Use ClickHouse with Engineering Teams

This split is really a people and operating model decision, not just a database benchmark. Snowflake turns concurrency into a managed cloud bill, because extra clusters spin up automatically when many users hit the system at once. ClickHouse turns concurrency into an engineering problem, because teams have to precompute hot queries, choose shard layouts, and tune replicas. That is why backend heavy teams can get much lower cost and faster response times from ClickHouse, while analytics teams often move faster on Snowflake.

• At AstraZeneca, ClickHouse sits as the speed layer for agentic AI and real time retrieval, while Snowflake remains the governance and transformation layer. In practice that means Snowflake handles regulated reporting and cross domain SQL, while ClickHouse serves sub second queries over patient and clinical data.
  1 sacra
• The operational burden is concrete. The team described ClickHouse as needing engineers who understand cluster management, autoscaling, backup strategy, indexing, table engine choice, sharding, and replicas. Snowflake removes much of that work with multi cluster warehouses that automatically add and remove clusters as query queues build or fall.
  1 sacra 2 snowflake 3 clickhouse
• The payoff for doing that work can be large. In this deployment, complex groupings across several petabytes ran in under 200 milliseconds on ClickHouse, versus minutes on Databricks, and the broader ClickHouse market has grown around latency sensitive workloads like embedded analytics and observability where teams accept more tuning in exchange for lower query cost.
  1 sacra 4 sacra

The next step in this market is a clearer bifurcation. Snowflake is likely to keep winning teams that want analytics infrastructure to feel invisible. ClickHouse is likely to keep winning teams building user facing analytics and AI retrieval systems where every 100 milliseconds matters, and where a strong engineering bench can turn database tuning into durable product advantage.