Resources

Sales Development Series: Meet the North America Account Development Team

Sales Development is a crucial part of the Sales organization at MongoDB. Our Sales Development function is broken down into Sales Development Representatives (SDRs), who qualify and validate inbound opportunities from both existing and prospective customers, and Account Development Representatives (ADRs), who support outbound opportunities by planning and executing pipeline generation strategies. Both of these roles offer an excellent path to kickstarting your career in sales at MongoDB. In this blog post, you’ll learn more about our North American outbound team, which is divided into territories covering North America West, North America Central, New York City and the Mid-Atlantic, and New England, East Canada, and the South East. Hear from Regional Manager Jordan Gregory and a few Account Development Representatives about the ADR role and how MongoDB’s sales culture enables employees to grow and succeed in their career. An overview of Account Development in North America Jordan Gregory , Regional Manager of Sales Development for New England, East Canada, and the South East Account Development at MongoDB is crucial to the success of our sales organization, being the first point of contact with all of our prospective customers. We partner with our incredibly talented Enterprise Account Executives to find new business opportunities within some of the largest and most complex organizations in the world across a broad range of industries (financial institutions, video games, telecommunications, insurance - you name it!). The Account Development team culture is one of extreme ownership. It’s about controlling what we can control, building off of each other’s strengths, enjoying working together, and holding ourselves and each other accountable for growing and failing forward every day. If you work hard, you play hard, and that culminates in a lot of fun with this incredible group! MongoDB has a growth-focused culture. Our management and Sales leadership team take learning and development seriously, and the most successful individuals on the Sales team are those who are committed to growing and learning in their role. MongoDB is an open-source data platform company, and I firmly believe that if you can sell an open-source data platform, you can sell anything. This is one of the most challenging places to sell and because of that, and the focus on growth and development, I’ve seen countless people (including myself) take their careers to new heights. The hardest part of sales is prospecting, and it’s something we train our ADRs on extensively. You’ll learn how to identify your Ideal Customer Profile, execute deep discovery and qualification, and progress deals forward to Qualified Pipeline. You’ll also go through our Sales Bootcamp and on-the-job training. Another product of the ADR program is the massive impact we have on revenue which allows folks to build their internal brand and make lifelong connections. On top of that, we have structured upskill programs to set our ADRs up for success in the next role that they’re pursuing internally, whether that's as a Cloud Account Executive, an Associate Account Executive, or other non-direct sales roles like Customer Success and Field Marketing. We’ve also had internal promotions from the Sales Development org to Sales Enablement. At MongoDB, there is a lot of mobility to progress your career in the direction you want, and you’ll be truly valued as a person rather than an employee number or a revenue target. Hear from some team members Andrew Brownlee , Account Development Representative for New York City I joined MongoDB because it seemed like a great place to start my journey to being an Enterprise Sales Executive in the software industry. The people here have a winning mentality and operate as a team when faced with a challenge. The products are world-class and we invest heavily in R&D. MongoDB also has a process called BDR to CRO that’s geared towards developing and promoting sales talent year over year. The most exciting part about working here is the opportunity ahead. To be successful at MongoDB takes conviction, drive, and curiosity. You have to be firm in your opinion that our technology can transform an organization for the best. You must have the drive to push when it's easy, and when it's hard. The best ADRs are focused on being effective with their activity day-to-day and aren't dissuaded by how easy or hard that particular quarter is. Curiosity will help you grow in your career. It’ll also help you get the respect you need amongst your stakeholders. Maria Dorsey , Account Development Representative for North America Central I joined MongoDB because I was looking for a challenging yet rewarding start to my software sales career. It was clear to me throughout the MongoDB interview process that there is a huge emphasis on growth and development which is exactly what I was looking for. During my onboarding, I received a lot of support from my team. Although learning the MongoDB value proposition, products, and sales process can seem overwhelming, my team set aside time to ensure I was ramping up successfully. My manager also took the time to listen to my concerns, talk through tech fundamentals, walk through use cases I was unfamiliar with, and was an ally that I could depend on. What makes me stay at MongoDB is the opportunity for growth, the culture of the Sales Development organization, and the collaboration with enterprise reps and management. I’ve been extremely lucky to learn from and work alongside Enterprise Account Executives, Regional Directors, and my Regional Vice President who all truly care about my growth and success. The biggest thing that makes someone successful as an ADR is their willingness and eagerness to learn. MongoDB doesn’t necessarily care if you come from a software sales background (some of the best ADRs have not), but rather your ability and eagerness to learn the tech, sales process, and stakeholder management. These characteristics are a great foundation for building a long successful career at MongoDB. Vlad Pak , Account Development Representative for North America West I joined MongoDB because I wanted to challenge myself and gain experience working in enterprise sales. MongoDB is an incredible company that offers many opportunities for personal, professional, and financial growth, but the thing that keeps me happy here is the culture. I am surrounded by driven and intelligent teammates and leadership that cares about my success. It's great to be supported from an employee-first perspective. I think the two key traits that make someone successful on my team and in my role are proactiveness and curiosity. Many of our team members are proactively sharing insights, collaborating, and facilitating engagement with each other which benefits us all and drives us to be the best ADRs we can be. Curiosity is the bread and butter of any successful sales professional and will directly impact the quantity and quality of the meetings we set, helping us attain our quotas! I am looking forward to growing my career with MongoDB in a closing role and taking on the challenge of owning my own sales cycle. It’s exciting to work for a company that is leading the charge in digital transformation and changing the way enterprises approach technological innovation. It has been a great learning experience so far, and I can’t wait to see how the organization will grow and evolve along with my career! Interested in joining the sales team at MongoDB? We have several open roles on our team and would love for you to transform your career with us!

MongoDB Atlas for Government Achieves "FedRAMP In-process"

We are pleased to announce that MongoDB Atlas for Government has achieved the FedRAMP designation of “ In-process ”. This status reflects MongoDB’s continued progress toward a FedRAMP Authorized modern data platform for the US Government. Earlier this year, MongoDB Atlas for Government achieved the designation of FedRAMP Ready . MongoDB is widely used across the Federal Government, including the Department of Veterans Affairs, the Department of Health & Human Services (HHS), the General Services Administration, and others. HHS is also sponsoring the FedRAMP authorization process for MongoDB. What is MongoDB Atlas for Government? MongoDB Atlas for Government is an independent environment of our flagship cloud product MongoDB Atlas. Atlas for Government has been built for US government needs. It allows federal, state, and local governments as well as educational institutions to build and iterate faster using a modern database-as-a-service platform. The service is available in AWS GovCloud (US) and AWS US East/West regions. MongoDB Atlas for Government Highlights: Atlas for Government clusters can be created in AWS GovCloud East/West or AWS East/West regions. Atlas for Government clusters can span regions within AWS GovCloud or within AWS. Atlas core features such as automated backups, AWS PrivateLink, AWS KMS, federated authentication, Atlas Search, and more are fully supported Applications can use client-side field level encryption with AWS KMS in GovCloud or AWS East/West. Getting started and pricing MongoDB Atlas for Government is available to Government customers or companies that sell to the US Government. You can buy Atlas for Government through AWS GovCloud or the AWS marketplace . Please fill out this form and a representative will get in touch with you. To learn more about Atlas for Government, visit the product page , check out the documentation , or read the FedRAMP FAQ .

Mainframe Data Modernization with MongoDB Powered by Wipro's "ModerniZ" Tool

This post will highlight a practical and incremental approach to modernizing mainframe data and workloads into cloud-hosted microservices using MongoDB’s modern, general purpose database platform. Enterprises modernize their mainframes for a number of reasons—to increase agility, lower the risk of aging legacy skills, and reduce total cost of ownership (TCO). But the greatest underlying benefit and reason for modernization lies in a company’s ability to access and make sense of their own data more quickly. Gleaning valuable business insights through the use of real-time data and AI/ML models is at the heart of today’s most successful and innovative companies. Consider the following business processes and their reliance on real-time insights: Real-time fraud detection, KYC, and score calculation Supporting new API requirements – PSD2, Open Banking, Fintech APIs etc Payment pattern analysis Moving away from hundreds of canned reports to template-based self-service configurable reporting Real-time management reporting With the continued emergence of mobile and web apps, enterprises are looking to render content even faster, as well as scale up and down on demand. However, mainframes often serve as the true system of record (SoR) and maintain the golden copy of core data. In a typical enterprise, inquiry transactions on the mainframe contribute to over 80% of the overall transaction volume—in some cases up to 95%. The goal for organizations is to increase the throughput of these inquiry transactions with improved response time. However, during real-time transaction processing, middleware must orchestrate multiple services, transform service response, and aggregate core mainframe and non-core applications. This architecture prevents the legacy services from seamlessly scaling on-demand with improved response time. At the same time, CIOs have significant concerns around the risks of big bang mainframe exit strategies, especially in the financial services, insurance and retail sectors where these complex applications serve the core business capabilities. Wipro and MongoDB’s joint offering, “ModerniZ,” can help alleviate these risks significantly by introducing a practical, incremental approach to mainframe modernization. An incremental solution: Offloading inquiry services data with ModerniZ To keep up with changing trends in an agile manner, and to bridge the gap between legacy monoliths and digital systems of engagement, a tactical modernization approach is required. While complete mainframe modernization is a strategic initiative, offloading inquiry services data and making it available off the mainframe is a popular approach adopted by several enterprises. Below are a few business requirements driving mainframe data offload: Seamlessly scale volume handling by up to 5X Improve response time by up to 2X Reduce mainframe TCO by up to 25% Direct API enablement for B2B and Partners (change the perception of being antiquated) Improve time to market on new enhancements by up to 3X Provision separate security mechanism for inquiry-only services Access single view data store for intra-day reporting, analytics and events handling These business requirements, as well as the challenges in current mainframe environments, warrant an offloaded data environment with aggregated and pre-enriched data from different sources in a format which can be directly consumed by channels and front-end systems. This is where our joint offering for mainframe modernization with MongoDB and Wipro’s ModerniZ tool comes into play. ModerniZ is Wipro’s IP platform specially focused on modernizing the UI, services and data layer of System Z (Mainframe). ModerniZ has multiple in-house tools and utilities to accelerate every phase of the legacy modernization journey. Let’s dig deeper into the solution elements. "CQRS with ModerniZ" for transactional and operational agility Command Query Responsibility Segregation (CQRS) is an architectural principle that can prescribe an operation as a ‘command,’ which performs an action, or a ‘query,’ which returns data to the requestor—but not both. CQRS achieves this by separating the read data model from the write data model. Separation of these two operations in a business process helps optimize performance, reduce the cost associated with inquiry transactions, and create a new model which can grow vertically and horizontally. MongoDB, with its document model and extensive set of capabilities, is best suited to house this offloaded ‘read data model.’ MongoDB’s JSON/BSON document model helps in pre-enriching the data and storing it in ‘inquiry ready’ format which simplifies the overhead for the front-end consumers. Enterprise use cases for CQRS: Customer demographic information – e.g. monetary and nonmonetary transaction inquiries in banking and financial services Payer view – Healthcare Single view across policy administration engines and pricing engines Consolidated participant view in benefit administration platforms Single view of manufacturing production control systems across plants or countries The below process indicates the step-by-step approach in enabling CQRS by offloading the data and transactional volumes into a modernized landscape, and continuously syncing the data (based on the business criticality) across platforms. Figure 1. Mainframe data modernization process The visual below indicates the conceptual target architecture where the service delivery platform (API/Middleware layer) identifies and routes the transaction to the respective systems. Any update which happens in the legacy system will be cascaded to the target MongoDB based on the business criticality of the fields. Figure 2. Post data modernization process view Mainframe services will continue to get exposed as domain APIs via zCEE for the Command Services (Update Transactions) and the newly built microservices will serve the inquiry transactions by fetching data from MongoDB. Any data updates in the mainframe will be pushed to MongoDB. The below table indicates how different fields can be synced between the mainframe and MongoDB, as well as their corresponding sync intervals. Java programs/Spark consumes the JSON document from Kafka Cluster, merges into MongoDB and creates new documents. table, th, td { border: 2px solid black; border-collapse: collapse; } Sync Type Field Classsification Sync Strategy Type-1 Near Real Time Sync for critical fields Using Kafka Queues / CICS Event Triggers / DB2 / 3rd Pardy CDC Replicators / Queue Replicators Type-2 Scheduled Batch Polling sync for less critical fields Using Mini Intra-day Batch / Replicators / ELT Type-3 EoD Batch sync for non-critical fields Batch CDC Sync Sync / Update / ELT How MongoDB and Wipro's ModerniZ helps Wipro’s ModerniZ platform provides multiple tools to accelerate the modernization journey across phases, from impact analysis to design to build to deployment. For data modernization, ModerniZ has 5 tool sets like PAN (Portfolio Analyzer), SQL Converter, automated data migration, and so on—all which can be leveraged to yield a minimum committed productivity gain of 20%. Figure 3. Mainframe to cloud transformation using ModerniZ Why MongoDB for mainframe modernization? MongoDB is built for modern application developers and for the cloud era. As a general purpose, document-based, distributed database, it facilitates high productivity and can handle huge volumes of data. The document database stores data in JSON-like documents and is built on a scale-out architecture that is optimal for any kind of developer who builds scalable applications through agile methodologies. Ultimately, MongoDB fosters business agility, scalability and innovation. Some key benefits include: Deploys across cloud in nearly all regions Provides a document model that is flexible and maps to how developers think and code Costs a fraction of the price compared to other offloading solutions built using relational or other NoSQL databases and even a larger, sharded MongoDB environment brings magnitudes of savings compared to the traditional mainframe MIPS-based licensing model Allows complex queries to be run against data via an extremely powerful aggregation framework. On top of that, MongoDB provides a BI connector for dedicated reporting/business intelligence tools as well as specific connectors for Hadoop and Spark to run sophisticated analytical workloads Offers enterprise-grade management through its EA product and includes security features which cover all areas of security – authentication, authorization, encryption and auditing. Competitors often only offer a subset of those capabilities Provides a unified interface to work with any data generated by modern applications Includes in-place, real-time analytics with workload isolation and native data visualization Maintains distributed multi-document transactions that are fully ACID compliant MongoDB has successfully implemented mainframe offloading solutions before and customers have even publicly talked about the success (e.g. a top financial service enterprise in the EU) Roadmap and contact details Work in progress on offloading mainframe read workloads to GCP native services and MongoDB. Contact partner-presales@mongodb.com for more information.

Serverless Instances Now Offer Extended Regional and Cloud Provider Support

Today’s applications are expected to just work, regardless of time of day, user traffic, or where in the world they are being accessed from. But in order to achieve this level of performance and scale, developers have to meticulously plan for infrastructure needs, sometimes before they even know what the success of their application may be. In many cases, this is not feasible and can lead to over provisioning and over paying. But what if you could forgo all of this planning and the database would seamlessly scale for you? Well, now you can - with serverless instances on MongoDB Atlas. Since we announced serverless instances in preview at MongoDB.live we have been actively working toward implementing new functionality to make them more robust and widely available. With our most recent release, serverless instances now offer expanded cloud providers and regions, and support MongoDB tools. Deploy a serverless instance on the cloud provider of your choice With our dedicated clusters on MongoDB Atlas, you have the flexibility to run anywhere with global reach on the cloud provider of your choice, so you can deliver responsive and reliable applications wherever your users are located. Our goal is to provide this same flexibility for serverless instances. We’re happy to announce that you can now deploy a serverless instance in ten regions on AWS, Google Cloud, and Azure. You’ll see when deploying a serverless instance there are now more regions supported on AWS, as well as two available regions on both Google Cloud and Azure - so you can get started with the cloud provider that best suits your needs or the region that’s closest to you. We will be continuing to add new regions over time to ensure coverage where you need it most. Easily import your data with MongoDB tools With this release, we have also made it easier to work with your data. You can now easily import data from an existing MongoDB deployment using the MongoDB Tools including mongodump, mongorestore, mongoexport , and mongoimport . In order to use MongoDB tools with serverless instances, you will need to be using the latest version . If you have additional feature requests that would make your developer experience better, share them with us in our feedback forums . Database deployment made simple With serverless instances, you can get started with almost no configuration needed - MongoDB Atlas will automatically scale to meet your workload needs, whether you have variable traffic patterns or you’re looking for a sandbox database for your weekend hobby project. If you haven’t yet given serverless instances a try, now is a great time to see what they can offer. If you have feedback or questions, we’d love to hear them! Join our community forums to meet other MongoDB developers and see what they’re building with serverless instances. Create your own serverless instance on MongoDB Atlas. Try the Preview .

October 19, 2021

Capitalising on Connection: An IoT Discussion with AWS, Cloudflight, and MongoDB

10am BST | 11am CEST | 12pm IDT | 2.30pm IST The benefits of IoT have the recognised potential to unlock an entirely new set of mission critical use cases, and therefore business lines across nearly all industries. A successful IoT implementation not only means the possibility of delivering on a more robust go-to-market and revenue strategy, but also enabling a more complete end-to-end service offering for customers. But is all of this potential laden with risk? As the volumes of data being collected continue to increase exponentially, so too will the requirements to analyse, act upon, and deliver that data in real-time. Join us on October 19th at 10am BST for Capitalising on Connection: An IoT Discussion with AWS, Cloudflight, and MongoDB where you’ll hear from 3 major technology innovators on: How IoT is being shaped by consumer needs and modern technology innovators alike How to avoid the increasing complexity, technological debt and cost of data duplication and integration activities Why 5G Edge and lower latency processing and inference are drastically altering the market Who’s already expanding their go-to-market and revenue strategies by leveraging IoT technologies We'll be joined by panelists: Bala Thekkedath, Head of Product Marketing, AWS Wavelength, Amazon Web Services Dr. Stefan Ried, Principal Analyst & Practice Lead, Market Strategy, Cloudflight Steve Dalby, Principal, Industry Solutions, Telecommunications, MongoDB Gabriela Preiss, Sr. Industry Consultant, MongoDB

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October 19, 2021

Capitalizing on Connection: An IoT Discussion with AWS, Cloudflight, and MongoDB

9am PDT | 11am CDT | 12pm EDT The benefits of IoT have the recognized potential to unlock an entirely new set of mission critical use cases, and therefore business lines across nearly all industries. A successful IoT implementation not only means the possibility of delivering on a more robust go-to-market and revenue strategy, but also enabling a more complete end-to-end service offering for customers. But is all of this potential laden with risk? As the volumes of data being collected continue to increase exponentially, so too will the requirements to analyze, act upon, and deliver that data in real-time. Join us on October 19th at 11am CDT for Capitalizing on Connection: An IoT Discussion with AWS, Cloudflight, and MongoDB where you’ll hear from 3 major technology innovators on: How IoT is being shaped by consumer needs and modern technology innovators alike How to avoid the increasing complexity, technological debt and cost of data duplication and integration activities Why 5G Edge and lower latency processing and inference are drastically altering the market Who’s already expanding their go-to-market and revenue strategies by leveraging IoT technologies We'll be joined by panelists: Bala Thekkedath, Head of Product Marketing, AWS Wavelength, Amazon Web Services Dr. Stefan Ried, Principal Analyst & Practice Lead, Market Strategy, Cloudflight Steve Dalby, Principal, Industry Solutions, Telecommunications, MongoDB Gabriela Preiss, Sr. Industry Consultant, MongoDB

Save your seat →