When dashboards slow down, reporting strains the application, or event data gets too expensive to keep, the next step is to identify which workload needs a different approach.
These are use-case patterns. The first review checks whether the source of the problem is the database, the pipeline, the application, or a combination.
Charts time out, filters feel slow, or each new tenant needs more precomputed reports. Explore a dedicated analytical layer for product usage and customer reporting.
Large scans and aggregations put pressure on SQL Server, PostgreSQL, or MySQL. Evaluate moving selected reporting queries to an analytical copy.
Growth means higher compute bills, shorter retention, or limits on who can query data. Compare the full cost of the workload on realistic usage.
Logs, traces, and device events grow quickly, while sampling and short retention make investigation harder. Design retention around the questions you need to answer.
Orders, deliveries, devices, or transactions change faster than reports refresh. Define the decision that needs fresher data and the time available to act.
You need to explain which model, customer, or release is driving errors, latency, or spend. Build an analytical record of requests, traces, evaluations, and outcomes.
ClickHouse is a SQL database designed for analytics across large datasets. Its suitability depends on the queries and data lifecycle. Read the official introduction .
You repeatedly filter, group, or aggregate growing event or business datasets, and query speed, freshness, or concurrency has become a material problem.
Your workload depends on frequent corrections, complex joins, strict consistency, or demanding tenant isolation. These requirements need explicit modeling and testing.
A small reporting workload, an occasional export, or a problem fixable with an index or query change may be better handled where it is. Keep row-by-row transactions in an appropriate transactional system.
A few sentences about the problem are enough to start. You do not need to know which ClickHouse features you would use.