially important, because Chile is one of the largest wine producers in the world. Here, where the data of the sensors is varied and lacking defined structure, a NoSQL database is fundamental; MongoDB fulfills the objective of storing and processing data in a more agile way. EG : For those about to take or retake their exam, do you have any advice or tips that helped you prepare? NCR : I have several certifications, but with MongoDB, I found the preparation much better – that is, the available material the strongest – since the documentation available on the website paired with the courses cover 100% of the certification subjects. This was not always the case with other certifications. EG : And finally, what has been your greatest takeaway from your certification experience? What advice or encouragement do you have for those considering pursuing certification? NCR : The experience was great! From a web development specialist standpoint, I was able to understand more about the databases I work with, and familiarize myself with the corresponding tools. I would advise those preparing for a MongoDB certification to not only read the documentation, but practice taking on projects that have been developed in a relational database environment, and apply it to MongoDB; this will give them a new perspective on the treatment of data, and it is an important step towards tackling Big Data. Thanks again for taking the time to talk with us, Néstor! If you’re interested in getting professionally certified, you can learn more about the MongoDB certification process . If you’re already certified and would like to share your story, let us know at certification@mongodb.com .

June 16, 2017

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Influencing Product Strategy at MongoDB with Garaudy Etienne

Garaudy Etienne joined MongoDB as a Product Manager in October of 2019. Since then, he’s experienced tremendous growth. Successful deliveries of MongoDB 4.4 features and MongoDB 5.0 sharding features helped fuel Garaudy’s career development, as did his work establishing a long-term sharding vision, mentoring others, and successfully managing interns. Now, as a Director of Product, he’s defining the strategic direction across multiple products and helping grow our product management organization and culture. Read on to learn more about Garaudy’s experience at MongoDB and his expanding team. A team with impact My team focuses on distributed systems within MongoDB's core database functions, also known as the database engine. Our team ensures the database is reliable and scalable for our most demanding customers. We ensure the product consistently performs as promised, especially at scale. MongoDB's dependability drives greater usage, which enhances our revenue and brand perception. The problems my team works on are vast and relatively undefined. These include revamping our Go-To-Market strategy for new and existing features, guiding the engineering team on architectural decisions driven by customer demands, identifying target markets, and assisting customers in challenging situations. MongoDB and AI We’re in the early stages of the AI boom. MongoDB’s document model is particularly well-suited for this era, as it excels in handling unstructured data, which makes up the majority of today’s information. As AI increasingly relies on diverse formats like text, images, and videos, our flexible schema enables efficient storage and retrieval of unstructured data, enabling applications to extract valuable insights. Our vector search capability enables fast, complex data matching and retrieval, making it ideal for AI-powered applications. This synergy between MongoDB’s document model plus Vector Search and the needs of AI-driven applications positions us as a powerful foundation for companies looking to enable AI into their workflows. The beauty of working in the core database is that it has to support every workload, including the new and expanding Vector Search applications. This means we need to ensure the database remains robust and scalable as AI demands evolve. Some examples are helping develop a more scalable architecture for Search or a new networking stack for Search. No matter what new capabilities MongoDB decides to deliver or the new markets we enter, everything must pass through the core database. This also allows you to meet lots of people and understand everything the company is doing instead of working in a silo. A rewarding career in product MongoDB is committed to career development, something I’ve experienced first-hand. The company has provided me with development opportunities through product management-specific training with Reforge, conferences, direct engagement with critical customers, and leadership training. As a product manager, I was offered mentorship and coaching with multiple experienced product leaders who provided guidance and support as I worked toward promotions. The company clearly communicates the expectations and requirements for advancement within the product management organization. Reflecting on my journey at MongoDB, I still remember the first two features I PM’d: Hedged Reads and Mirrored Reads. One of my first major highlights was presenting at the MongoDB 5.0 keynote to showcase resharding. Seeing genuine excitement from customers and internal teams about this new feature was incredibly fulfilling and reinforced its value. While the keynote was a public milestone, another personal highlight came when I finally visited one of my engineering teams in Barcelona after nearly two years of remote collaboration. This in-person time was invaluable and helped us bring the groundbreaking sharding changes for MongoDB 6.0 to the finish line. Most recently, defining the key strategic pillars for MongoDB 8.0 and allowing other product managers to take ownership of key initiatives has been more rewarding than I imagined. MongoDB’s engineering team is extremely talented, and collaborating with them always brings me tremendous joy. The most recent highlight of my career has been building a diverse product team and helping other product managers make a larger impact than they previously envisioned. Why MongoDB What keeps me at MongoDB is the opportunity to tackle significant challenges, make autonomous decisions, own multiple products, and take on greater leadership responsibilities. MongoDB also rewards and recognizes product managers who drive meaningful impact across the organization and its products. If these opportunities excite you, you'll thrive as part of MongoDB’s product management team! For my team, I’m committed to providing the right balance of guidance and autonomy. Your decisions will have a lasting impact at the executive and organizational levels, creating continuous opportunities to excel and deliver meaningful results. Plus, I always try to make the job fun. Head to our careers site to apply for a role on Garaudy’s team and join our talent community to stay in the loop on all things #LifeAtMongoDB!

November 25, 2024