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CRM ⇄ Data warehouse

Freshworks CRM to MotherDuck integration — real-time, two-way sync

Keep Freshworks CRM and MotherDuck in sync without custom scripts. Cut weeks of integration work, eliminate silent data drift, and give your team a single, reliable source of truth.

  • SOC 2 and 6 other compliance frameworks
  • POC with real engineers in minutes

Adopted by fast-scaling companies moving mission-critical data in real time

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Why teams connect Freshworks CRM and MotherDuck

Sync Freshworks CRM into MotherDuck continuously and push warehouse results back onto CRM records, one two-way connection instead of two pipelines.

The CRM feeds the warehouse and the warehouse should feed the CRM: relationship data flows one way, and computed scores, segments, and customer context flow back. Most teams build the first half as a batch pipeline and never quite get to the second.

Stacksync does both with one connection. Sales activities, Lists, Notes, Contacts from Freshworks CRM land in MotherDuck as live tables, updated within seconds, and columns computed in MotherDuck write back to fields in Freshworks CRM. There is no separate ETL and reverse-ETL stack to stitch together and no jobs to babysit.

Common use cases

  • Mirror deal and activity data into a Postgres database that internal tools query directly.
  • Sync unified contact records, covering sales and marketing attributes, into a warehouse for full-funnel reporting.
  • Share curated, synced datasets with other teams through read-only database shares
  • Land CRM and operational database records in MotherDuck so a small team gets warehouse-style analytics without cluster management

CRM analytics on live data

Accounts, contacts, and activity from Freshworks CRM are queryable in MotherDuck moments after they change, so dashboards stop lagging the reality they describe.

Scores and segments back on the record

Lead scores, churn risk, or usage segments computed in MotherDuck appear as fields in Freshworks CRM, where the people working accounts actually see them.

A single customer view

Join Freshworks CRM's relationship data with billing, product, and support data in MotherDuck to build the customer picture the CRM alone cannot hold.

What you can sync between Freshworks CRM and MotherDuck

Representative objects on each side — any object or custom field can map to any target. Schemas are auto-detected; types are converted between the two systems.

Freshworks CRM objects MotherDuck objects
Lists Contact list membership synced against segments computed in a warehouse. Schemas Namespaces within a database used to organize synced tables.
Notes Context records attached to contacts, accounts, and deals. Tables The main landing target for synced records and source for analysis.
Contacts Unified sales-and-marketing person records; the core entity for bidirectional syncs. Views Modeled projections used as outbound sync sources.
Accounts Company records kept consistent with ERP and billing systems. Database Shares Read-only copies of a database shared with other users or teams.
Deals Pipeline records synced out for forecasting and full-funnel reporting. Attached Local DuckDB Databases Local files attached alongside cloud databases for hybrid queries.
Tasks Follow-ups created from external signals such as product usage events. Databases Cloud-hosted DuckDB databases that scope a sync's reads and writes.
What ships with Freshworks CRM ⇄ MotherDuck

Connect Freshworks CRM and MotherDuck for flexible, real-time data sync.

Real-time sync, workflow automation, event queues, EDI, and monitoring, for every Freshworks CRM–MotherDuck connection.

Real-time

Two-way sync

Changes in Freshworks CRM or MotherDuck instantly reflect in both systems. No stale data, no manual imports.

No-code + pro-code

Workflow automation

Trigger automated workflows whenever Freshworks CRM or MotherDuck data changes, update records, fire webhooks, or kick off sequences without brittle API scripts.

At scale

Event queues

Handle millions of events per minute without losing a single Freshworks CRM or MotherDuck record.

Observability

Monitoring

Track your Freshworks CRM ⇄ MotherDuck sync health, view errors, and replay failed events in one click.

Trading partners

EDI

Transform legacy EDI complexity into simple database interactions between Freshworks CRM and MotherDuck.

How the Freshworks CRM and MotherDuck connectors work

Freshworks CRM

Integration surface
REST API
Authentication
API key sent as a Token authorization header
Change detection
Polling with updated-at filters; outbound webhooks can be configured through workflow automations
Capabilities
read · write · webhooks
Rate limits
Subject to per-account API rate limits that vary by plan

MotherDuck

Integration surface
SQL through DuckDB clients and drivers using a MotherDuck (md:) connection
Authentication
Access token created in MotherDuck (Settings > General > Create Token), pasted into Stacksync; database name and schema configurable if not using defaults
Change detection
Polling; no log-based CDC or webhook surface is exposed
Capabilities
read · write
Rate limits
Subject to the platform's compute and concurrency limits rather than per-request API rate limits
MotherDuck setup guide
How it works

How to connect Freshworks CRM to MotherDuck — three steps, no code

Configure and sync within minutes, no code. Whether you sync 50k or 100M+ records, Stacksync handles the queues, infra, and plumbing. Integrations are non-invasive and need zero setup on your systems.

  1. 01

    Connect your apps

    Authenticate Freshworks CRM and MotherDuck with each platform's native method — OAuth, API keys, or service accounts — plus secure options like SSH tunneling, IP whitelisting, and VPC peering.

    • OAuth 2.0
    • SSH tunnel
    • VPC peering
    Freshworks CRM connected
    MotherDuck connected
    OAuth 2.0
    SSH tunnel
    SSL certificate
    VPC peering
  2. 02

    Choose tables

    Pick the Freshworks CRM and MotherDuck objects to sync — Stacksync auto-detects both schemas, including custom fields where the platform exposes them. Sync to existing tables, or let Stacksync create new ones with ideal data types.

    • Standard objects
    • Custom objects
    • Auto-schema
    objects · Freshworks CRM ⇄ MotherDuck
    Customers 12,480
    Sales Orders 8,213
    Invoices 5,902
    Items 1,344
  3. 03

    Map fields

    Fields map automatically even when names and types differ. Stacksync handles transformation and type casting for you, zero configuration required.

    • Auto-map
    • Type casting
    • Transforms
    Freshworks CRM MotherDuck
    Company company_name text
    Email email text
    Amount amount numeric
    Created created_at timestamp
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FAQ

Freshworks CRM and MotherDuck integration FAQ

SECURITY

Security teams love Stacksync

As a data company, we understand the importance of keeping your data secure. Stacksync is built with security best practices to keep your data safe at every layer, and is DPF-certified for US, EU, UK and CH data transfers.

Learn more about security
SOC 2 type II
ISO 27001
HIPAA BAA
GDPR
CCPA
CSA STAR
DPF US-EU-UK-CH
→ SECURITY WITH BENEFITS

SSO & SCIM

Let your users access Stacksync from your centralized user management systems. Works with Okta, Azure, Google SSO and more.

Alerts

Immediately get alerted about record syncing issues over email, Slack, PagerDuty and WhatsApp. Resolve issues from a centralized dashboard with retry and revert options.

Secure connection options

Securely connects to your systems with:

OAuth 2 SSH Tunnelling SSL certificates IP Whitelisting VPN gateway VPC peering and more

Related integrations

Every pair below is a real-time, two-way sync. Search all 386 integrations available for Freshworks CRM and MotherDuck.

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