Streaming, creators, fan intelligence
Media and Entertainment
Live streaming, creator platforms and the analytics that tell a rights holder who actually watched.
Rights holders have historically been handed almost nothing by their streaming partners. How many watched, from which devices, and what else those people care about are answerable questions that most platforms in this market do not answer. We build the delivery side and the intelligence side together: live game streaming with ad injection, content pipelines that transcribe and index thousands of hours of video a day, and the analytics layer on Databricks that turns viewing into something a club or a creator can act on.
Clients in this sector
The lines that do this work
Product development
Full product delivery: multi-tenant architecture, operator consoles and the data layer under them. Shipped as Databricks Apps when the product belongs next to the lakehouse.
Data engineering
Pipelines that hold, tables people trust, and a bill that stops surprising you.
Data science & AI
Context stores, memory, retrieval and governed agents that survive production.
FAQ
Media and Entertainment: questions we get asked
Can you handle live game delivery, or only the data side?
Both, and on BZZR at /case-studies/bzzr they are the same product. Live streaming with ad injection runs on an AWS Elemental stack, and the content pipeline that transcribes and indexes partner video feeds the same graph the analytics read from.
What can we actually tell our rights holders?
Who watched, how often, on what device, and what else that audience follows. The value is in joining viewing behaviour to the content graph rather than reporting either alone, which is the work Databricks carries.
Talk to someone who has built this.
A technical conversation with a senior engineer who has shipped in this sector, about what you are trying to build.