How Megogo Achieved Significant Performance and Cost Savings with BigQuery & Looker

About the Customer
Megogo, a major OTT streaming provider in Eastern Europe with 55 million users and 200,000 hours of content, required a solution to manage increasing data volumes while optimizing costs and maintaining flexibility.

Challenges
Megogo’s rapid growth demanded a scalable, cost-efficient platform for processing large datasets and improving analytics. They also needed to eliminate the challenges of managing physical infrastructure.

Solutions
With Cloudfresh’s support, Megogo adopted BigQuery for scalable, fast data processing and cost control via a pay-as-you-go model. Looker provided over 300 dashboards for meaningful insights across departments, with a daily data refresh cycle tailored to their needs.

Results

• Performance Gains: BigQuery reduced query times to under a minute for 2.82 TB of data.
• Cost Efficiency: BigQuery’s pricing model and Cloudfresh’s strategies optimized data processing costs.
• Simplified Operations: Automatic scalability freed teams to focus on key tasks.
• Data-Driven Insights: Looker dashboards enabled informed decisions without real-time updates.

Cloudfresh’s Role
Cloudfresh provided strategic and technical guidance, ensuring smooth implementation and cost optimization for BigQuery. As a Google Cloud Premier Partner, Cloudfresh offered exclusive benefits, helping Megogo maximize performance and scalability while keeping costs low.