Comparison

Dremio vs Google BigQuery

On the evidence we track, Dremio leads this comparison with a composite score of 72/100. Scores are only directly comparable because these tools share a category; the full breakdown and every source is below.

Dremio full profile →Google BigQuery full profile →

Machine formatsJSON Markdown GraphQLor send Accept: application/json

★Dremio72

Google BigQuery46

Attribute comparison across 2 tools
Attribute	DremioLeader	Google BigQuery
Vioscale score	72 / 100medium · 71%	46 / 100low · 49%
Pricing
Free tierpricing.free_tier	✓	✓
Modelpricing.model	freemium	freemium
Price levelpricing.price_level	low	low
Transparentpricing.transparent	✗	✗
Integrations
Countintegrations.count	13	4
Security
Disclosure policysecurity.disclosure_policy	✓	-
Gdprsecurity.gdpr	✓	-
Iso27001security.iso27001	✓	-
Soc2security.soc2	✓	-
Reliability
Sla pctreliability.sla_pct	99.99	-
Status pagereliability.status_page	✓	✓
Market
Availabilitymarket.availability	-	Available worldwide

Score

Vioscale score

Dremio72 / 100medium · 71%

Google BigQuery46 / 100low · 49%

Pricing

Free tier

Dremio✓

Google BigQuery✓

Model

Dremiofreemium

Google BigQueryfreemium

Price level

Dremiolow

Google BigQuerylow

Transparent

Dremio✗

Google BigQuery✗

Integrations

Count

Dremio13

Google BigQuery4

Security

Disclosure policy

Dremio✓

Google BigQuery–

Gdpr

Dremio✓

Google BigQuery–

Iso27001

Dremio✓

Google BigQuery–

Soc2

Dremio✓

Google BigQuery–

Reliability

Sla pct

Dremio99.99

Google BigQuery–

Status page

Dremio✓

Google BigQuery✓

Market

Availability

Dremio–

Google BigQueryAvailable worldwide

Capabilities

Feature-by-feature on the axes that matter for data warehouse software. “-” means undocumented, not absent.

Capability comparison for Data Warehouse Software
Capability	Dremio	Google BigQuery
Deployment
Deployment	Hybrid	Managed cloud
Architecture
Architecture	Separated storage/compute	Serverless
Compute model	-	-
Query
SQL dialect	Vendor-specific	Vendor-specific
Federation / lakehouse query-in-place	✓	✓
Interoperability
Table-format support	Apache Iceberg	-
Scale
Concurrency scaling	-	-
Ingestion
Streaming ingest	✓	✗
Data model
Semi-structured (JSON/VARIANT)	First-class	First-class
Analytics
ML / in-DB functions	-	✓
Sharing
Data sharing / marketplace	-	✓
Licensing
Licence class	Source-available	Proprietary

Deployment

DremioHybrid

Google BigQueryManaged cloud

Architecture

DremioSeparated storage/compute

Google BigQueryServerless

Compute model

Dremio-

Google BigQuery-

Query

SQL dialect

DremioVendor-specific

Google BigQueryVendor-specific

Federation / lakehouse query-in-place

Dremio✓

Google BigQuery✓

Interoperability

Table-format support

DremioApache Iceberg

Google BigQuery-

Scale

Concurrency scaling

Dremio-

Google BigQuery-

Ingestion

Streaming ingest

Dremio✓

Google BigQuery✗

Data model

Semi-structured (JSON/VARIANT)

DremioFirst-class

Google BigQueryFirst-class

Analytics

ML / in-DB functions

Dremio-

Google BigQuery✓

Sharing

Data sharing / marketplace

Dremio-

Google BigQuery✓

Licensing

Licence class

DremioSource-available

Google BigQueryProprietary

What each one is

The product in its own terms, so the numbers below have context.

Dremio

Leader

An open-source lakehouse platform built on Apache Iceberg that enables data analytics and AI workloads with support for CDC, multi-source ingestion, and SQL-based querying.

Independently observed

Google BigQuery

BigQuery is a fully managed, serverless data warehouse that supports analytics, machine learning, and AI applications. It enables users to store and query large datasets while integrating built-in AI capabilities for predictive analytics and natural language interaction.

Independently observed

Pricing

List pricing as published by each vendor, with the date we read it. Always verify at the source before you buy.

Dremio

Leader

from $0.20/moconsumptionFree tier30-day trial

From $0.20 per DCU. Free Community Edition. 30-day free trial.

Dremio Cloud$0.20 per DCU. $400 credit free trial for 30 days.
- Fully managed infrastructure (AWS, Azure coming soon)
- Automatic scaling and optimization
- Automatic feature releases
- Zero infrastructure management
- AI Agent
- +4 more
Dremio EnterpriseContact sales
- Self-managed on Kubernetes, on-premises, or cloud (AWS, Azure, GCP)
- Full control over infrastructure, security, compliance
- Flexible deployment options
- AI Agent
- AI Semantic Layer
- +4 more
Dremio Community EditionFree
- Query engine

as of 2026-08-03verify ↗

Google BigQuery

Usage-basedFree tier

Free tier with 10 GiB storage and 1 TiB monthly queries. New customers receive $300 in free credits.

Free tierFree

as of 2026-08-14verify ↗

Platform & deployment

Where each product runs and how it can be hosted. A dash means undocumented, not unsupported.

Platform and deployment support comparison
Supports	Dremio	Google BigQuery
WebPlatforms	✓	✓
CLIPlatforms	✓	✗
Cloud / SaaSDeployment	✓	✓
Self-hostedDeployment	✓	✗

Platforms

Web

Dremio✓

Google BigQuery✓

CLI

Dremio✓

Google BigQuery✗

Deployment

Cloud / SaaS

Dremio✓

Google BigQuery✓

Self-hosted

Dremio✓

Google BigQuery✗

Integrations

What each product connects to. Counts come from the vendor's own integration directory where one exists.

Dremio

Leader

13 total

Apache Iceberg
Apache Polaris
dbt
PostgreSQL
MySQL
MongoDB
DynamoDB
Oracle
SQL Server
DB2
AWS EMR
AWS Glue
Apache Spark

Independently observed

Google BigQuery

4 total

Gemini Enterprise Agent Platform
Data Engineering Agent
Data Science Agent
Conversational Analytics Agent

Independently observed

Comparison generated from independently-sourced facts. Every value links to its source and retrieval date. See the method.