Case Study: Upland Localytics achieves secure, scalable, near-instant client data sharing with Snowflake

Localytics - Customer Case Study

Localytics provides embedded analytics for application providers to analyze customer behavior, deliver targeted notifications, and optimize user experience. The company struggled with a legacy data warehouse that was costly to scale, couldn’t handle petabytes of incoming data, and failed to meet required latency for securely and reliably sharing data with clients.

By adopting Snowflake Data Sharing with data posted in Amazon S3, Localytics can reference data across Snowflake accounts without moving it, giving clients robust, near-instant access to their own data and direct access to a Snowflake UI for advanced analytics. The result is secure, scalable, and cost-effective data distribution that enables multiple parties to access shared data reliably.

Upland Localytics

Michal Klos

Director of Engineering