Google BigQuery integration services
Google BigQuery is a serverless cloud data warehouse in Google Cloud, popular with organizations that also use Google Analytics, Google Ads and Looker. Companies integrate BigQuery to combine ERP, CRM, eCommerce and marketing data for unified reporting, to feed scores and segments back to operational tools, and to power AI and ML with BigQuery ML and Vertex AI. AIONDATA builds on the BigQuery Storage Write API, batch loads from Cloud Storage, BigQuery Data Transfer Service, Datastream and Dataflow.
California-based leadership · Serving US and international teams
AI agent access
BigQuery and AI assistants (MCP)
Official MCP server: available. Google's remote BigQuery MCP server (bigquery.googleapis.com/mcp) has been generally available since April 20, 2026 with OAuth and IAM; results cap at 3,000 rows and queries at three minutes.
Besides syncing BigQuery with your other systems, we can give Claude, ChatGPT or Microsoft Copilot controlled access to it through an MCP server: read-only tools first, write actions with approval steps, and every call logged.
Status checked September 26, 2026.
Google BigQuery integration FAQs
How do you load ERP and SaaS data into BigQuery?
We use BigQuery Data Transfer Service where a connector exists, Datastream for CDC from MySQL, PostgreSQL, SQL Server or Oracle, and custom extractors writing through the Storage Write API or Cloud Storage loads for other APIs. Transformations run as scheduled queries, Dataform or dbt.
Can BigQuery insights be sent back into our business systems?
Yes. Reverse ETL from BigQuery to CRM, ERP or commerce platforms is common, for example syncing audience segments or lifetime value scores. We build change detection on the BigQuery side and a sync service that writes to the target APIs with retries and audit logs.
Can AI agents query BigQuery?
Yes. AIONDATA can expose BigQuery to AI agents through a custom MCP server that provides dataset discovery and governed query tools, with IAM and authorized views limiting what each agent can read. Query cost controls such as byte limits are enforced by the server.
Do you help control BigQuery costs?
Yes. Cost is driven by bytes scanned and storage, so we design partitioned and clustered tables, incremental models, and materialized views for frequent queries. We also set project-level quotas and monitor query patterns so integrations do not create runaway spend.
Need Google BigQuery connected to something?
Tell us the other system and what needs to flow between them. You'll get an honest scope and timeline.
Please share the systems and workflow—not credentials or customer records. We’ll confirm API access, scope and next steps.
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Bay Area roots. Enterprise experience.
Pravin’s experience includes Google and SmartBear. Sravan previously held leadership roles at JPMorgan Chase and First Republic Bank.
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9110 Alcosta Blvd Ste H345, San Ramon, CA 94583
US-led delivery, with engineering in India. Supporting US and international organizations.