Case Study: The Meet Group achieves real-time streaming insights with Upsolver

The Meet Group Extracting Real-Time Insights from Streaming Data Using Upsolver and Amazon Athena

The Meet Group, an online dating platform with five brands and millions of users worldwide, needed a way to unify data from multiple acquisitions and separate backends. With hundreds of millions of daily events flowing through thousands of streams, the company was struggling to consolidate streaming data for aggregate analytics, real-time insight, and microservices coordination.

Using Upsolver with Amazon Athena on AWS, The Meet Group built a centralized data lake that ingests data from Kafka and other sources into S3, transforms it with SQL-based jobs, and makes it queryable in Athena. Upsolver automatically optimized the pipelines with schema-on-read, Parquet, compression, partitioning, and compaction, helping The Meet Group save months of coding, reduce operational burden, and move 95% faster on data initiatives while focusing more on analysis and innovation.

The Meet Group

Bob Lunney

Lead Data Architect