Activate Revenue Intelligence Instantly with Draup Data in Snowflake

Native, secure data sharing with zero-copy access. Draup delivers enriched market and buyer data directly into Snowflake for instant analytics, AI workloads, and revenue intelligence without data movement.

Why Snowflake + Draup?

Draup enhances Snowflake by bringing enriched buyer, account, and market intelligence directly into a platform built for real-time analytics. This gives GTM teams instant access to live external signals without data movement, enabling faster insights, stronger alignment, and a reliable foundation for forecasting and revenue modeling.

About Snowflake

Snowflake is a cloud-native data platform built for secure data sharing, scalable analytics, and AI workloads. Its zero-copy architecture enables teams to collaborate on live data while maintaining governance, performance, and cost efficiency.

How the Integration Works

  • 1Draup shares enriched buyer, account, industry, and market datasets directly within Snowflake.
  • 2Teams consume these datasets instantly using Snowflake’s zero-copy sharing capability.
  • 3Live data powers analytics, AI models, dashboards, and GTM workflows across the organization.
  • 4Revenue teams operate from a single source of truth with no ETL, sync delays, or data drift.

GTM Teams with Snowflake + Draup see

  • Richer territory planning driven by real-time buyer and account intelligence.
  • Faster revenue insights using Snowflake’s compute and Draup’s structured datasets.
  • Improved forecasting accuracy with unified GTM and market context.
  • Stronger alignment across sales, marketing, and finance through a shared intelligence layer.

What You Can Do

  • Identify high-intent accounts using enriched buyer, hiring, and market signals.
  • Build predictive models for revenue, churn, territory potential, and pipeline risk.
  • Run dynamic segmentation and territory planning grounded in real market data.
  • Power sales, marketing, and finance dashboards through a single source of truth.

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.

Frequently Asked Questions

What does Draup add to Snowflake?

Draup delivers structured buyer, market, and account intelligence as live, query-ready datasets.

How does the integration support GTM workflows?

Teams can run analytics, build AI models, and align revenue decisions on top of Draup’s enriched data with no ETL or sync delays.

Can this improve forecasting accuracy?

Yes, Draup signals strengthen pipeline modeling, churn prediction, and revenue forecasting.

Which teams benefit most?

Sales reps, CSMs, account managers, SDR teams, and RevOps groups.

How frequently is the intelligence updated?

Data refreshes occur everyday so teams stay aligned with the latest account and market movements.

Impactful insights, delivered real-time

Access insights via API, custom data feeds, the Draup platform or using MCP

A image describes API Integration

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
Learn more
A image describes Custom Data Feed

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
Learn more
A image describes Draup AI-SaaS Platform

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
Book a demo

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
Learn more

Data Trust & Methodology at Draup

Draup uses a structured methodology to reduce inaccuracies and prevent misleading information, with a focus on transparency and responsible data practices.

1

Data Transparency and Coverage

Draup sources data from diverse, vetted global inputs including public datasets, labor information, professional ecosystems, and industry research. Coverage varies by region and role, and we supplement limited areas with alternative sources and analyst-led modeling.

2

Profiles Behind the Numbers

All aggregate insights related to buyers, roles, skills, and locations are grounded in structured, anonymized human and organizational profiles rather than pure extrapolation. This ensures context, reliability, and protection of personal identities.

3

Data Hygiene and Integrity

We maintain a clean, accurate data environment by removing duplicates, outdated entities, and invalid records. Automated checks powered by ML models and analyst reviews work together to ensure clarity and accuracy for every entity, such as buyer, role, skill, technology, or company. Learn more

4

AI Governance and Bias Mitigation

Our governance framework combines automated evaluations with Human-in-the-Loop reviews. We use statistical checks, audits, and cross-source comparisons to reduce demographic and structural bias before insights reach the platform.

5

Compensation Guardrails

Compensation insights use blended, directional inputs such as aggregated ranges, benchmarks, modeled distributions, and market signals. We distinguish clearly between modeled and reported data and apply guardrails to prevent over-interpretation.

6

Hourly and Frontline Workforce Coverage

For hourly, frontline, and blue-collar roles where digital visibility is limited, we incorporate government datasets, localized labor information, and specialized partners to build a more complete and balanced view of workforce supply and demand.

SOC 2
GDPR
ISO
EAIGG

Ethical AI, Backed by Global Standards

Draup, an AI-first company, upholds global standards like SOC 2, GDPR, and ISO 27001. As an EAIGG member, we audit for bias and build trustworthy AI.

Ready to see results?

Drive better decisions with unmatched, real-time data & agentic intelligence

Draup Logo
Ⓒ 2025 Draup. All Rights Reserved.
Llms.txt