So this CMP application was built on top of the relational database
And it started to perform quite slow, way too slow. It was taking us more than two weeks to reprocess everyone in sugar babies louisiana our entire matching system. And that was way, way too long for our customer.
So since we migrated to the MongoDB data storage solution, we achieved amazing results. We were able to reduce or decrease the processing time to match by 95% plus, from two plus weeks to less than 12 hours on $3 billion plus potential matches that we created every single day. 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 MongoDB data storage solution, and a lesson we learned along the way. Then, I will talk about the old system, how it was architected, and where we ran into problems. Then, I will talk about the new system, our requirements, and the technology we evaluated, and why we selected the MongoDB solution. And finally, I will discuss some of the lessons we learned during the MongoDB transition and some of the new cases we plan to use MongoDB for. […]