Why Choose Datazoom Over MUX Data?

Although MUX is used by many streaming operators to analyze their player data, MUX does not offer a video data platform. They provide a video analytics platform. Without an event-level, real-time, standardized and accessible dataset, it’s difficult to uncover and diagnose the root cause of content QoS problems, advertising delivery and playback issues, or to gain full control over an in-depth first-party dataset optimal for providing third-party reporting. As such, it lacks a number of the powerful features provided to you through Datazoom.

Three Key Ways Datazoom Provides More Value Than MUX Data

How does Datazoom differ from MUX? Although the table below provides a clear indication of how MUX falls short of Datazoom (when Datazoom is used in  conjunction with popular visualization and analytics tools), we have highlighted three key aspects of how the Datazoom Video Data Platform is superior to MUX’s Video Analytics offering.

Sub-Second Data

The speed at which you can get the data from your player to your visualization tools is the speed at which you can make decisions. While MUX Data may make you wait up to 5 seconds, with Datazoom you can get your data in near real-time to solve viewer experience issues before their become viewer experience disasters.

Data Enrichment

When you spend time post-processing data, such as combining data sources, you waste valuable decision-making time. Datazoom differs from analytics tools like MUX Data by enabling you to add data from other sources into the data stream at the time of collection, delivering connected data into your visualization tools rather than just raw numbers.

Plug-n-Play Connectors

Spending time creating connections between data sources and your analytics platforms takes not only up-front time and effort, but on-going resources to maintain. With the Datazoom video data platform, you can easily connect and configure the systems to which you want to send your data (such as a Looker block) with no APIs and no effort.