TeraDB Cloud

Media & Entertainment

Media & Entertainment Data Analytics Solutions

Power Real-Time Insights for Streaming, Ads, and Audience Engagement

TeraDB Cloud’s open-source infrastructure enables media companies to analyze viewer behavior, optimize content delivery, and monetize ads—all with sub-second latency and 70% lower costs than legacy platforms.

Key Challenges in Media & Entertainment Data Analytics

zap fast

Buffering & Latency

Delivering seamless 4K/OTT streaming while analyzing viewer data in real time.

Database

Ad Revenue Leakage

Inefficient ad targeting due to stale audience segmentation.

Data sources

Content Piracy

Detecting unauthorized distribution of live/on-demand content.

Real Time

Scalability Spikes

Handling traffic surges during live events (e.g., sports, premieres).

Compliance & Security

Fragmented Data

Siloed metrics from CDNs, CMS, and ad platforms (e.g., Google Ad Manager).

Unstructured

Unstructured and Uncompressed Data

Different Data Sources provide data in unstructured or Uncompressed form.

Technical Use Cases for Media & Entertainment

Real-Time Executive

Real-Time Viewer Analytics

Challenge

Analyze 10M+ concurrent viewer sessions to reduce churn and improve engagement.

Solution

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    Audience retention (drop-off points).

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    Device/geo-specific buffering rates.

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    Alert engineering teams via ElasticSearch’s anomaly detection for sudden latency spikes.

Ad-Hoc Analysis

Dynamic Ad Targeting

Challenge

Serve personalized ads without degrading streaming performance.

Solution

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    Build viewer profiles in ClickHouse (watch history, demographics, ad clicks).

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    Use RediSearch for real-time lookups (e.g., “sports fans in California”) with <5ms latency.

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    Integrate with SSPs (e.g., Google Ad Manager) via Kafka-based event pipelines.

Forecasting

Content Recommendation Engines

Challenge

Recommend shows/movies with <100ms API latency.

Solution

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    Train collaborative filtering models (TensorFlow) on historical watch data in ClickHouse.

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    Deploy models as ClickHouse ML functions for real-time inference.

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    Cache recommendations in RedisJSON for instant API responses.

Real-Time Executive

Live Event Scaling

Challenge

Handle 10x traffic spikes during live sports or concerts.

Solution

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    Auto-scale ClickHouse clusters on AWS/GCP during peak times.

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    Use ElasticSearch’s geospatial queries to optimize CDN routing (e.g., redirect EU viewers to Frankfurt nodes).

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    Monitor infrastructure health with prebuilt Grafana dashboards.

Ad-Hoc Analysis

Anti-Piracy & Content Security

Challenge

Detect illegal restreaming of live content.

Solution

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    Analyze RTMP/HLS streams with ClickHouse’s pattern matching (LIKE, regex) for watermark anomalies.

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    Flag suspicious IPs/CDNs using ElasticSearch’s threat intel plugins.

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    Enforce BYOK encryption (AWS KMS) for DRM-protected content.

How TeraDB Cloud Solves Media & Entertainment Challenges

Blazing-Fast

Sub-Second Latency:

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    ClickHouse’s MergeTree engine handles 1M+ writes/sec for real-time viewer analytics.

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    RediSearch caches ad segments and recommendations for <10ms API responses.

Cost-Effective Scaling:

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    Auto-pause clusters during off-peak hours (e.g., post-live events) to cut costs by 60%.

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    Decoupled storage/compute: Store raw logs in S3/GCS, process only what you need.

Seamless Integrations:

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    Prebuilt connectors for Brightcove, Akamai, AWS Elemental, and Google Ad Manager.

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    BYOC (Bring Your Own Cloud): Deploy TeraDB Cloud on your AWS/GCP VPC to colocate with CDN edge nodes.

Compliance & Security

Anti-Piracy & Compliance:

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    SOC 2-compliant infrastructure with VPC peering for isolated media workflows.

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    Audit trails for ad impressions and content access logs.

24/7 Expert Support:

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    ClickHouse Certified Engineers optimize query performance for time-series analytics.

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    ElasticSearch Specialists fine-tune relevance scoring for content search.

Compressed and Structured Data Storage

Compressed and Structured Data Storage:

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    Compress data up to 90% for less storage cost.

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    Structure data at ingestion to minimise the query execution time.