Google BigQuery
From data warehouse to autonomous data and AI platform
- Also known as
- google-bigquery
What is Google BigQuery?
BigQuery is Google Cloud's serverless data analytics platform that automates the entire data life cycle from ingestion to AI-driven insights, providing autonomous data and AI capabilities for modern analytics.
Google BigQuery pricing
Plans, per-tier features and add-ons, dated and linked to live pricing. Pricing changes often; always verify at source before you rely on it.
Hybrid: Free tier (10 GiB storage, 1 TiB queries/mo). On-demand: $6.25/TiB beyond free. Capacity pricing via slots.
On-demand
FreePay per TiB of query data scanned. First 1 TiB per month free.
- queries
- 1 TiB/mo
- storage
- 10 GiB
- Automatic resource allocation
- Up to 2,000 concurrent slots (shared)
- Automatic bursting for smaller queries
Capacity (Slots)
Contact salesReserve compute capacity in advance using slots (virtual CPUs). Lower cost than on-demand for committed workloads.
- Dedicated capacity allocation
- BigQuery autoscaler support
- Slot commitments with reserved capacity
- Lower effective cost for sustained workloads
What Google BigQuery does
The capabilities that matter for data warehouse software, normalised so it lines up with every alternative. “-” means we haven't confirmed it, not that it's missing.
- Deployment
- -
- Architecture
- Serverless
- Compute model
- Serverless
- SQL dialect
- Vendor-specific
- Federation / lakehouse query-in-place
- ✓
- Table-format support
- Graph, Vector
- Concurrency scaling
- Automatic
- Streaming ingest
- ✓
- Semi-structured (JSON/VARIANT)
- First-class
- ML / in-DB functions
- ✓
- Data sharing / marketplace
- -
- Licence class
- Proprietary
Platform & deployment
Independently observed- Web
- Cloud / SaaS
Integrations (2)
Independently observed- Gemini
- Google Cloud
Google BigQuery alternatives
Other data warehouse software we track, ranked by the same independent score.
- SingleStoreThe Real-Time AI Database for Enterprise. Answers Included.medium · 64%
- Snowflakelow · 49%
- Apache IcebergThe open table format for analytic datasets.low · 34%
- Delta LakeBuild Lakehouses with Delta Lakelow · 41%
- DuckDBRun analytics where your data liveslow · 36%
- DremioThe Agentic Lakehouse for AI and Analyticsmedium · 63%
The Vioscale score: one lens on the evidence
Not user reviews and not a paid placement: a confidence-weighted blend of the independent signals below (adoption, activity, security posture, and more), which you can sort and re-weight yourself. Vendors can correct their listing but can never move their rank, and stars are weighted low as a vanity metric. It is one way to read the evidence for Google BigQuery, not the verdict.
| Signal | Score | Weight | Contribution | Evidence |
|---|---|---|---|---|
| Reliability | 50 | 30.00 | 1500.0 | ✓ |
| Pricing Transparency | 80 | 12.00 | 960.0 | ✓ |
| Capabilities | 58 | 12.00 | 693.8 | ✓ |
| Price Level | 80 | 8.00 | 640.0 | ✓ |
| Integrations | 14 | 16.00 | 219.5 | ✓ |
| Security Posture | 0 | 22.00 | 0.0 | - |
Computed . Re-weight it by intent, or see the full method.
All data & sourcesshow ↓
Every value we hold, with its source, retrieval date, and confidence. This is the evidence behind the score: don't trust it, verify it.
Features
| Attribute | Value | Evidence |
|---|---|---|
| Capabilities | {"in_db_ml":true,"sql_dialect":"vendor","architecture":"serverless","compute_model":"serverless","license_class":"proprietary","table_formats":"Graph, Vector","semi_structured":"first_class","federation_query":true,"streaming_ingest":true,"concurrency_scaling":"automatic"} | mediumsource · 2026-08-01 · 60% |
Integrations
| Attribute | Value | Evidence |
|---|---|---|
| Count | 2 | mediumsource · 2026-08-01 · 60% |
Pricing
Reliability
| Attribute | Value | Evidence |
|---|---|---|
| Status page | Yes | mediumsource · 2026-08-01 · 60% |