Amagi Ensures Millions Never Miss Their Shows

Overview

Amagi, a media technology company supporting 8,000+ streaming channels and 300+ distributors, consolidated fragmented data systems (Dataproc, Snowflake, and in-house platforms) across AWS and GCP into the Amagi Data Platform (ADP), a unified lakehouse built on Databricks with Unity Catalog governance. The platform serves real-time data for ad decisioning, content performance analytics, billing and customer reporting to internal teams (via notebooks, Genie, SQL warehouses) and customer-facing products. Amagi reports 45% cost savings from consolidating fragmented data systems, 15x faster time to market for new data products, and 35% fewer production incidents due to improved data reliability.

The challenge

As streaming volumes and global operations grew, fragmented data systems and complex multicloud environments limited speed, consistency and governance. Multiple teams maintained separate data systems - Dataproc for batch processing, Snowflake for analytics, and various in-house platforms for specialized workloads - each with its own governance model, access controls and data definitions, making it nearly impossible to establish a single source of truth.

The solution

Amagi architected the Amagi Data Platform (ADP), a unified lakehouse on Databricks. Diverse sources - content metadata, asset catalogs, advertising data, service streams, program schedules and user data - flow into a governed data lake via Unity Catalog, which lets Amagi define data lineage, enforce access controls, tag sensitive data and ensure compliance. Internal stakeholders access data through Databricks notebooks, Genie for natural language querying, SQL warehouses and serverless compute.

Reported business value

Amagi reports 45% cost savings from consolidating fragmented data systems, a 15x faster time to market for new data products and features, and 35% fewer production incidents due to improved data reliability.