BigQuery provides serverless, highly scalable enterprise data warehouse solutions for analytics and machine learning. Explore essential information for building BigQuery API integrations and webhooks.
Limitations to BigQuery API
- Pay-per-query model can lead to unexpected costs. Large queries or frequent API calls can quickly escalate billing, especially when processing terabytes of data or running complex joins.
- Rate limits require careful request management. The default 100,000 requests per day per project can bottleneck applications with heavy API usage, requiring quota increases for production workloads.
- Limited real-time capabilities without additional services. While BigQuery excels at batch processing, real-time streaming and webhook functionality require external tools or Google Cloud Pub/Sub integration.
- Sandbox limitations restrict production testing. The free sandbox expires data after 60 days and lacks DML operations, making it unsuitable for comprehensive development and testing scenarios.
Popular third party BigQuery API integrations
Coefficient
Coefficient is a powerful spreadsheet add-on designed specifically for non-technical users and spreadsheet enthusiasts who need direct, live access to over 70 business systems and databases—including BigQuery—from within Google Sheets or Excel. By automating report workflows, refreshing dashboards with real-time data, and enabling seamless data push-back to source systems, Coefficient helps teams make faster, more reliable business decisions using tools they already know.
Pricing (as of August 2025)
- Free Plan: $0/month – Import up to 5,000 rows/month, no automated refreshes, 3 data sources
- Starter Plan: $49/month – Up to 5,000 rows/month, 3 data sources, limited automated refreshes
- Pro Plan: $99/month per user – Unlimited rows, up to 6 data sources (10 accounts/source), up to 5,000 refreshes/month
- Enterprise Plan: Custom pricing – For large teams with high volume, advanced features, and priority support. Contact sales for details and volume discounts
Pros
- Intuitive for spreadsheet users—no SQL needed for many tasks
- Automates dashboard refreshes and report distribution over Slack/email
- AI Sheets assistant builds dashboards, queries, and explains data with business context
Cons
- Advanced automations limited to paid tiers
- Best suited for organizations heavily using spreadsheets
- May lack highly specialized ETL features of developer-first tools
Supermetrics
Supermetrics is a leading third-party connector platform for BigQuery, primarily focused on marketing, sales, and e-commerce data integrations. It allows users to extract, blend, and load data from various channels into BigQuery, as well as popular BI platforms, enabling comprehensive marketing analytics and reporting without the need for custom scripts or manual transfers.
Pricing (as of August 2025) Pricing for BigQuery as a destination is only available via custom quotes.
Pros
- Maintains connectors and APIs for 150+ data sources—no ongoing maintenance for users
- Granular pulls, customizable schemas, and historical data syncing
- Automates reporting, significantly reducing manual effort and reporting time
Cons
- Pricing structure can be complex and quickly becomes expensive with multiple destinations or sources
- Heavily focused on marketing and ad data—less flexibility outside these domains
- Occasional user reports of connection bugs or platform changes affecting workflows
CData
CData provides robust drivers, connectors, and replication tools to integrate BigQuery with nearly any BI, analytics, or reporting tool, including Excel, Tableau, Power BI, Python, and on-prem databases. Its solutions are ideal for organizations needing real-time or bi-directional access between BigQuery and a broad ecosystem of data tools or custom applications.
Pricing (as of August 2025)
- Excel Add-In or Power BI/Tableau Connector: $649/year per user for one BigQuery data source
- AWS Glue (ETL) Connector: $200/month (fixed subscription cost)
- Custom and Multi-user/enterprise licensing: Contact sales for quote; typical team and server pricing is higher if you need access from multiple platforms or workflows
Pros
- Supports live and bi-directional BigQuery integration with dozens of analytics and BI apps
- Enables point-and-click setup for automated replication and scheduled refreshes
- Comprehensive authentication options and compliance features (OAuth, SSO, granular permissions)
Cons
- Pricing may be steep for small businesses or single-use scenarios
- Geared more towards technical users or IT/engineering departments
- Advanced features (like custom ETL transformations) can require complex setup or scripting
BigQuery API videos
Scale your BigQuery analytics effortlessly
Enterprise data warehouses shouldn’t require enterprise complexity. Coefficient connects your BigQuery data directly to spreadsheets, making powerful analytics accessible to every team member. Your insights become immediate. Your reporting becomes seamless.
Get started with Coefficient and transform your BigQuery data into actionable business intelligence.