Case Study: Sinch achieves faster, scalable big-data analytics with Amazon Web Services

Sinch - Customer Case Study

Sinch is a fast-growing communications platform that provides SDKs and APIs for voice, SMS, verification, video, and messaging to some 20,000 developers and major customers worldwide. Business intelligence was central to its operations, but Sinch’s on‑premises, heavily aggregated data warehouse limited drill-down analysis; the company lacked the hardware and staff to handle big data, which constrained reporting and decision-making.

Sinch migrated its BI stack to AWS, using S3, AWS Data Pipeline, EMR (Apache Pig), EC2, and Amazon Redshift (with SNS alerts and integration to on‑premises SSIS and report tools). The move delivered faster queries and halved data‑load time (from ~70 minutes to under 30), predictable costs (~$41/day vs. a $50/day target), easier on‑demand scaling, 24/7 availability, reduced operational overhead, and a platform Sinch is now expanding to include marketing, sales, and finance data.

Sinch

Pantelis Parastatidis

Business Intelligence Developer