GIANT Stories at MongoDB

Stratifyd & MongoDB: AI-Driven Business Insights to Keep Customers Happy

2017 was a banner year for MongoDB's partner ecosystem. We remain strategic about engaging with our channels, and the results are validating our approach. Our strong network of ISVs, global system integrators, cloud, resellers, and technology partners is a competitive differentiator that helps us scale.

We are especially excited about the innovation and growth in store for our ISV business in 2018. It's already off to a great start. Our newest ISV partner Stratifyd is a fantastic example of how platforms built around MongoDB address serious market needs with the most cutting-edge, innovative technology.

Stratifyd is an end-to-end customer analytics platform powered by AI. The platform provides competitive advantages to some of the most recognized brands in the world. LivePerson, Etsy, MASCO, Kimberly-Clark, and many more rely on Stratifyd for a 360-degree view of their end customers.

Stratifyd analyzes customer interactions such as online reviews, social media posts, phone calls, emails, chats, surveys, CRM data, and more to turn them into actionable business insights which increase customer acquisition and retention, which is critical to the continued success of Stratifyd’s clients. In addition to these benefits, Stratifyd is just a flat-out cool implementation of AI.

I caught up with Stratifyd's CTO, Kevin O'Dell, to discuss the data technology behind the platform, and how MongoDB drives value for their customers.


For anyone that isn’t familiar with Stratifyd yet, how do you describe the platform?

Stratifyd uses human generated data to analyze, categorize, and understand intent with the purpose of changing human behavior. This changes the way brands interact with their customers, but also the way customers interact with brands, increasing customer acquisition and raising retention rates.

What was the genesis of the company? Why did you set out to build this?

Stratifyd was a result of postdoctoral research done at the University of North Carolina, Charlotte. Our founders were researching how AI could analyze unstructured data. During their research, they discovered strong business and government use cases. The founding team was working with numerous three letter agencies on predicting terrorist and disease movements globally. They were able to raise millions of dollars in funding from these agencies. The demand for a product organically grew from there, which led to the development of the Stratifyd platform.

I love the insights Stratifyd can provide – how would you describe the unique advantages that Stratifyd gives its customers?

Stratifyd provides near real-time business intelligence for contact center, marketing, product, and customer experience teams, all based on customer interactions. These insights enable businesses to be proactive rather than reactive in regard to business strategy. Stratifyd customers are able to respond to customer requests, complaints, or general feedback in near real time, changing the way companies interact with their end users. For example, we have empowered a customer with the knowledge to launch a new product line. Another customer gained insights that fundamentally changed how they are rolling out a 700+ million-dollar brand in a new continent.

What kind of feedback are you getting from customers that have deployed Stratifyd in their businesses?

Our customers love using our platform. They are surprised at how simple it is to use, and how powerful it is. They really appreciate how Stratifyd is making AI and machine learning meaningful for them in their day-to day-lives. Stratifyd helps ensure measurable results from day one. Speaking of implementation, they REALLY love that we don’t just use the term day one figuratively – customers are up and running in less than a day.

Talk to me about how you landed on MongoDB. What were you looking for in a database, and what problems were you having before moving to MongoDB?

That's an easy one to answer: speed and flexibility. Stratifyd ingests data from hundreds of sources. We needed a database that could keep up with high read and write request rates while handling a flexible schema. The hardest problem we were trying to solve was lack of secondary indexes; with those, MongoDB accelerated our query response times by at least 100x.

Can you share any best practices for scaling your MongoDB infrastructure? Any impressive metrics around the number of interactions, the volume of reads / writes per second, response times?

As a SaaS-first platform, being always-on is a HUGE best practice for us. MongoDB’s innate replication and failover abilities ensured less than 17 minutes of total downtime last year! Using MongoDB as our backend system, our AI can process a quarter of a million words in less than a minute.

How do you measure the impact of MongoDB on your business?

Our business wouldn’t be able to succeed without MongoDB. The uptime, failover, query response times, secondary indexes, and dynamic schemas have empowered most of Stratifyd’s key differentiators.

What advice would you give someone who is considering using MongoDB for their next project?

With all projects, I recommend truly understanding the requirements for the end results. There is a ton of excellent technology out there, but picking the wrong one can be detrimental to project success. Always run numerous tests, comparing different stacks to make sure you find the right one and fail fast on the wrong technology stack.

Stratifyd has some impressive customers, from the Fortune 500 to some really innovative startups: what’s next for the company?

We have some pretty big things planned for 2018. We're now providing more than just actionable intelligence; we are now streamlining and automating workflows. We are closing the customer feedback loop, which enables us to plug Stratifyd into any business process quickly to deliver measurable results.

Accenture Insights Platform now offering MongoDB

Alan Chhabra


For years, Accenture and MongoDB have been committed to enabling organizations to leverage the power of data to gain a competitive edge. Today, we are excited to announce the availability of MongoDB Enterprise Server as part of the Accenture Insights Platform (AIP).

Transforming Customer Experiences with Sitecore and MongoDB Enterprise

Modern customers live across multiple channels, creating data with every tweet, comment, swipe, and click. They expect deep personalization based on their interactions with a company's brand and won’t settle for anything less than instant gratification. Customer data is a company’s lifeblood. But it can’t help a company if it’s strewn across an organization, locked away in siloed systems. Designed to alleviate IT organizations’ data burden and empower marketers, Sitecore Experience Database (xDB) is a Big Marketing Data repository that collects all customer interactions, connecting them to create a comprehensive, unified view of the individual customer.

Sitecore is a leader in this space and their product makes data available to marketers in real-time, for automated interactions across all channels. xDB is a critical component of Sitecore Experience Platform™, a single platform that allows you to create, deliver, measure, and optimize experiences for your prospects and customers. xDB is powered by MongoDB, and collects and connects all of a customer’s interactions with a company's brand - including those on other customer-facing platforms such as ERP, CRM, customer service, and non-Sitecore websites, creating comprehensive, unified views of each customer. Those views are available to your marketers in real-time to help you create catered customer experiences across all your channels. Sitecore is one of our best and most strategic partners and we are proud to state the relationship is stronger than ever.

Recently, Sitecore launched Sitecore® Experience Platform 8.2, which includes new features such as advanced publishing, e-commerce enhancements, and data-at-rest encryption. Encryption is critical component of any application and as a best practice Sitecore recommends that all xDB deployments encrypt-data-at-rest. MongoDB provides a comprehensive native at-rest database encryption through the WiredTiger storage engine. There is no need to use 3rd party applications that may only encrypt files at the application, file system, or disk level. MongoDB’s WiredTiger storage engine is fully integrated and allows enterprises to safeguard their xDB deployments by encrypting and securing customer data-at-rest.

MongoDB is the leading non-relational database on the market and an integral part of xDB. It is the ideal database for collecting varied interactions and connecting them to create a “single view” of your customers.

Store and analyze anything

Instead of using rows and columns, MongoDB stores data using a flexible document data model, allowing you to ingest, store, and analyze any customer interaction or data type.

Scale without limit

MongoDB enables you to handle up to hundreds of billions of visits or interactions per year. When your deployment hits the scalability limits of a single server (e.g., the CPU, memory, or storage is fully consumed), MongoDB uses a process called sharding to partition and distribute data across multiple servers. Automatic load balancing ensures that performance is consistent as your data grows. The database runs on commodity hardware so you can scale on-demand while keeping costs low.

Minimize downtime

MongoDB supports native data replication with automated failover in the event of an outage. High availability and data redundancy is built into each MongoDB replica set, which serves as the basis for all production deployments of the database. The database’s self-healing architecture ensures that your team will always have access to the tools they need to deliver the best customer experience.

Deploy anywhere

MongoDB can be deployed in your data center or in the cloud. MongoDB management tools providing monitoring, backup and operational automation are available for each type of deployment.

In xDB, the collection database acts as a central repository for storing contact, device, interaction, history and automation data. An optimal collection database configuration helps organizations increase the availability, scalability, and performance of their Sitecore deployments.

With MongoDB, companies can ingest, store, and analyze varied data from billions of visits with ease. MongoDB scales horizontally across commodity servers, allowing customers to cost-effectively grow their deployments to handle increasing data volumes or throughput.

We offer a number of products and customized services to ensure your success with SiteCore xDB. If you’re interested in learning more about how we can help, click here and a member of our team will be in touch with you shortly.

MongoDB Enterprise Advanced is the best way to run MongoDB in your data center. It includes the advanced features and the round-the-clock, enterprise-grade support you need to take your deployment into production with the utmost confidence. Features include:

  • Advanced Security
  • Commercial License
  • Management Platform
  • Enterprise Software Integration
  • Platform Certification
  • On-Demand Training
  • Enterprise-grade support, available 24 x 365

The MongoDB Deployment for Sitecore consulting engagement helps you create a well-designed plan to deploy a highly available and scalable Sitecore xDB. Our consulting engineer will collaborate with your teams to configure MongoDB’s replication and sharding features to satisfy your organization’s requirements for Sitecore xDB availability and performance.

Click here to learn more

About the Author - Alan Chhabra

Alan is responsible for Worldwide Partners at MongoDB which include System Integrators, ISVs, and Technology Alliances. Before joining the company, Alan was responsible for WW Cloud & Data Center Automation Sales at BMC Software managing a $200M annual revenue business unit that touched over 1000 customers. Alan has also held senior sales, services, engineering & IT positions at Egenera (a cloud pioneer), Ernst & Young consulting, and the Charles Stark Draper Laboratory. Alan is a graduate of the Massachusetts Institute of Technology, where he earned his B.S. in mechanical engineering and his Masters in aerospace engineering.

Introducing RapidBuild -- MongoDB, IBM Power Systems & Avnet Collaborate to Simplify Deployment of Mission Critical Apps

Alan Chhabra


Today, we’re delighted to announce MongoDB’s participation in the RapidBuild Program. RapidBuild is a full hardware and software solution that integrates MongoDB Enterprise Server and IBM POWER8, offered in collaboration with IBM and Avnet. It’s a powerful platform that helps organizations rapidly deploy mission critical applications – all while taking advantage of open source economics and the performance benefits of POWER8.

POWER8 servers are optimized for compute-intensive database and analytics workloads and are built to manage large and complex mission critical applications. MongoDB’s rich feature set, scalability, and flexible data model enable you to store and process data of any structure: social and mobile data, time series data, geospatial coordinates, text and binary data, and anything else. By integrating MongoDB with the speed and security of the POWER8 platform, RapidBuild provides a high performance, flexible, and secure solution to meet the most demanding SLAs for mission critical applications.

The combination of Linux on IBM POWER8 with MongoDB Enterprise Server makes an ideal enterprise Database-as-a-Service platform. Leveraging POWER8’s performance benefits and the RapidBuild program, enterprises can build MongoDB-as-a-Service and private cloud environments that reduce installation time, enhance security, reduce TCO, and ensure high availability.

To learn more:

  • Join our upcoming webinar on May 12
  • Attend MongoDB World on June 28-29, where IBM is a Diamond sponsor and Ross Mauri (General Manager, z Systems and LinuxONE, IBM) and Terri Virnig (Vice President, Power Systems Software Solutions, IBM) will be keynote speakers

Learn more about how to build modern apps fast.
Easily scale high performance MongoDB applications

About the author - Alan Chhabra

Alan is responsible for Worldwide Partners at MongoDB which include System Integrators, ISVs, and Technology Alliances. Before joining the company, Alan was responsible for WW Cloud & Data Center Automation Sales at BMC Software managing a $200M annual revenue business unit that touched over 1000 customers. Alan has also held senior sales, services, engineering & IT positions at Egenera (a cloud pioneer), Ernst & Young consulting, and the Charles Stark Draper Laboratory. Alan is a graduate of the Massachusetts Institute of Technology, where he earned his B.S. in mechanical engineering and his Masters in aerospace engineering.