ConnectorAvailable

Connect BigQuery to your datalake

Bring BigQuery data into a central environment, refreshed at the frequency you set and ready for dashboards, AI and reports — no manual exports.

Connector status

Available. It can be configured and run today, in the platform's normal flow.

The problem

Data that lives in BigQuery (Google Cloud's data warehouse) tends to stay isolated from the rest of the company. To analyze it alongside ERP, spreadsheets and other sources, someone exports and cross-references everything by hand — creating rework and risk of error.

How to connect BigQuery

You set up the BigQuery connection once, define the refresh frequency and data starts arriving in your datalake on schedule, organized in layers.

Already have data in BigQuery?

If your company has already built up datasets in BigQuery — from an old project, a system that exports there or another team — the connector brings those tables into your ingestia.io environment through scheduled ingestion, including partitioned tables. No painful migration: the source stays where it is.

From a standalone warehouse to a complete platform

Having data in BigQuery isn't the same as having a platform: scheduling, cleaning layers, BI and access governance are missing. Once connected to the ingestia.io environment, those datasets join the same flow as your other sources — cleaned in the Silver and Gold layers, visualized in the native BI and available to AI in natural language.

What you get

  • BigQuery data centralized alongside your other sources
  • Scheduled ingestion at the frequency the business needs
  • Organization into Bronze, Silver and Gold layers
  • Dashboards in the native BI and natural-language questions to the AI
  • Prepared data readable by Power BI, Excel and other tools

How ingestia.io helps

ingestia.io connects BigQuery, databases, files, spreadsheets and systems on a single data platform, with scheduled ingestion and governance. You make the most of what already exists in BigQuery and gain what was missing around it: pipelines, layers, native BI, AI and cost control, on a monthly plan with usage credits.

Does your company need to centralize data?

Take the ingestia.io Data Structure Simulator and find out which path makes the most sense to organize your sources, cut rework and build a reliable foundation for reports, dashboards and integrations.