Connect Hubspot to PostgreSQL

Connect Hubspot and add PostgreSQL as the stored destination. Create a datastream, then save a job that sends the required records to the "leads" table.

Select concrete Hubspot fields such as Company Days to Close, Company Annual Revenue Currency Code, Contact Days To Close, and Day of the month. You can rename the chosen columns, preview the result, and write them to PostgreSQL tables such as accounts, contacts, and companies.

Choose how far back the first Hubspot load should go and how much recent data each "leads" run should refresh. Catchr splits large backfills into smaller intervals.

For recurring Hubspot loads, assign an eligible partition field to "leads". Otherwise Catchr cannot match the refresh window and will append the returned records.

With Hubspot data, a PostgreSQL query can summarize pipeline value, created deals, won deals, and win rate by owner. Join Company Days to Close and Company Annual Revenue Currency Code with shared account or date keys to build a reusable performance model in PostgreSQL.

Yes. Connect an existing PostgreSQL database first. The Catchr job creates and populates the destination table you configure inside that database.

Yes. Create a separate datastream and job for each source, write each export to its own table, then combine the data downstream with SQL, views, or your BI tool.