Home / Companies / ClickHouse / Blog / Post Details
Content Deep Dive

How Sony LIV uses ClickHouse Cloud to deliver live streaming analytics at billion-row scale

Blog post from ClickHouse

Post Details
Company
Date Published
Author
-
Word Count
1,476
Company Posts That Month
31
Language
English
Hacker News Points
-
Post removed?
No
Summary

Sony LIV rebuilt its analytics infrastructure around ClickHouse Cloud to support real-time quality-of-service and quality-of-experience monitoring for its large-scale OTT platform, particularly during unpredictable live sports traffic spikes. Its previous fragmented stack of batch pipelines, Elasticsearch, BigQuery, and separate telemetry stores struggled with latency, cost, scaling, and correlating data across playback, CDN, application, clickstream, and advertising systems. The new centralized architecture streams events from client applications, streaming services, CDN infrastructure, and ad platforms through Amazon Kinesis and ClickPipes into ClickHouse, which supports operational dashboards, product analytics, SRE troubleshooting, ad analytics, and playback-quality monitoring. Sony LIV reports that queries previously requiring tens of seconds or minutes now run in sub-second to low-single-digit-second times, improving incident response and visibility into buffering, playback failures, regional degradation, device issues, and CDN anomalies. The company also cites improved storage economics, reduced operational fragmentation, and better handling of major-event traffic, while planning to expand ClickHouse use for behavioral analytics, predictive autoscaling, anomaly detection, enhanced observability, and real-time advertising intelligence.

Trends Found in this Post
Trend Post Mentions Total Month Mentions Posts Companies MoM
Real-time 29 4,432 1,050 222 -31%
Observability 7 3,175 737 186 -24%
Platform Engineering 2 1,191 259 79 -17%
Use This Data

Use this post, company, and trend context to find content marketing opportunities, perform competitive analysis, or address product feature gaps via the Plushcap MCP server or the Plushcap API.