See How Datazoom Works

The platform is incredibly simple: easy to configure, capable of solving complex business challenges, and extremely powerful. In just three steps, you can have Datazoom capturing your data and sending it to where your operations engineers, product managers, and business executives need it to be.


To Maximize Datazoom, You Need to Grasp the Basics.

#1 Key Features & Terms

Datazoom has a number of powerful features to help you quickly and easily integrate the platform into your streaming technology stack. With a firm grasp on these features and the terms used throughout our platform, you’ll be able to make the most of our technology.


Collectors represent established integrations with popular data end-points such as video players, like JW Player, and CDNs, such as Akamai and Lumen. You can pick from these collectors when building your datapipes.


Connectors represent established integrations with popular storage providers, such as AWS and Google, and visualization tools, such as Datadog and Splunk. You can pick from these connectors when building your datapipes.


Datapipes represent a complete data flow, from collector to connector. Datazoom users can easily create new datapipes, using an intuitive drag-and-drop interface, and configure them in just a few clicks.


With Datazoom, you can add datapoints to existing JSON streams such as combining ad CPM with ad-event data. This can reduce the amount of post-processing required, such as table matching, and speed-up monitoring and analysis.


Analyzing large datasets, such as CDN logs, can be costly in terms of both computing resources and the time it takes to process. This can significantly increase the time it takes to resolve an issue. With Datazoom, you can specify just a subset of a data source.


Data consistency is a big challenge. If data sources utilize different names for the same value, it can be difficult to relate them. Datazoom’s CDN Dictionary and Video Player Data Dictionary help to automatically standardize data values.


The frequency at which you need data from end-points may be different. Some you need in near real-time, others can be delivered later. Datazoom enables you to set a data collection frequency per data point, ensuring you get the data you need when you need it.


Build Your Datapipes in a Matter of Minutes

#2 A Simple Interface

The Datazoom interface is designed to make things as easy as possible from selecting your and configuring Collectors to creating DataPipes that map to one of the supported Connectors.

Selecting Collectors

Datazoom’s Collector and Connector Library make it easy to identify an end-point and add it to the DataPipe.

Collector Configuration

Each Collector has configuration settings you can specify such as how often to beacon data which determines the frequency of when data is gathered and sent to the Connector.

Connector Configuration

Just like Collectors, you can configure your Connectors in just a manner of minutes: specify the settings to get the data where it needs to go.

DataPipe Review

With a configured Collector and Connector, you have a DataPipe: a dedicated relationship between a data source and the destination.

Multiple DataPipes

The data you need to gather is probably composed of multiple DataPipes. The Datazoom interface makes it easy to gather the pipes together so you can see them all in one place and even control the data points collected.


Demonstrated Results With Happy Customers

#3 Proven Results

Click on a logo below to read about some of the ways that companies have benefited from implementing Datazoom to handle their streaming video data.
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