Case Study
Tagboard is able to forget about the backend data and focus on innovation with ObjectRocket
Tagboard enables over 10,000 sports teams, broadcasters, and brands to quickly and easily curate rich content from social and display it on air, in stadium, online, or at any event. Basically, any screen, anywhere, any time. In order to take real-time content from Twitter, Instagram, Facebook, YouTube, and Snapchat and turn it into impactful displays for a variety of screens, Tagboard must ingest and process a massive amount of data. To accomplish this, they use three managed database services that allow users to search any hashtag and then filte r, moderate, and interact with social content: Elasticsearch, MongoDB, and Redis. Their current data structure uses MongoDB as the primary data store, which they supplement with 50 microservices using Elasticsearch to search and analyze, a