In modern application development, efficiently querying and retrieving real-time data is crucial to building robust and performant systems. Using materialized views we can improve query performance. When it is combined with GraphQL and a steaming database, we can define our queries to leverage these materialized views for the data that constantly changes.

For example, social media platforms like Twitter produce a massive volume of data every second. This data is valuable for analyzing trends and user behavior. In this article, we will explore how integrating GraphQL, materialized views, and streaming databases such RisingWave can enable us to efficiently query tweets and discover the hottest hashtags in real-time.

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