Case Study: Situm cut engineering hours 10x processing 300M geolocations a day with Tinybird
Key results
The challenge
Situm, an indoor positioning provider, ingested more than 300 million geolocations daily with double-digit month-on-month growth. It needed to process and query billions of geolocations without maintaining complex pipelines, preprocessing, or database clusters.
The solution
Situm adopted Tinybird with Kafka-based ingestion, letting its customer success team run data exploration and build prototypes and reports directly in SQL.
“The customer success team can easily perform data exploration and generate new prototypes and reports with millisecond latency.”
ACAdrian CanedoCTO, Situm
The results, in context
Situm reduced engineering hours 10x while ingesting 300 million geolocations per day and processing 7TB per day. Data ingestion lag fell to under one second, and reports and analytics over billions of geolocations could be computed with millisecond query latency.