Supercharge Revenue Insights with Draup Data in Google BigQuery
Serverless and lightning fast. With Draup data in BigQuery, run real-time talent and market analytics at scale.
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Why Google BigQuery + Draup for Sales?
Draup’s account, buyer, and market intelligence connects seamlessly with BigQuery’s real-time, serverless analytics engine. Sales teams gain instant visibility into growth signals, competitive movements, and buyer readiness, helping accelerate revenue decisions across fast-moving GTM environments.
About Google BigQuery
BigQuery is Google’s fully serverless, highly scalable enterprise data warehouse. It is known for real-time analytics, advanced query capabilities, and seamless integration with AI workflows.
How the Integration Works
- 1Stream Draup’s account and buyer datasets into BigQuery tables.
- 2Blend external signals with CRM or revenue data already stored in BigQuery.
- 3Query opportunity patterns, buyer movement, and revenue signals in real time.
- 4Activate insights across dashboards, forecasting workflows, and GTM engines.
Talent teams with Google BigQuery + Draup see
- More precise targeting built on real, validated buyer insights.
- Sharper forecasting enabled by unified internal + external intelligence.
- Faster recognition of competitive shifts and market opportunities.
- A fully AI-ready data foundation for modern GTM execution.
What you can do
- Identify high-propensity accounts using real-time hiring, industry, and digital maturity signals.
- Build revenue, churn, and upsell models using unified BigQuery datasets.
- Track competitive activity, market shifts, and expansion signals at scale.
- Prioritize territories based on opportunity density and account movements.
Draup Works Wherever Your Teams Work
Draup connects with 30+ CRMs and sales platforms, so your sellers, marketers, and RevOps leaders get intelligence in the tools they already use.
By filling up this form, you agree to allow Draup to share this data with our affiliates, subsidiaries and third parties
Frequently Asked Questions
What type of sales intelligence does Draup deliver into BigQuery?
Draup provides structured account, buyer, and market datasets that can be organized within your BigQuery environment for richer GTM insights.
How does Draup typically align with BigQuery?
The integration is designed to fit smoothly into existing BigQuery workflows, making enriched intelligence accessible with minimal friction.
Can this help improve targeting and forecasting?
Many teams use the combined view to refine targeting strategies and strengthen revenue prediction models.
Which teams benefit the most from this integration?
Marketing, sales, SDR teams, and RevOps generally see the strongest improvements.
How frequently is the intelligence updated?
Data refreshes occur everyday so teams stay aligned with the latest account and market movements.
Does this support AI or copilot use cases?
Yes, teams often use the structured datasets in S3 as high-quality inputs for sales AI, copilots, and LLM-driven automations.
Impactful insights, delivered real-time
Access insights via API, custom data feeds, the Draup platform or using MCP
APIs & Integrations
Best for
Embedding live insights in workflows without storing data
- Native integrations with 33+ CRMs, like Salesforce, Hubspot, Microsoft Dynamics CRM, etc.
- Real-time access to critical data
- Enhanced security and data Integrity
- Efficient API performance with flexible limits
Custom Data Feed
Best for
Analytics at scale & joining Draup with internal data
- Highly customizable feeds for workflow needs
- Scheduled pushes to data lakes/warehouses (S3, ADLS, BigQuery, SFTP)
- Scalable use cases with the data
- Integrates with internal data assets for co-pilots/agents
Draup Platform
Best for
Fastest time-to-value,
no build required
- Ready-to-use UI with 200+ productized use cases & workflows
- Leverage visualizations & workflows to drive seller action with no overhead
- Enterprise controls: SSO, RBAC, governance
- Integrates UI & functionality into CRM apps
Model Context Protocol
Best for
Real-time Al workflows & LLM applications
- Native integration with Claude, OpenAl, and MCP-compatible Al tools
- Zero ETL, models query live data without pipelines or reindexing
- Governed access with token-based scopes, Pll masking, and audit trails
- Grounded, real-time data prevents LLMs from generating outdated or inaccurate insight
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