BigQuery BigQuery vs Snowflake
A side-by-side Data Warehouse comparison of BigQuery and Snowflake — capability coverage, pricing, and stack fit, with 43 of 45 recorded cells citing the vendors' own documentation. No referral fees; the data is ours.
Overlapping — These overlap, and plenty of teams deliberately run both.
Functionally interchangeable as the primary analytics warehouse, but many organisations deliberately run two — cloud commitments, data residency, or estates inherited through acquisition. Consolidation is a multi-quarter migration rather than a cancelled licence, so treat this as worth evaluating rather than as recoverable spend.
Drafted by an AI model and accepted into the catalog; overlap verdicts are not all checked by hand.
Switching is a project, not a swap. A judgement, not computed from the capability data.
Capability comparison
| Capability | BigQuery | Snowflake | ||||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| On one record only 5 | ||||||||||||||
| Object / Cloud Storage | Not offered Object / Cloud StorageNot offered BigQuery documentation treats Cloud Storage as an external data source rather than providing object storage. docs.cloud.google.com/bigquery/docs/introduction ↗ Checked · 6 of 6 passes | Core Object / Cloud StorageCore curated quick-win 2026-06 No source recorded 22 Jun 2026 · Verified by hand | ||||||||||||
| Operational Database | Not offered Operational DatabaseNot offered BigQuery is documented as an analytical warehouse, not a transactional operational database. docs.cloud.google.com/bigquery/docs/introduction ↗ Checked · 6 of 6 passes | Core Operational DatabaseCore Hybrid tables provide generally available transactional and analytical workloads with low-latency reads and writes. docs.snowflake.com/en/user-guide/tutorials/getting-… ↗ 15 Sept 2026 · AI-evaluated | ||||||||||||
| Predictive Scoring / Propensity | Core Predictive Scoring / PropensityCore BigQuery ML predictive machine learning and inference cloud.google.com/bigquery/docs/ai-introduction ↗ 15 Sept 2026 · Verified by hand | — | ||||||||||||
| Conversational AI / Virtual Agents | Not offered Conversational AI / Virtual AgentsNot offered Conversational analytics is documented for chatting with data rather than customer-facing support or sales. docs.cloud.google.com/bigquery/docs/conversational-ana… ↗ Checked · 6 of 6 passes | Supported Conversational AI / Virtual AgentsSupported Cortex Agents supports conversational analytics in Microsoft Teams and Microsoft 365 Copilot. docs.snowflake.com/en/user-guide/snowflake-cortex/c… ↗ 15 Sept 2026 · AI-evaluated | ||||||||||||
| Event Streaming Infrastructure | Not offered Event Streaming InfrastructureNot offered Checked for a native message broker or event-streaming platform; BigQuery documents streaming ingestion instead. docs.cloud.google.com/bigquery/docs ↗ Checked · 6 of 6 passes | Supported Event Streaming InfrastructureSupported Snowpipe Streaming ingests application events, Kafka topics, and CDC streams docs.snowflake.com/en/en/user-guide/snowpipe-stream… ↗ 15 Sept 2026 · AI-evaluated | ||||||||||||
| On both records 20 | ||||||||||||||
Data integration 4 · graded apart
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Data storage 2 · all core on 1
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Data modeling 3 · graded apart
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Audience 1 · graded apart
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Analytics 2 · graded apart
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Governance 3 · graded apart
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AI & agents 4 · all core on 1
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Customer data platform 1 · graded apart
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Not offered means the evidence sweep read the vendor's documentation and did not find it — hover to see the page it checked. — means no verdict either way. Hover a recorded cell to read its evidence and source; a cell with no source says so, and each cell says whether an AI pass or a person set the grade.
Sources · 43 pages on the vendors' own sites
What BigQuery adds
On BigQuery's record, not on Snowflake's
- Predictive Scoring / Propensity
- Pricing
- From $6.25 per TiB scanned (on-demand compute); editions from $0.04 per slot hour
What Snowflake adds
On Snowflake's record, not on BigQuery's
- Object / Cloud Storage
- Operational Database
- Pricing
- Usage-based
BigQuery vs Snowflake — FAQ
What is the difference between BigQuery and Snowflake?
Both are Data Warehouse tools. BigQuery's record includes Predictive Scoring / Propensity, which Snowflake's does not, while Snowflake's includes Object / Cloud Storage and Operational Database. The matrix above shows 43 of 45 recorded cells citing the vendors' own documentation.
Do I need both BigQuery and Snowflake?
Often not — functionally interchangeable as the primary analytics warehouse, but many organisations deliberately run two — cloud commitments, data residency, or estates inherited through acquisition. Consolidation is a multi-quarter migration rather than a cancelled licence, so treat this as worth evaluating rather than as recoverable spend. The parts that do not overlap: Predictive Scoring / Propensity, Object / Cloud Storage, Operational Database. The matrix above shows where the records actually differ.
How do BigQuery and Snowflake compare on price?
BigQuery: From $6.25 per TiB scanned (on-demand compute); editions from $0.04 per slot hour. Snowflake: Usage-based. Check each vendor's page for current rates.
Before you choose BigQuery or Snowflake, check what your stack already covers
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