Case Study: Kaltura streamlines workflows and reduces costs with Databricks

Powering limitless video experiences worldwide

Kaltura, a global video SaaS company, needed to build a near real-time event pipeline and replace a legacy data architecture that was slowing workflows and driving up costs. The team turned to Databricks Data Intelligence Platform, along with dbt, to support its growing data needs and power more complex video and platform use cases.

Using Databricks, Kaltura centralized computation in a lakehouse architecture, stored data in Delta Tables, and decoupled storage from compute to eliminate bottlenecks. The result was faster processing, less manual effort, lower computing costs, and easier scaling as demand increased; the team also gained better data lineage, testing, and transparency for users.

Kaltura

Omer Kolodny

Data Engineer Team Lead