Case Study: ACL Mobile achieves cost-effective, real-time deep analytics and simplified reporting with SQream DB (SQream)

ACL Mobile uses SQream DB as a cost-effective deep analytics platform for reporting

ACL Mobile, a leading enterprise messaging provider sending more than 2 billion messages a month across 200+ countries with 99.99% uptime, faced rapidly growing data loads and self-service analytics demand that strained its relational databases. To avoid timed reports and restrictive history filters, ACL Mobile selected SQream and its SQream DB GPU database to support high-frequency, highly sensitive reporting and deeper analysis.

SQream deployed SQream DB on a small fleet of NVIDIA Tesla GPU‑enabled Dell servers, using automatic partitioning and an OLAP architecture to simplify the schema (reducing tables from hundreds to under 25) and enable unlimited data accumulation. The SQream solution now handles hundreds of millions of rows ingested daily and 40,000+ queries per day, delivering faster query times, streamlined administration, lower IT costs and continued high availability for ACL Mobile.

ACL Mobile

Ajit Singh

Sr. Vice President Engineering