BigQuery
Redshift BigQuery vs Redshift
A side-by-side Data Warehouse comparison of BigQuery and Redshift — capability coverage, pricing, and stack fit, with every recorded cell 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 | Redshift | |||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|
| On one record only 6 | |||||||||||
| Agentic AI / Autonomous Agents | Core Agentic AI / Autonomous AgentsCore BigQuery names Data Science Agent, Data Engineering Agent, and Conversational Analytics Agent. cloud.google.com/bigquery ↗ 15 Sept 2026 · AI-evaluated | Not offered Agentic AI / Autonomous AgentsNot offered Redshift documentation searched for autonomous or semi-autonomous agents. docs.aws.amazon.com/redshift ↗ Checked · 6 of 6 passes | |||||||||
| 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 | — | |||||||||
| Agent Builder / Orchestration | Supported Agent Builder / OrchestrationSupported BigQuery lets users create data agents with instructions, knowledge sources, and verified queries. docs.cloud.google.com/bigquery/docs/create-data-agents ↗ 15 Sept 2026 · AI-evaluated | Not offered Agent Builder / OrchestrationNot offered Redshift documentation searched for agent builders, tools, guardrails, handoffs, and multi-agent orchestration. docs.aws.amazon.com/redshift ↗ Checked · 6 of 6 passes | |||||||||
| AI Governance & Guardrails | Supported AI Governance & GuardrailsSupported BigQuery governance includes AI-asset inventory, IAM, audit logs, data quality, and data masking. docs.cloud.google.com/bigquery/docs/data-governance ↗ 15 Sept 2026 · AI-evaluated | Not offered AI Governance & GuardrailsNot offered Redshift documents generic database audit logging but not AI model inventories, prompt guardrails, or AI approval workflows. docs.aws.amazon.com/redshift/latest/mgmt/db-auditing… ↗ Checked · 4 of 6 passes | |||||||||
| Pipeline Orchestration | Supported Pipeline OrchestrationSupported BigQuery pipelines schedule and execute code assets in sequence. docs.cloud.google.com/bigquery/docs/workflows-introduc… ↗ 15 Sept 2026 · AI-evaluated | Not offered Pipeline OrchestrationNot offered Redshift documentation searched for DAG scheduling, dependency management, and pipeline orchestration. docs.aws.amazon.com/redshift ↗ Checked · 6 of 6 passes | |||||||||
| Semantic Layer | Supported Semantic LayerSupported The BigQuery product page describes a semantic layer for improving agent and analytics accuracy. cloud.google.com/bigquery ↗ 15 Sept 2026 · AI-evaluated | Not offered Semantic LayerNot offered Redshift documentation searched for governed metrics, semantic models, and reusable measures layers. docs.aws.amazon.com/redshift ↗ Checked · 6 of 6 passes | |||||||||
| On both records 15 | |||||||||||
Data integration 3 · supported on all
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Data storage 2 · all core on 1
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Data modeling 2 · supported on all
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Audience 1 · supported on all
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Analytics 2 · supported on all
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Governance 2 · supported on all
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AI & agents 2 · supported on all
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Customer data platform 1 · supported on all
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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 · 36 pages on the vendors' own sites
What BigQuery adds
On BigQuery's record, not on Redshift's
- Agentic AI / Autonomous Agents
- Predictive Scoring / Propensity
- Pricing
- From $6.25 per TiB scanned (on-demand compute); editions from $0.04 per slot hour
What Redshift adds
On Redshift's record, not on BigQuery's
Nothing on Redshift's record that BigQuery's does not also cover. If you run both, it is for reasons outside the capability list.
- Pricing
- From $0.543 per hour (Redshift Provisioned, on-demand)
BigQuery vs Redshift — FAQ
What is the difference between BigQuery and Redshift?
Both are Data Warehouse tools. BigQuery's record includes Agentic AI / Autonomous Agents and Predictive Scoring / Propensity, which Redshift's does not; the two records cover the same jobs. The matrix above shows every recorded cell citing the vendors' own documentation.
Do I need both BigQuery and Redshift?
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: Agentic AI / Autonomous Agents, Predictive Scoring / Propensity. The matrix above shows where the records actually differ.
How do BigQuery and Redshift compare on price?
BigQuery: From $6.25 per TiB scanned (on-demand compute); editions from $0.04 per slot hour. Redshift: From $0.543 per hour (Redshift Provisioned, on-demand). Check each vendor's page for current rates.
Before you choose BigQuery or Redshift, check what your stack already covers
Teams usually find the overlap is not where they expected. Name the tools you run and the Instant Stack Audit maps which ones duplicate capability — inside Data Warehouse and across the rest of the stack.
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BigQuery or Redshift? Decide in your stack's context.
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