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Connect Zoho CRM to PostgreSQL

Connect Zoho CRM to PostgreSQL and export selected accounts, metrics, and dimensions to your PostgreSQL project.

Configure the historical window, destination table, and recurring schedule without maintaining a Zoho CRM API pipeline.

Used by the world's leading companies

Export Zoho CRM data to PostgreSQL

Catchr handles extraction, normalization, and loading automatically.

Centralize

Centralize Zoho CRM data in PostgreSQL

Bring all your Zoho CRM data into your warehouse and make it available for analytics, machine learning, and internal applications.

Data freshness

Keep your PostgreSQL tables up to date

Automatically sync new data from Zoho CRM so every dashboard, model, and report works with fresh information.

Analysis

Unify Zoho CRM with the rest of your business data

Join marketing, finance, CRM, and product data inside the same warehouse.

Zoho CRM metrics and dimensions available in PostgreSQL

Access 0 metrics and 461 dimensions from Zoho CRM connectors including , Deals Lead Source, Leads Lead Source, Deals Campaign Source, Campaigns Campaign Name, Leads Converted Date Time and many more...

0

Metrics availables

461

Dimensions availables

Connect Zoho CRM to PostgreSQL in minutes

Move your data from Zoho CRM to PostgreSQL with a simple setup. Once connected, Catchr handles the ingestion automatically so your warehouse stays up to date without manual work.

Step one

Connect your Zoho CRM account

Authenticate your Zoho CRM account securely in Catchr. No custom scripts, API maintenance, or engineering work required.

Client A · Connected sources
5 sources ready
Zoho CRM 3 advertising accounts Connected
Google Ads 2 advertising accounts Connected
Google Analytics 4 1 web property Connected
HubSpot 1 CRM portal Connected
Step two

Choose the PostgreSQL destination

Add the database host and credentials once. Catchr checks the connection so your exports start with a reachable destination.

Destination / PostgreSQL Required fields
Host Required
warehouse.company.net
Username Required
catchr_writer
Password Required
••••••••••••
Database Required
marketing
Step three

Keep your PostgreSQL tables updated

Choose the fields, initial history, partition field, and recurring schedule for the job. Catchr refreshes the configured import window in your PostgreSQL table.

Export job / PostgreSQL Example
Schema Destination
marketing_raw
Table Per job
linkedin_ads_daily
Recurring schedule Choose a cadence
Every 6 hours
Daily · 07:00
Weekly · Mon
First sync scheduledSelected fields · configured history
07:00 UTC

Review 30-day Zoho CRM sales pipeline performance in SQL.

This example summarizes pipeline value, created deals, won deals, and win rate by owner.

Zoho CRM.sql
BigQuery SQL
30-day window
SELECT
  owner_name,
  SUM(deal_value) AS deal_value,
  SUM(deals_created) AS deals_created,
  SUM(deals_won) AS deals_won,
  SAFE_DIVIDE(
    SUM(deals_won),
    SUM(deals_created)
  ) AS win_rate
FROM `your_project.marketing_raw.zoho_crm_deals`
WHERE created_date >= DATE_SUB(
  CURRENT_DATE(),
  INTERVAL 30 DAY
)
GROUP BY owner_name
ORDER BY deal_value DESC;
Illustrative SQL — adapt it to the fields and schema selected in your export. Standard SQL

Choose what to load into PostgreSQL.

Each connector has its own entities, fields, historical limits, and reporting uses. Open a source page for the details that belong to that platform.

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Before you schedule the job.

Answers about PostgreSQL setup, available source data, schedules, table updates, and SQL use cases.

How can I connect Zoho CRM to an existing PostgreSQL database?

Start with a connected Zoho CRM source and an existing PostgreSQL database. Create a datastream between them, then configure the accounts, fields, schedule, and "deals" table.

Which Zoho CRM metrics and dimensions can be sent to PostgreSQL?

Build the Zoho CRM schema from available records such as accounts, contacts, companies, and leads, plus the supported account and date dimensions. Preview the selected columns before the PostgreSQL job is saved.

What controls the refresh window for Zoho CRM data in PostgreSQL?

Set an initial fetch period for Zoho CRM, then choose the frequency and lookback window for the job writing to "deals". Catchr rewrites that selected period on each run.

How can I keep recurring Zoho CRM imports from duplicating rows?

The partition field tells Catchr which Zoho CRM rows in "deals" belong to the period being refreshed. If you omit it, every run appends records rather than updating them.

What can agencies build with Zoho CRM data in PostgreSQL?

With Zoho CRM data, a PostgreSQL query can summarize pipeline value, created deals, won deals, and win rate by owner. A query built around accounts and contacts can support trend reviews, account comparisons, and operational reporting.

Does my PostgreSQL database need to exist before I connect it?

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

Can I load several marketing sources into the same Postgres 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.

Still have a question ? 

Our teams is always here to responds to any question you could have about our data connector. 

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