ClickHouse vs Snowflake vs BigQuery for Analytics

Analytical database choice in 2026 is one of the most consequential platform decisions. Honest tradeoffs.

ClickHouse: open-source columnar

ClickHouse is open-source, columnar, and extremely fast at scans. You operate the cluster (or pay for ClickHouse Cloud); the choice trades operational cost against query cost.

• Open-source columnar. Vectorised execution engine; extremely fast scans on analytical workloads; the speed is the product.
• Self-host or Cloud. Self-host gets the lowest unit cost; ClickHouse Cloud removes the operational tax at managed pricing.
• Sweet spot. High-volume analytical workloads where query latency matters; product analytics, observability, log search.
• Trade. Operational complexity; sharding, replication, ZooKeeper/Keeper coordination; team needs the muscle.

Snowflake: managed warehouse

Snowflake is the managed warehouse with the broadest ecosystem. Separation of storage and compute, multi-cloud, mature governance; the trade is per-credit cost.

• Managed. Zero operational overhead; the team focuses on schema and queries, not on the cluster.
• Storage / compute split. Independent scaling; cheap storage, on-demand compute; pay only for what you query.
• Multi-cloud. Runs on AWS, GCP, Azure; reduces vendor lock-in at the cloud layer.
• Trade. Per-credit cost adds up at scale; without auto-suspend and right-sized warehouses, the bill compounds.

BigQuery: serverless analytics

BigQuery is the serverless option: no cluster, no warehouse to size, pay-per-scan or flat-rate slots. Tightly integrated with GCP; the right choice when you live in GCP and want analytics without provisioning.

• Serverless. No cluster to size or maintain; submit query, get result; the operational story is "submit and wait."
• Pay-per-scan. Charged on bytes scanned; partition pruning and column pruning are the cost levers.
• GCP-native. Tightly integrated with Cloud Storage, Pub/Sub, Dataflow; the GCP analytics centre of gravity.
• Trade. Pay-per-scan can explode under uncapped queries; one bad analyst, one big bill; flat-rate slots cap the risk.

Cost at common volumes

For 1 PB stored, 10 TB scanned per day, the rough monthly costs land roughly here. Numbers are 2026 list prices; negotiated commitments cut them substantially.

• ClickHouse Cloud. $5-15k/mo at this volume; the lowest managed unit cost for analytical workloads.
• Snowflake. $20-60k/mo with reasonable warehouse sizing; auto-suspend is mandatory at this volume.
• BigQuery. $40-150k/mo on-demand; $20-50k/mo with flat-rate slots; cap the on-demand path or budget cap it.
• ClickHouse self-hosted. Cheaper than ClickHouse Cloud; budget for 1-2 engineers operating the cluster as the offset.

Antipatterns

• BigQuery on-demand on uncapped queries. Bill explodes; one bad analyst.
• Snowflake without auto-suspend. Idle warehouse keeps charging.
• ClickHouse without operational discipline. Unhealthy cluster > saved subscription.

What to do this week

Three moves. (1) Run a 30-day trial of the candidate against your real workload. (2) Compare TCO + workflow fit, not just feature checklists. (3) Decide and commit; running both in parallel is the most expensive option.