> ## Documentation Index
> Fetch the complete documentation index at: https://private-7c7dfe99-mintlify-8c05c8a2.mintlify.site/llms.txt
> Use this file to discover all available pages before exploring further.

# Use cases

> Explore ClickHouse use cases including real-time analytics, observability, data warehousing, and agentic analytics

ClickHouse is suitable for use as both a **primary data store** and as an **analytics layer**.

Its columnar architecture, vectorized processing, and cloud-native design make it uniquely suited for analytical workloads that require both speed and scale.

| Use case                                                          | TLDR                                                                                                                                                                                                                                                 |
| ----------------------------------------------------------------- | ---------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- |
| [Real-time analytics](/get-started/use-cases/real-time-analytics) | Sub-second queries on billions of rows as data arrives. Ideal for customer-facing dashboards, live leaderboards, and any product feature that reads from a continuously updating event stream.                                                       |
| [Observability](/get-started/use-cases/observability)             | Ingest and query logs, metrics, and traces in a single ClickHouse database via ClickStack. Eliminates the three-pillar silo problem and gives correlated, full-fidelity analysis without pre-aggregation.                                            |
| [Data warehousing](/get-started/use-cases/data-warehousing)       | Pair ClickHouse with open table formats (Iceberg, Delta Lake, Hudi) on object storage to get ACID transactions, schema enforcement, and warehouse-grade query performance without locking your data away.                                            |
| [Agentic analytics](/get-started/use-cases/agentic-analytics)     | AI agents demand high concurrency and full-fidelity data simultaneously. ClickHouse converges real-time analytics, data warehousing, and observability into a single platform that agents can query directly via MCP or natural language interfaces. |