How Sony LIV built real-time video streaming analytics with AWS
Big Data Blog
This article describes how Sony LIV built a real-time streaming analytics solution on AWS to process millions of concurrent viewer events during live sports broadcasts.
- Implemented dual-path architecture: Kinesis Data Streams for sub-second priority events and Data Firehose for batch ingestion to S3
- Used Amazon EMR with Apache Spark for scalable processing and Apache Iceberg for ACID-compliant data lake tables
- Deployed ClickHouse as low-latency analytics engine for real-time dashboards and video quality monitoring
- Reduced data latency from hours to seconds, enabling instant insights into viewer behavior and streaming health
- Established unified data catalog serving as single source of truth for business intelligence and ML workloads
Sony LIV transformed from batch processing to real-time analytics, supporting millions of concurrent sessions during peak events like Asia Cup 2025 while optimizing costs through serverless design.
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