How does RDStation CRM data replication to Redshift work?

Kondado connects directly to your RDStation CRM account using your API credentials, then extracts data from your selected pipelines and loads it into your Redshift cluster. The platform handles schema creation and updates automatically, maintaining consistent data structures as your CRM evolves without requiring manual intervention.

What RDStation CRM data can I replicate to Redshift?

You can choose from nine available pipelines including Deals, Contacts, Companies, Tasks, and Deals Stage History, covering 189 distinct fields across your sales operations. This includes deal values, contact information, custom field definitions, activity notes, and user permissions for comprehensive warehouse analytics.

How often does RDStation CRM data update in Redshift?

Kondado updates your Redshift data on a configurable schedule that you control, with options ranging from every five minutes to daily intervals. This flexibility allows you to balance data freshness with warehouse compute costs based on your specific reporting and analysis requirements.

Can I combine RDStation CRM data with other sources in Redshift?

Yes, once your CRM data resides in Redshift, you can join it with information from marketing platforms, ERP systems, or financial databases using standard SQL. Kondado also supports sending the same RDStation CRM data to BigQuery , PostgreSQL , or Google Sheets simultaneously for multi-platform analytics.

Are there pre-built dashboards available for RDStation CRM data?

Yes, Kondado offers ready-made report templates including the RD Station CRM Looker Studio Report and RD Station CRM Power BI Report that connect directly to your replicated data. These templates provide immediate visibility into sales pipelines, conversion rates, and team performance without requiring you to build visualizations from scratch.

Do I need coding skills to send RDStation CRM data to Redshift?

No coding is required to establish the connection or maintain data flows, as Kondado provides a no-code interface for selecting pipelines and configuring update schedules. Technical teams can focus on writing SQL analytics in Redshift rather than building and maintaining data extraction scripts.

What happens to my RDStation CRM custom fields in Redshift?

The Custom Fields pipeline replicates your field definitions and values directly to Redshift as structured columns, preserving the customization you have built in your Brazilian CRM. This ensures that specialized data categories you created for your sales process remain available for segmentation and filtering in your warehouse queries.

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Send RDStation CRM Data to Redshift Automatically

Sending your RDStation CRM data to Redshift requires no coding or complex setup when you use Kondado. Simply connect your RDStation CRM account as a data source, select Redshift as your destination, and choose which pipelines to activate from the available options. Kondado handles the data extraction and loading automatically on your preferred schedule, whether you need updates every few minutes or once daily, ensuring your warehouse always contains current sales information.

Kondado provides a direct integration between RDStation CRM and Redshift, replicating your sales data, contact information, and deal history to your data warehouse on a configurable schedule without requiring engineering resources or maintenance.

Once your data lands in Redshift, you can combine RDStation CRM records with other business systems to build comprehensive analytics workflows that drive decision-making. Run SQL queries across your entire sales pipeline to identify bottlenecks, create unified customer views by joining CRM data with marketing platforms, or power Power BI and Looker Studio dashboards with fresh, query-ready datasets that update automatically.

Our prices start from $19 USD/month, and you can try Kondado for free for 14 days with no credit card required

With Kondado, you can replicate the Deals and Contacts pipelines to track every opportunity and relationship in your Redshift warehouse without manual exports or spreadsheet maintenance. Analyze the Deals Stage History pipeline to understand conversion velocity and identify exactly where prospects stall in your Brazilian sales process, enabling targeted coaching for your sales team and process optimization. Combine these datasets with the Companies pipeline to segment performance by organization size or industry, then join this CRM information with financial data already residing in Redshift to calculate precise customer acquisition costs and lifetime value metrics for comprehensive revenue analytics and forecasting.

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RDStation CRM data available for Redshift

available pipelines

189

extractable fields

Available integrations

Integration	Description
Notes	Activity records with fields like id, user_id, and date, enabling tracking of interactions and observations related to deals.
Custom Fields	Definitions of custom fields with fields like id, label, and type, allowing customization of contact and deal data.
Contacts	Contact data with fields like id, name, and organization_id, providing essential information about each contact and their associations.
Companies	Information about companies with fields like id and name, allowing identification and management of organizations associated with contacts.
Deals	Deal data with fields like id, value, and status, allowing tracking of the progress and status of each deal.
Deals: Stage History	History of deal stages with fields like deal_id and date, allowing analysis of the evolution of opportunities over time.
Products	Product information with specific fields, allowing management and tracking of items offered in deals.
Tasks	Task records with fields like id and due_date, facilitating the organization and tracking of activities related to contacts and deals.
Users	User data with fields like id, name, and created_at, allowing management of permissions and information of platform users.

Notes

Activity records with fields like id, user_id, and date, enabling tracking of interactions and observations related to deals.

Custom Fields

Definitions of custom fields with fields like id, label, and type, allowing customization of contact and deal data.

Contacts

Contact data with fields like id, name, and organization_id, providing essential information about each contact and their associations.

Companies

Information about companies with fields like id and name, allowing identification and management of organizations associated with contacts.

Deals

Deal data with fields like id, value, and status, allowing tracking of the progress and status of each deal.

Deals: Stage History

History of deal stages with fields like deal_id and date, allowing analysis of the evolution of opportunities over time.

Products

Product information with specific fields, allowing management and tracking of items offered in deals.

Tasks

Task records with fields like id and due_date, facilitating the organization and tracking of activities related to contacts and deals.

Users

User data with fields like id, name, and created_at, allowing management of permissions and information of platform users.

See all available data →

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How to send RDStation CRM data to Redshift

Sync data automatically — no code, no manual exports.

Connect RDStation CRM

Authenticate your RDStation CRM account in Kondado by providing your API credentials, allowing the platform to access your sales data, contacts, and deal information for replication.

Configure Redshift

Enter your Redshift cluster connection details including host, database name, and credentials to establish the destination warehouse where your CRM data will reside.

Select Pipelines and Schedule

Choose which of the nine available pipelines to activate, such as Deals or Contacts, then set your preferred update frequency ranging from five minutes to daily intervals.

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