Case Study: Aniview reduces data platform costs by 70% with DoiT International and Google BigQuery

How Aniview reduced data platform costs by 70% with Google BigQuery

Aniview, a digital media company based in the United States, needed to redesign its data warehousing architecture as its platform scaled to process more than 100 billion video events a day. With petabytes of data and tight margins, the company was struggling to maintain low latency and keep costs under control. Aniview turned to DoiT International and Google Cloud Platform, including Google BigQuery, to find a scalable data analytics solution.

DoiT International helped Aniview implement a serverless analytics architecture centered on Google BigQuery, with support from Google App Engine, Cloud Dataflow, and Cloud Dataproc. The new platform enabled Aniview to query huge datasets in seconds, deliver real-time performance metrics, and explore data at unprecedented scale. Most importantly, DoiT International helped Aniview reduce data platform costs by more than 70% while improving performance and unlocking new customer insights.

Aniview

Roy Cohen

Chief Technology Officer