Unlock Buyer & Account Intelligence in Cloudera Data Platform (CDP) with Draup
A hybrid platform for big data and ML workloads. Draup data integrates for flexible, multi-cloud workforce analytics.
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Why Draup + CDP
Draup brings external buyer, account, and market signals into CDP’s governed environment so enterprise teams can build large-scale analytics, ML models, and dashboards that blend internal CRM data with trusted external signals, without duplicating data or compromising security.
About Cloudera Data Platform (CDP)
Cloudera Data Platform is a hybrid cloud platform for big data, machine learning, and analytics. It offers flexibility for organizations running multi-cloud or on-premises environments.
How the Integration Works
- 1Stream Draup’s enriched account, buyer, and market intelligence flows directly into your data platform, aligning with existing GTM, revenue, and analytics pipelines.
- 2Enrich Datasets surface high-value signals, buyer intent, account readiness, competitive activity, hiring momentum, firmographics, and market shifts.
- 3Analyze Revenue, sales, and RevOps teams run real-time analytics, forecasting, and segmentation by blending Draup intelligence with internal CRM and pipeline data.
- 4Activate Insights power targeting, territory planning, forecasting, AI copilots, and GTM execution, helping teams prioritize the right accounts and close faster.
GTM Teams with CDP + Draup see
- Unified access to enriched account, buyer, and market intelligence across analytics and activation layers
- Clear visibility into buyer intent, account readiness, and competitive movement at scale
- Faster segmentation and prioritization using real-time market and revenue signals
- Stronger alignment between sales, marketing, RevOps, and analytics teams through a shared data foundation
What You Can Do
- Combine Draup sales signals with operational data for deeper forecasting.
- Run scalable competitive trend analysis across markets.
- Build ML models for churn, upsell, and pipeline risk.
- Deploy dashboards for executive, sales, and RevOps visibility.
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
How does Draup fit into CDP environments?
Draup datasets are designed to integrate into CDP’s governed analytics and ML workflows.
Can Draup data be used across hybrid or multi-cloud setups?
Yes, many teams use Draup intelligence across hybrid environments supported by CDP.
Which teams benefit most from this setup?
Talent acquisition teams, recruiters, HR strategy groups, and talent intelligence functions.
Is Draup compatible with large-scale analytics workloads?
Draup datasets are built to support high-volume querying and enterprise-scale analysis.
Does this support advanced ML and AI use cases?
Yes, Draup data is frequently used to train predictive and analytical models within CDP.
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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