Why couldn't everything be built on ClickHouse, and instead just display metrics on the front end via a service?
sobes.tech AI
Answer from AI
ClickHouse is a powerful analytical DBMS, well-suited for processing large volumes of data and complex queries. However, using it directly for all metrics and frontend output may not be advisable for several reasons:
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Load and performance: direct frontend queries to ClickHouse can create high load and increase response times.
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Security: direct database access from the client poses security and access control risks.
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Caching and aggregation: a service can implement caching, aggregation, and data optimization, reducing the load on ClickHouse.
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Business logic: a service layer allows for implementing additional logic, filtering, and data transformation, which is difficult to do at the database level.
Therefore, an architecture with a service between ClickHouse and the frontend provides better scalability, security, and flexibility.