Case Study: Boingo achieves 90% cost savings and dramatically faster analytics with Amazon Web Services

Boingo - Customer Case Study

Boingo Wireless, a global operator of Wi‑Fi and DAS networks serving airports, stadiums, universities, and military bases, faced rapid growth from acquisitions and needed agility without expanding on‑prem data centers or hiring large engineering teams. Its existing BI system was too slow for analysts—queries against a year of data took about 45 minutes and data loads took hours—so the company looked to the cloud to improve performance and speed time to insight.

Boingo migrated about 90% of core services to AWS, using EC2, S3, IAM, Kinesis, and Amazon Redshift for its big‑data warehouse. The move slashed data‑warehouse costs to roughly 10% of previous on‑prem spend, cut query times from ~45 minutes to 25 seconds, reduced loading of 1M records to about 20 seconds, and accelerated provisioning by ~20x. Analysts gained direct access to data, enabling more reports and faster issue detection, and the company is now exploring machine‑learning use cases.

Boingo

Kishore Raja

Director of Strategic Programs and R&D