Then, I will talk about the new system, our requirements, and the technology we evaluated, and why we selected the Mongo DB solution.And finally, I will discuss some of the lessons we learned during the Mongo DB transition and some of the new cases we plan to use Mongo DB for.actress had to share: On being a single mom to daughter Matilda with the late Heath Ledger: “I know a handful of women in similar positions [to me], it’s kind of like a club. My friend Busy [Phillips] and her husband Marc [Silverstein] said, ‘Michelle, you’re in like a blackout zone, everybody is now partnered up and you have to wait for people to start getting divorced.’ Oh my f*cking God…” On getting into the dating scene: “Talk about a learning process. I feel really sensitive about it and certainly did not expect to be still dating at 36 with an 11-year-old. I went back into the house and sobbed because of this incredibly simple moment – common everyday happiness.
And then, we create a very unique personality profile about you that we're going to use it later in our matching system.
We also have a dedicated team doing extensive research in data science and clinical psychologies to define happy relationships and what personality profiles, what type of personality profiles were most compatible in those relationships. So where, in turn, we're applying data science to love.
In terms of the key performance metrics, compared to a year ago, we are seeing about 30% increase in two-way communication, 50% increase in the paid subscribers, and 60% plus increase in traffic growth, in terms of the unique visitors and visits.
So today's talk is about our compatibility matching system, and how and why we rebuilt it on Mongo DB data storage solution, and a lesson we learned along the way.
But I confess, there are more women in this presentation than any of the others. He doesn't do very many presentations, so we feel particularly honored.
Thank you so much for joining us at our third session just before lunch. We just listened to how to bring together clinical and research data and cancer, another great topic.He's going to share the story about how Mongo DB is helping make matches, how more and more people can fall in love more quickly. With 51 million plus registered members that we have, and 25 million plus visits per month, and more than 1.2 million people that get married on e Harmony since the company was founded 14 years ago by Dr. Our systems store and manage about 200 million plus photos with 15 plus terabytes of data in our photo storage.Imagine, if you could take the speed of development that Mongo DB brings and bring it to love, we could cut out all that noise in dating and actually just find our soulmates, right? It also manages about four billion plus relationship questionnaires, with 25 plus terabytes of data.For example, they could be completely different age groups. So, for the purpose of today's talk, I will stay mostly on the compatibility matching system, allowing us to focus a lot more on the usage of the Mongo DB solution. So this completes the first part of our matching system.One person could be 30, the other person could be 60. So the compatibility matching system is a two-step process. To understand how it works, let's take a look at Nikki as an example. In the second step, we also account for a sophisticated personality traits that a user conveys to us by filling out a long list of questionnaires.He shared that he's also excited about the vision for Mongo DB we've heard this morning. So, on average, we have about 438 people that get married on e Harmony every single day. And that translates to a lot of data that we need to store, manage, and process. Well, our compatibility matching processor, or, also known as CMP application, create about billion plus potential matches per day, with about 25 plus terabytes of user data in our entire matching system.