MongoDB x UKG Microsite
Updated April 2025
Embedded Files
Events
Virtual
3/12: 11 AM EST Intro to Data Modeling REGISTER HERE
3/13: 11 AM EST Expanding LLM Applications: From RAG to Agentic Systems REGISTER HERE
3/19: 11 AM EST Power-Up Your Queries: MongoDB's Aggregation Framework REGISTER HERE
4/9: 11 AM EST Intro to Data Modeling REGISTER HERE
4/16: 11 AM EST Power-Up Your Queries: MongoDB's Aggregation Framework REGISTER HERE
MongoDB Tooling
Sample Screenshot
Monitor and improve slow queries with the Performance Advisor.
Monitor collection-level query latency with Namespace Insights.
Monitor query performance with the Query Profiler.
Monitor real-time performance with the Real-Time Performance Panel.
You can also improve your schema. Improve your schema based on recommendations from the Performance Advisor and the Atlas UI.
Dedicated UKG Webinars
Scalability & Resiliency
Scalability & Resiliency
201 Data Modeling
201 Data Modeling
Atlas App Services
Atlas App Services
Your MongoDB Account Team
Rob Mirfield, Account Executive
Rob Mirfield, Account Executive
Mark Brown, Solutions Architect
Mark Brown, Solutions Architect
Cara Desjarlais, Customer Success
Cara Desjarlais, Customer Success
Giovanni DeVita, Regional Director
Giovanni DeVita, Regional Director
Jenny Lyon, Account Executive
Jenny Lyon, Account Executive
🤝 MongoDB Public Customer Stories 🤝
Working with MongoDB, ADP quickly created the “ADP Mobile Solutions” app. Today, the app has more than 1 million active users in 17 countries and 23 language. The secret is MongoDB’s data model. Developers can skip a painful and time consuming step they’ve become accustomed to with relational databases -- the Object Relational Model (ORM).
“Using MongoDB Atlas has essentially reduced the company’s database maintenance effort to zero, while giving it five times the performance speeds, at one-fifth of the cost of its previous RDBMS solution.”
- John Wiegert, Principal Engineer, Paylocity
While the pace at which Darwinbox is growing into different geographies leads to an even greater increase in data volumes and users, prompting this ambitious tech company to ask; "How do we address the data locality, and how do we address scaling?" "The answer," says Brahma, "is MongoDB."
“When you’ve got a traditional audience table with tens or even hundreds of millions of records in it, making schema changes is a traumatic event,” says Alex Bullen, Chief Product Officer at Playvox. “It got to the point where we were too scared to make changes, because of the complexity of traditional relational tables.”
Using MongoDB Atlas, Playvox discovered that as a managed developer data platform, it offers a flexible schema design, and has scaling benefits well suited for high-volume and high-traffic applications.
Paychex
Paychex
Paychex’s Data Mosaic: How MongoDB Atlas Supports Our Internal AI Solutioning
Page updated
Report abuse