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Rockset > Case Studies > Scaling Our SaaS Sales Training Platform with Real-Time Analytics from Rockset

Scaling Our SaaS Sales Training Platform with Real-Time Analytics from Rockset

Rockset Logo
Customer Company Size
Mid-size Company
Region
  • America
Country
  • United States
Product
  • Rockset
  • MongoDB
  • MySQL
  • Snowflake
  • ClickHouse
Tech Stack
  • Real-Time Analytics
  • Cloud Computing
  • Serverless Architecture
Implementation Scale
  • Enterprise-wide Deployment
Impact Metrics
  • Productivity Improvements
  • Customer Satisfaction
  • Digital Expertise
Technology Category
  • Analytics & Modeling - Real Time Analytics
  • Platform as a Service (PaaS) - Data Management Platforms
Applicable Industries
  • Software
  • Professional Service
Applicable Functions
  • Business Operation
  • Sales & Marketing
Use Cases
  • Real-Time Location System (RTLS)
  • Remote Asset Management
Services
  • Cloud Planning, Design & Implementation Services
  • Software Design & Engineering Services
  • System Integration
About The Customer
ConveYour is a company that provides automated sales training via a cloud-based SaaS platform. The platform is designed to deliver personalized, bite-sized training to sales recruits, maximizing engagement and reducing training time. ConveYour's approach is based on the principles of microlearning, delivering short, convenient lessons and quizzes to sales recruits via text messages. The platform allows customers to monitor the progress of their sales recruits at a detailed level, tracking every interaction they have with the platform. ConveYour has trained more than 100,000 sales reps, and its microlearning approach has been particularly beneficial for direct sales-driven firms that constantly hire new reps. The company operates with a small team of five developers, focusing on keeping the team agile and productive.
The Challenge
ConveYour faced significant challenges in scaling its SaaS sales training platform due to the increasing volume of data and the need for real-time analytics. The original data infrastructure, built around an on-premises MongoDB database and a MySQL database running in Google Cloud, was unable to keep up with the demands of real-time data ingestion and query performance. The CRM dashboard, which provided real-time aggregated performance results for thousands of sales reps, was becoming slow and unresponsive as the data volume and number of users grew. Additionally, the seasonal nature of the business meant that deploying permanent infrastructure to accommodate spiky demand would have been expensive and wasteful. ConveYour needed a data platform that could scale up and down as needed, while also providing real-time analytics capabilities.
The Solution
ConveYour implemented Rockset, a real-time analytics database, to address its scalability and real-time data ingestion challenges. Rockset's ability to quickly write data and perform complex queries made it an ideal solution for ConveYour's needs. The deployment of Rockset took just one week, and it allowed ConveYour to stream data to both Rockset and MySQL, using both to serve up queries. Rockset's serverless model, which allows compute and storage to independently and automatically grow or shrink, reduced the IT burden for ConveYour's small team. The platform's features, such as Converged Index and automatic query optimization, eliminated the need for extensive engineering time on query performance. As a result, ConveYour's average query latency was reduced from six seconds to 300 milliseconds, and the number of query errors and timed-out queries was cut to zero. Rockset's real-time performance also eliminated the need for batch analytics and stale caches, allowing ConveYour to aggregate millions of event records in less than a second.
Operational Impact
  • ConveYour's implementation of Rockset allowed for real-time data ingestion and query performance, significantly improving the responsiveness of the CRM dashboard.
  • The serverless model of Rockset reduced the IT burden for ConveYour's small team, allowing them to focus on other tasks.
  • Rockset's features, such as Converged Index and automatic query optimization, eliminated the need for extensive engineering time on query performance.
  • The real-time performance of Rockset allowed ConveYour to eliminate the need for batch analytics and stale caches, providing customers with up-to-date information.
  • ConveYour's experience with Rockset was so positive that they began a full migration from MySQL to Rockset, further streamlining their data infrastructure.
Quantitative Benefit
  • Average query latency reduced from six seconds to 300 milliseconds.
  • Number of query errors and timed-out queries reduced to zero.
  • Ability to aggregate 2 million event records in less than a second.

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