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      Powerful server-side solution for collect and connect customer data

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      Create secure customer’s data pipelines to any data warehouses

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      Stories on how to use customer data for company growth

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      Learn how to install, set up, and use Renta tools.

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  • Product
    • First-party trackingFirst-party tracking

      Powerful server-side solution for collect and connect customer data

    • Marketing ETLMarketing ETL

      Create secure customer’s data pipelines to any data warehouses

  • Resources
    • BlogBlog

      Stories on how to use customer data for company growth

    • DocumentationDocumentation

      Learn how to install, set up, and use Renta tools.

  • Pricing
  • Connectors
Log in
Contact sales
Sign up
Renta
Marketing ETL
HubSpot to SQL Server

ETL HubSpot data to SQL Server

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Free for 7 days. No credit card required.

Source
Destination
Renta ELT is a simple way to create data pipelines in minutes. Not months.
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HubSpot is a leading CRM platform trusted by marketers and sales teams worldwide.
Renta Marketing ELT seamlessly transfers your HubSpot data to SQL Server, enabling real-time analytics and deeper insights for your marketing and sales strategies.
Enjoy automated, secure data syncs that empower your team to make smarter, data-driven decisions.

Set up your ELT pipeline in 3 simple steps

Select HubSpot as your data source and securely authenticate your account to initiate the data extraction process.

Selecting HubSpot as the data source in Renta.
1Connect your source

Select HubSpot as your data source and securely authenticate your account to initiate the data extraction process.

Selecting HubSpot as the data source in Renta.
2Identify the destination
3Configure and synchronize
The data structure of the HubSpot API

Renta supports 7 methods of data export using the HubSpot API.

Contacts

Represents individual people in HubSpot, storing personal information such as names, email addresses, lifecycle stages, and custom properties. Used for managing and tracking customer and lead data.

Companies

Represents organizations or businesses associated with contacts, containing company details like name, domain, industry, and custom attributes. Enables account-based management and reporting.

Deals

Tracks sales opportunities and revenue pipelines, storing information about deal stages, amounts, close dates, and associations with contacts and companies.

Tickets

Manages customer support requests or service issues, capturing details such as ticket status, priority, owner, and related contacts or companies.

Engagements

Logs interactions such as emails, calls, meetings, and notes, providing a timeline of communication and activities linked to contacts, companies, or deals.

Products

Stores catalog information about products or services offered, including product names, SKUs, pricing, and descriptions, supporting deal and quote management.

Owners

Represents users or team members within the HubSpot account, containing user IDs, names, and email addresses, used for assigning records and managing permissions.

Use cases

Unlock actionable HubSpot insights

  • Sync HubSpot leads to SQL Server for unified reporting across all sales channels
  • Enrich SQL Server customer profiles with HubSpot engagement data for deeper insights
  • Automate lead scoring in SQL Server using real-time HubSpot activity metrics
  • Track campaign ROI by joining HubSpot marketing data with sales outcomes in SQL Server
  • Detect churn risk by analyzing HubSpot lifecycle stages alongside SQL Server purchase history
  • Power dashboards with combined HubSpot and SQL Server data for executive decision-making
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Use cases: HubSpot and SQL Server integration
TEMPLATES

Start quickly with these use case templates

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Frequently asked questions
Reliable data ingestion for your Modern Data Stack

Free for 7 days. No credit card required.

Automate extraction from 100+ connections. 99.9% Uptime SLA.

Product
  • Marketing ETL
  • First-party data streaming
Popular connectors
  • Salesforce → Bigquery
  • Google Ads → Bigquery
  • Facebook Ads → Bigquery
  • Facebook Ads → Snowflake
  • Google Sheets → Bigquery
  • Google Sheets → Snowflake
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  • How to load LinkedIn Ads data into Google BigQuery

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