Best Streaming Datasets, Databases & APIs

What is Streaming Data?

Streaming data is a sub-category of entertainment data, which is data about the entertainment industry. Streaming data details which media is trending, or specifically the kinds of entertainment is being consumed by users of various platforms. Streaming data can include information on esports, sports, music, series, movies or other live events. The data from streaming data helps to create better market strategies, and improves overall online consumer analytics. With streaming data, you can determine what the public wants to consume entertainment-wise, or what is most likely going to attract their interest.

How is Streaming Data collected?

Based on what users of a platform consume on a regular basis, the data is collected in the form of ratings and this information is provided by the platforms supplying the entertainment. These platforms include entertainment providers like Netflix, Twitch, Apple Music, Deezer, Spotify, Amazon Prime, and Starz. Streaming data is used to measure in-house performances for content and it is also supplied via commercial datasets. Tools like Google Analytics are also a viable source of streaming data, as they monitor web traffic of internet users mostly for marketing and web ranking purposes. Streaming data is usually provided on monthly, quarterly or yearly basis.

What are the attributes of Streaming Data?

The attributes for streaming data are similar to that of any people-based data category. There are certain factors that are required to be constant for a dataset to be considered a viable streaming dataset. One of those factors is that the streaming data must consider demographics. This is important as the content on entertainment platforms appeals to different individual groups and their preferences. Some of these preferences are determined by demographics such as age, location and gender. Another attribute is that streaming data must contain numerical values, such as streams per day, and whether these ratings increase or decrease in a certain time window. Streaming data can be displayed as raw numerical figures, and so a dataset must have these key statistics.

What is Streaming Data used for?

Streaming data is used as a performance metric. This means its primary use is to monitor and measure the performance of its subject matter. In this case, the subject matter is entertainment content. With streaming data, users and analysers of the data can tell which content is most popular, which isn’t (and why). Streaming data helps with analytics, and with such intelligence, you can determine what users of a platform are most likely to enjoy, leading to better content creation processes. Streaming data also measures overall performances for different platforms.

How can a user assess the quality of Streaming Data?

For streaming data, quality is a very important factor. Incorrect or low quality streaming data can lead to bad marketing and content creation strategies, and so it is important that a streaming dataset meets quality tests. Trend analytics help verify the statistics of a streaming dataset. This means that the trends shown in a streaming dataset are consistent when compared to other streaming data sources. In addition, you can determine the quality and accuracy of a streaming dataset before you buy streaming data by asking for a sample.

Where can I buy Streaming Data?

Data providers and vendors listed on Datarade sell Streaming Data products and samples. Popular Streaming Data products and datasets available on our platform are X-Byte | Streaming & OTT Data Global Netflix, Hulu, Apple TV, Amazon Prime Video, HBO Now by X-Byte, Above Data - International Streaming Media | 180M+ HHs | 25M+ streams/day | 85% coverage outside of the US by Above Data, and Cryptoquote.io | Streaming Price Data Feeds by Cryptoquote.

How can I get Streaming Data?

You can get Streaming Data via a range of delivery methods - the right one for you depends on your use case. For example, historical Streaming Data is usually available to download in bulk and delivered using an S3 bucket. On the other hand, if your use case is time-critical, you can buy real-time Streaming Data APIs, feeds and streams to download the most up-to-date intelligence.