All integrations

BigQuery integration.

Run your Data Hub on BigQuery. Bespoke pipeline, customer-owned, modeled to your business.

§ 01How a BigQuery engagement works

Jourier builds the Data Hub on top of BigQuery (your existing environment, or a new one). Operational systems flow in via real-time CDC and webhooks. Modeled tables in BigQuery become the layer that BI tools, AI agents, MCP servers, and bespoke applications all read from.

BigQuery is a serverless data warehouse. Jourier brings the modeling, the pipelines, and the consumption layers, on top of BigQuery's engine.

§ 02Source systems we land in BigQuery
SalesforceSalesforce HubSpotHubSpot PipedrivePipedrive ZohoZoho Microsoft Dynamics CRMMicrosoft Dynamics CRM ShopifyShopify Adobe MagentoAdobe Magento WooCommerceWooCommerce StripeStripe PayPalPayPal NetvisorNetvisor ProcountorProcountor FennoaFennoa FortnoxFortnox XeroXero QuickBooksQuickBooks SAPSAP NetSuiteNetSuite Microsoft Business CentralMicrosoft Business Central OdooOdoo MailchimpMailchimp KlaviyoKlaviyo ActiveCampaignActiveCampaign SendGridSendGrid GitHubGitHub GitLabGitLab JiraJira AsanaAsana NotionNotion SlackSlack
See all 421 integrations →
§ 03Why BigQuery

Pick BigQuery when your customer cloud already hosts it, when the workload pattern fits BigQuery's strengths, or when your team has the BigQuery skills in-house. Jourier doesn't sell BigQuery licences — your contract stays with Google Cloud. We bring the engineering and the modeling on top.

§ 04Questions
Can Jourier work with my existing BigQuery environment?

Yes. Jourier builds the Data Hub on top of your existing BigQuery setup: same workspace, same compute, same governance. Source pipelines, modeled tables, and consumption layers all live inside BigQuery unless you ask otherwise.

Does Jourier require BigQuery?

No. Jourier supports BigQuery as one of several backends. If your stack already runs on Snowflake, Databricks, Microsoft Fabric, BigQuery, Postgres, or Supabase, the Data Hub adapts to it. BigQuery is the right call when your customer cloud already hosts it or when the workload pattern fits BigQuery's strengths.

How does the Data Hub differ from off-the-shelf BigQuery content?

Off-the-shelf BigQuery content is generic. Jourier's Data Hub is bespoke, modeled to your operations, joined across the systems your business actually runs. Same BigQuery engine underneath, but a layer designed for your business, not someone else's.

Who owns the BigQuery notebooks, schemas, and configuration?

You do. Jourier delivers everything as code in your BigQuery workspace, with documentation. Hand it to another vendor or take it over yourself whenever you want. No lock-in, no per-engagement licence.

Can I switch warehouses later?

Yes. The Data Hub model is portable. Most of the SQL ports between BigQuery and another warehouse with light editing; ingestion pipelines can re-target. Migrations of this kind are also part of what Jourier does.

What does a Jourier engagement on BigQuery cost?

Bespoke project, scoped to the data that matters. BigQuery compute is paid directly to BigQuery's vendor (Jourier doesn't add a markup). Jourier's fee is project-based, not subscription-based. No platform fees if you self-host the orchestration.

Get started

Let’s discuss connecting your stack to BigQuery.

Book a meeting
Aleksi Stenberg Founder & CEO