Case Study: Large Communication Analytics Company achieves real-time processing of 1.5B daily transactions (100k+ TPS) and slashes release cycles with Gathr

Processed 1.5 billion events per day for a large communication analytics company

Large Communication Analytics Company, a leading security and intelligence software provider for federal and state agencies, needed to modernize legacy ETL frameworks to process 1.5 billion daily interactions from multiple real-time feeds. They engaged Gathr to provide a near‑zero‑code, scalable ETL platform—using Gathr’s Web Studio and Spark structured streaming—to deliver real‑time ingestion, parsing, enrichment, aggregation, monitoring, anomaly detection, and CI/CD on commodity hardware.

Gathr implemented structured streaming pipelines with prebuilt ETL components (Kafka ingestion, real‑time quality checks, enrichment via Redis/HBase, Solr indexing) and a drag‑and‑drop Web Studio for orchestration, replacing roughly 1 million lines of hand code in ~3 weeks. The Gathr solution achieved 100,000+ transactions/second (processing 1.5 billion records/day), cut full release cycles from 8 months to 8 weeks and change release time from 3 weeks to 3 days, and lowered costs by running on commodity hardware.