Database Services for
Media & Streaming Platforms
Power content discovery, personalized recommendations, and millions of concurrent streams with databases optimized for the scale and speed your audience expects.
Why Do Media Companies Choose JusDB?
Streaming platforms handle massive content catalogs, real-time personalization for millions of users, and unpredictable viewership spikes during live events and premieres.
Content at Scale
Catalog databases optimized for millions of titles with instant search, filtering, and availability checks.
Personalization
Recommendation engine data infrastructure serving sub-10ms personalized content feeds to millions of users.
Live Event Ready
Auto-scaling strategies for premiere nights and live sports events with 10-100x normal concurrent streams.
Rights Management
Complex licensing, territorial availability, and DRM entitlement queries optimized for real-time access control.
What Is Included in Our Media Database Services?
Content Catalog & Search
- Million-title catalog schema with rich metadata
- Elasticsearch-powered instant search and filtering
- Materialized views for homepage carousels and categories
Recommendation & Personalization
- User interaction history with high-throughput ingestion
- Feature stores for ML recommendation models
- Pre-computed recommendation caching in Redis
Streaming Session Management
- Session state for 500K+ concurrent streams
- Watch progress sync across devices
- DRM entitlement validation at edge speed
Analytics & Engagement
- Viewership analytics pipelines at billion-event scale
- Content performance dashboards in real time
- Churn prediction data infrastructure
Which Database Engines Power Streaming Platforms?
Media platforms need a polyglot data stack — each engine optimized for a specific workload in the content pipeline.
PostgreSQL
Content licensing, user accounts, subscription billing, and rights management with complex temporal queries.
Redis / Valkey
Session state, recommendation caching, rate limiting, watch progress, and real-time trending content feeds.
Elasticsearch
Instant content search across millions of titles with autocomplete, faceted filtering, and relevance tuning.
Cassandra / ScyllaDB
Billion-event viewership analytics, user interaction logs, and time-series engagement data across global regions.
MongoDB
Flexible content metadata, dynamic catalog attributes, editorial collections, and user-generated content.
MySQL / MariaDB
Subscription management, payment processing, content ingestion workflows, and editorial CMS backends.
How Does JusDB Optimize Streaming Database Performance?
Streaming platforms mix heavy read workloads (browsing, search) with high-frequency writes (analytics, watch progress) under strict latency requirements.
Content Serving
Multi-layer caching for catalog pages, carousels, and search results — reducing database queries by 80% during peak hours.
Event Ingestion
Batched analytics writes for play/pause/seek events at billion-event scale without impacting content serving queries.
Global Distribution
Cross-region read replicas for content catalogs, with edge-cached entitlement checks for low-latency stream authorization.
Live Event Scaling
Pre-event capacity planning with auto-scaling runbooks tested for 10-100x normal concurrent viewership.
24/7 Media Platform Support
Your audience is global. Our DBA team provides always-on support with entertainment-grade SLAs across every timezone.
- Live event war rooms with dedicated DBAs monitoring concurrent stream counts, session failures, and query latency.
- Content launch preparation with capacity planning for premiere nights and exclusive release windows.
- 10-minute response SLA for critical incidents — streaming outages, recommendation failures, or catalog unavailability.
Media & Streaming Success Stories
See how we help media platforms scale their content infrastructure.
Regional OTT Platform
Optimized content catalog queries for 2M+ titles, reducing homepage load time from 1.8s to 200ms with materialized views and Redis.
Read Case StudyMusic Streaming Service
Built recommendation data pipeline processing 500M daily user interactions with Cassandra and Redis feature stores.
Read Case StudyLive Sports Broadcaster
Scaled session management to handle 3M concurrent streams during championship events with zero authentication failures.
Read Case StudyFrequently Asked Questions
Ready to Scale Your Streaming Infrastructure?
Stop buffering on database issues. Let our DBAs build the data foundation your content deserves.