HubSpotDatabricks

HubSpot + Databricks

HubSpot is an all-in-one marketing, sales, and service platform that offers a range of tools to help companies attract, engage, and delight customers.

With Erathos, you can integrate data from HubSpot into Databricks in just a few minutes. Our platform handles the entire data movement process into your analytics environment and lets you combine that data with other sources in your Data Warehouse. That way, your time goes where it really creates value — extracting actionable insights and making more data-driven decisions.

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Ace Startups
Kamino
Convenia
Vakinha
Linus
Rabbot
Auvo
Roqt
Xperiun
Tecnova
WePayments
Brick
CCM
Simplified extraction and ingestion

Move data in a few clicks

1

Connect your source

Authenticate your account and you're done. 100+ ready-made connectors, no code required.

2

Configure the sync

Pick the tables, the schedule and the update type: batch, cursor-based incremental or CDC.

3

Choose your destination

Load into BigQuery, Redshift, Databricks, PostgreSQL, ClickHouse, Amazon S3 and more.

Which HubSpot data does Erathos sync with Databricks?

The integration automatically syncs HubSpot's core objects:

  • Contacts — emails, lifecycle stages, and custom properties
  • Companies — firmographic data, industry, and activity history
  • Deals — pipeline stages, amounts, and close dates
  • Activities — calls, meetings, tasks, and sales team notes
  • Interaction history — emails, calls, and engagement records
  • Custom fields — properties created by your team included automatically

Why sync HubSpot with Databricks?

HubSpot's native reports are useful for day-to-day work, but they have clear limits. Bringing the data into Databricks lets you combine it with other sources — product usage, financial data, media spend, customer support — to answer questions HubSpot alone can't: true customer acquisition cost, full-funnel conversion rate, and retention by cohort and campaign.

Available data

What HubSpot sends to Databricks

53 HubSpot tables can be synced to Databricks. Each table is created in Databricks with the same name it has in the connector, inside the schema you choose when setting up the connection.

A closer look at some tables

deals

122 base fields, plus your account's custom fields
Primary key
id
Fields for incremental loads
properties.hs_lastmodifieddate
Some of the fields
idproperties.hs_lastmodifieddatearchivedproperties.amountproperties.amount_in_home_currencyproperties.closedateproperties.closed_lost_reasonproperties.closed_won_reasonproperties.createdateproperties.days_to_closeproperties.deal_currency_codeproperties.dealnameand 110 more

contacts

9 base fields, plus your account's custom fields
Primary key
id
Fields for incremental loads
properties.lastmodifieddate
Some of the fields
idproperties.lastmodifieddateproperties.companyproperties.createdateproperties.emailproperties.firstnameproperties.lastnameproperties.phoneproperties.website

companies

2 base fields, plus your account's custom fields
Primary key
id
Fields for incremental loads
properties.hs_lastmodifieddate
Some of the fields
idproperties.hs_lastmodifieddate

A first query in Databricks

Reading the HubSpot deals table straight from Databricks. Replace your_schema with the schema you chose for the connection.

SELECT
  id,
  get_json_object(properties, '$.hs_lastmodifieddate') AS properties_hs_lastmodifieddate,
  get_json_object(properties, '$.amount') AS properties_amount,
  get_json_object(properties, '$.amount_in_home_currency') AS properties_amount_in_home_currency
FROM your_schema.deals
ORDER BY properties_hs_lastmodifieddate DESC
LIMIT 10

Nested fields such as properties.hs_lastmodifieddate generally land in Databricks as JSON, in a column named after the top level (properties). That is why the query reads them with Databricks's JSON functions.

Available tables

  • analytics_reports_sources
  • analytics_reports_sources_breakdowns
  • calls
  • communications · supports custom fields
  • companies · supports custom fields
  • companies_calls_associations
  • companies_contacts_associations
  • companies_deals_associations
  • companies_pipelines
  • companies_tasks_associations
  • companies_tickets_associations
  • contacts · supports custom fields
  • contacts_calls_associations
  • contacts_communications_associations
  • contacts_deals_associations
  • contacts_emails_associations
  • contacts_meetings_associations
  • contacts_tickets_associations
  • deal_history · under deals · supports custom fields
  • deals · supports custom fields
  • deals_calls_associations
  • deals_line_items_associations
  • deals_meetings_associations
  • deals_pipelines
  • deals_tasks_associations
  • deals_tickets_associations
  • email_events
  • emails
  • event_types
  • events · under event_types
  • feedback_submissions
  • form_submission · under contacts
  • goal_targets
  • leads · supports custom fields
  • leads_companies_associations
  • leads_contacts_associations
  • leads_deals_associations
  • line_items
  • marketing_emails
  • meetings
  • notes
  • owners
  • postal_mail
  • products
  • quotes
  • task_history · under tasks
  • tasks
  • tickets · supports custom fields
  • tickets_calls_associations
  • tickets_communications_associations
  • tickets_emails_associations
  • tickets_meetings_associations
  • tickets_pipelines
Why companies move data from HubSpot to Databricks with Erathos

Centralizing HubSpot data in Databricks has never been easier.

Erathos is a data ingestion platform built for teams that need reliability, visibility, and control. With the HubSpot connector, you can automatically move contacts, deals, companies, and sales activities to Databricks—with full observability into every run and zero maintenance.

Why do data teams choose Erathos for HubSpot?

Data in your data warehouse in minutes

14-day free trial. No credit card required.
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Building data-driven stories

“Every new source implementation, if I had to do it myself, would take about two or three months. With Erathos, it's done in a few hours. I don't need the skills of a data engineer to generate real value from the company's data.”

Bruno Rosso
Bruno RossoData Analyst, Brick Software

“Erathos revolutionized data management at WE. By integrating multiple SaaS tools into a single DW, our technical team now focuses on the core business. We implemented dashboards with insights across every area, enriching our organizational culture and improving our decision-making.”

Matheus Nunes
Matheus NunesCTO & co-founder, WePayments

“We used to have a lot of rework, and now we don't. It's more efficient to work this way. If it's not your core business, hire Erathos. Spend your time modeling your own domain, not someone else's.”

Carlos Schwabe
Carlos SchwabeCo-Founder & CDO, Brick

“If I didn't have this infrastructure, I'd need three or four people to do what Erathos does today. I was able to generate real value from my data with a much leaner setup than I thought I'd need. That's the core of building a data-driven culture: the team only uses data when they can trust it.”

Thiago Paz
Thiago PazCFO, Brick

“Erathos brought a practical turnaround at CCM. We were able to integrate financial systems, CRM, and processes with BigQuery in just a few clicks, with no technical team required. That gave us a reliable data warehouse that powers automations, dashboards, and even our customer service bots.”

Gustavo Loforte
Gustavo LoforteTechnology Manager, CCM Group

“The robustness and efficiency of Erathos's connectors — whether for Meta, Google, RD Station, or ERPs like Bling and Conta Azul — make the whole process much faster and more reliable. The technical documentation is extremely well put together and intuitive, which makes implementation much easier.”

Sayuri Valente
Sayuri ValenteProject Manager, Xperiun
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FAQ

Frequently Asked Questions

Erathos is a data ingestion platform built for reliability, transparency, and control. We help data teams connect tools like HubSpot to their data warehouse—with full observability into every run, zero maintenance, and none of the opacity of traditional market tools.

Erathos syncs HubSpot’s core objects: Contacts, Companies, Deals, Activities, Tasks, and Interaction History. Custom fields created by your team are also supported and are automatically made available in Databricks.

You can configure synchronization frequency at the table level, from every 5 minutes up to daily. Erathos uses incremental sync—only new or updated records are processed on each run, keeping the HubSpot pipeline efficient and Databricks costs predictable.

Erathos automatically detects failures and sends alerts to your email, Slack, or Discord with full context—not just "job failed." Smart retries handle transient errors, and every execution is logged with run time, processed rows, and error context so your team can debug in minutes, not hours.

Yes. Every Erathos connector includes a 14-day free trial. Connect HubSpot to Databricks and start syncing immediately—no credit card required.

Data ingestion with control, observability and scale