Give Your Product or Agent Access to Google BigQuery Data
Let your users connect their BigQuery accounts, run SQL queries, sync warehouse data, and perform row-level operations — all from within your product, without building or maintaining the integration yourself.
What our users are building with Google Bigquery Integration
Explore ways to use Google Bigquery capabilities to build features your customers need.
Let Users Connect Their Own BigQuery Projects
Give customers the ability to authorize their own Google BigQuery accounts directly inside your product. viaSocket handles OAuth and token management, so your team doesn't need to build or maintain authentication flows. Each customer gets a separate, secure connection to their own datasets and projects.
Run SQL Queries Against Customer Data Warehouses
Enable your product to execute SQL queries against a connected BigQuery instance and return results directly in your interface. This is useful for analytics tools, reporting dashboards, and data exploration features where users expect to query their own BigQuery data without leaving your product.
Sync Application Data Into BigQuery Tables
Let your product automatically insert or update rows in a customer's BigQuery dataset as events happen in your application. Whether you're writing user activity logs, transaction records, or processed outputs, integrating BigQuery lets your customers keep their data warehouse in sync with what's happening in your product.
Build Data Pipeline Features Without Infrastructure Work
Products that help teams manage or orchestrate data pipelines can use the BigQuery integration to create tables, list datasets, and insert or delete rows programmatically. Instead of requiring customers to move data manually, your product can manage the full write cycle into their BigQuery environment.
Power AI Features With Warehouse-Scale Data
AI agents and LLM-powered applications can use the BigQuery integration to retrieve structured data at scale. By connecting to a customer's BigQuery project, your agent can query large datasets, retrieve relevant records, and ground its responses in real enterprise data — without each customer needing to build a custom connector.
Enable Cross-App Workflows Triggered by BigQuery Results
Combine BigQuery with other apps supported through viaSocket to build multi-step product features. For example, your product could run a BigQuery query, evaluate the results, and push findings to a CRM, send a Slack notification, or update a project management tool — creating end-to-end workflows that use your customers' warehouse data as the source of truth.
viaSocketGoogle BigqueryEverything You Need to Manage Google Bigquery Integrations
Add Google Bigquery to your product & agents today. viaSocket runs the infrastructure; your AI coding assistant does the setup.
Managed Authentication
Let your customers connect their Google Bigquery accounts without building and maintaining OAuth flows yourself.
Customer-Specific Connections
Manage separate Google Bigquery connections for each customer in your product & agents.
Actions, Triggers and Webhooks
Execute supported Google Bigquery actions and receive events through a consistent integration interface.
Managed Data Mapping
Map data between your product & agents and the formats expected by Google Bigquery.
Monitoring and Debugging
Track executions, inspect errors, and troubleshoot integration issues.
Your Product & Agents, Your Experience
Offer Google Bigquery integrations under your own branding and within your existing product & agents.
Available Actions and Triggers for Google Bigquery
What You Can Do with Google Bigquery
Explore available actions to let your product & agents interact with Google Bigquery.
- Delete RowsDeletes rows in a Google BigQuery table that match the condition you provide.
- Run SQL QueryRun a SQL query on Google BigQuery and return the results.
- Insert RowsAdds one or more rows to a BigQuery table.
- Update RowsChange specific fields for rows in a BigQuery table that match the rules you provide.
- Create TableCreates a new, empty table in a BigQuery dataset.
- List BigQuery ProjectsLists the BigQuery projects you have access to.
- List Datasets in ProjectLists datasets for the selected project.
- List Tables In DatasetLists all tables in a specified dataset.
Respond to Events in Google Bigquery
Use triggers to let your product & agents respond to events from connected Google Bigquery accounts.
No triggers are available for Google Bigquery yet.
About Google Bigquery
BigQuery is Google's serverless and highly scalable enterprise data warehouse, designed to make all your data analysts productive.
Learn more
About viaSocket
Connect 2,300+ apps to your product & agents with one prompt. Auth, events and actions handled. Free to start.
Learn moreFAQs about adding Google Bigquery to your product & agents
Find answers to common questions about integrating Google Bigquery into your product & agents, including authentication, supported actions, triggers, and implementation.
How do I integrate Google BigQuery into my product?
You can use viaSocket as your integration layer. It provides managed OAuth authentication, a consistent API for executing BigQuery actions like running SQL queries, inserting rows, and creating tables, and per-customer connection management. You connect your product to viaSocket and it handles the infrastructure for BigQuery integration.
Can my customers connect their own Google BigQuery accounts?
Yes. viaSocket supports customer-specific connections, meaning each user in your product can authorize their own BigQuery account. Their credentials are stored and managed separately, so one customer's data is never accessible through another's connection.
What BigQuery operations are available through the integration?
Through viaSocket, your product can run SQL queries, insert rows, update rows, delete rows, create tables, list datasets, and list projects in a connected BigQuery account. This covers most read and write operations needed to build data-driven product features.
Why use an integration layer instead of building the BigQuery integration directly?
Building a BigQuery integration directly means handling OAuth flows, token refresh, error handling, schema mapping, and ongoing maintenance as the BigQuery API evolves. An integration layer like viaSocket manages all of this for you, so your engineering team can focus on the product features themselves rather than the plumbing underneath them.
Can I offer the BigQuery integration under my own product's branding?
Yes. viaSocket lets you present the BigQuery connection experience within your own product interface and under your own branding. Your customers see a native integration experience without any indication that a third-party integration layer is powering it.
Bring Google Bigquery Into Your Product & Agents
- Managed auth
- Per-customer connections
- Actions & triggers
- Data mapping
- Monitoring & logs
- Your branding