Head-to-head · 2026

Tinybird vs BigQuery

Tinybird is a European alternative to BigQuery — same web analytics use case, built under EU data-protection law.

By the EU Alternatives team Last updated

European alternative
Tinybird logo
Tinybird
Spain
Jurisdiction
EU / EEA
GDPR by default
Yes
US CLOUD Act exposure
No
Open source
No
Free tier
No
See full Tinybird profile
Non-EU
BigQuery logo
BigQuery
Google · US

BigQuery by Google.

Jurisdiction
US
GDPR by default
Requires DPA + TIA
US CLOUD Act exposure
Yes
All European alternatives to BigQuery

About Tinybird

Tinybird is a managed ClickHouse platform that lets developers ship enterprise-grade analytical features faster and at a fraction of the cost of self-hosting. It handles streaming ingestion, SQL-based APIs, and zero-downtime schema changes, turning columnar analytics into a first-class building block for product teams building real-time dashboards, personalisation, and usage-based billing.

The service bundles high-throughput HTTP ingestion, native connectors for Kafka, S3, and GCS, an API layer that publishes parameterised SQL endpoints, and an AI-friendly developer experience with TypeScript and Python SDKs, a CLI, Git workflows, and an MCP server. Dedicated clusters, SLAs, and observability tooling cover teams moving from prototype to heavy production workloads.

Key benefits:

  • Managed ClickHouse with serverless scaling and no cluster operations
  • Streaming ingestion via HTTP plus Kafka, S3, and GCS connectors
  • SQL-based APIs publish parameterised endpoints from versioned SQL files
  • Zero-downtime migrations keep schemas and APIs in sync during deploys
  • Git-native workflow with TypeScript, Python SDKs, and a full CLI
  • Observability built-in with per-endpoint metrics and query logs

Tinybird is a Spanish company headquartered in Madrid, offering EU hosting regions alongside US, for teams that need to keep customer data inside Europe. The platform is SOC 2 Type II certified, HIPAA and GDPR compliant, and supports SSO/SAML, giving European builders a sovereign alternative to US-only analytics clouds.

Trusted by Vercel, Canva, Dub, Resend, FanDuel, Phantom, and Plain to power customer-facing analytics, observability, and AI-driven product features.

Why choose Tinybird over BigQuery?

The decisive argument is data jurisdiction. BigQuery is headquartered in US, which means personal data processed through it can be subject to non-EU legal regimes — the US CLOUD Act, FISA 702, or similar laws depending on the provider. After the 2020 Schrems II ruling, EU organisations must carry out a transfer impact assessment for every such data flow.

Tinybird removes that overhead. As a Spain-based provider, it operates natively under GDPR, and data stays inside the EU/EEA by default. For regulated sectors — health, public administration, finance — that's not a nice-to-have but a requirement. For everyone else, it's concentration-risk insurance: you avoid depending on a single non-EU jurisdiction that can change the rules without warning.

Frequently asked questions

Is Tinybird a good alternative to BigQuery?
Yes — Tinybird is one of the top-ranked European alternatives to BigQuery in our directory, covering the same web analytics use case. It is headquartered in Spain, keeping your data under EU law by default.
What's the main difference between Tinybird and BigQuery?
The biggest difference is jurisdiction: Tinybird is based in Spain and operates under GDPR and EU data-protection law, while BigQuery is headquartered in US and may transfer data outside the EU. For regulated industries or organisations following Schrems II guidance, this difference is decisive.
Is Tinybird GDPR-compliant?
Tinybird is a European company based in Spain, so GDPR compliance is the default operating model — not a bolt-on. No transfer impact assessment is required for EU customers, unlike when using BigQuery.
How do I migrate from BigQuery to Tinybird?
Start by exporting your data from BigQuery (most providers offer an export in their settings). Then import into Tinybird using its native import tool or migration guide. Running both in parallel for a week catches any feature or workflow gaps before you fully switch.