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Database ⇄ CRM

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

Keep DuckDB and Freshworks CRM 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 DuckDB and Freshworks CRM

Treat Freshworks CRM like part of your database: its records live in DuckDB as real tables, and writes in either place sync to the other in seconds.

Product and engineering teams constantly need CRM data, and the CRM API is a poor way to get it: rate limits, pagination, custom objects, and integration code that breaks when an admin renames a field. What they actually want is the data in DuckDB, where it can be queried and joined like everything else.

Stacksync mirrors Appointments, Sales activities, Lists, Notes from Freshworks CRM into Views, External files (Parquet/CSV/JSON), Attached databases, Database files in DuckDB with real-time, bi-directional sync. Read CRM records with plain queries; write updates from your application and they appear in Freshworks CRM with validation intact. Go-to-market teams keep working in the CRM, engineers keep working in the database, and neither has to think about the other.

Common use cases

  • Push scored leads from a data platform into Freshworks CRM and route them by lifecycle stage.
  • Two-way sync accounts and deals with an ERP so quotes and invoices reference the same customer records.
  • Sync SaaS data to Parquet on object storage and query it with DuckDB without standing up a warehouse.
  • Push aggregates computed in DuckDB out to a CRM or business tools so analysis results reach operational systems.

Trigger workflows from CRM changes

Field and stage updates in Freshworks CRM arrive as row changes in DuckDB, ready to drive jobs and notifications.

Query the CRM like a database

Accounts, contacts, and custom objects from Freshworks CRM become tables in DuckDB you can join with application data directly.

Product events onto CRM records

Signup, usage, or lifecycle changes written to DuckDB sync onto the matching records in Freshworks CRM, giving go-to-market teams live product context.

What you can sync between DuckDB and Freshworks CRM

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.

DuckDB objects Freshworks CRM objects
Views SQL views used to shape or filter data for downstream consumers. Accounts Company records kept consistent with ERP and billing systems.
External files (Parquet/CSV/JSON) Files DuckDB queries in place without loading, common as a sync interchange format. Deals Pipeline records synced out for forecasting and full-funnel reporting.
Attached databases Additional database files or external systems attached into one session for cross-source queries. Tasks Follow-ups created from external signals such as product usage events.
Database files Single-file .duckdb databases that jobs read and write directly on disk or object storage. Appointments Meeting records readable for activity reporting.
Schemas Namespaces within a database used to organize tables in sync outputs. Sales activities Logged activity types used in engagement and productivity analysis.
Tables Columnar tables created via SQL; the destination for materialized sync data. Lists Contact list membership synced against segments computed in a warehouse.
What ships with DuckDB ⇄ Freshworks CRM

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

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

Real-time

Two-way sync

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

No-code + pro-code

Workflow automation

Trigger automated workflows whenever DuckDB or Freshworks CRM 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 DuckDB or Freshworks CRM record.

Observability

Monitoring

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

Trading partners

EDI

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

How the DuckDB and Freshworks CRM connectors work

DuckDB

Integration surface
In-process SQL engine via client libraries (Python, Node.js, JDBC, CLI); no server or network API by default
Authentication
None built in; access control is file-system level (MotherDuck adds token auth for its hosted service)
Change detection
Polling or full re-reads; no change feed or transaction log API
Capabilities
read · write
Rate limits
No API rate limits; throughput is bounded by local compute and I/O

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
How it works

How to connect DuckDB to Freshworks CRM — 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 DuckDB and Freshworks CRM 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
    DuckDB connected
    Freshworks CRM connected
    OAuth 2.0
    SSH tunnel
    SSL certificate
    VPC peering
  2. 02

    Choose tables

    Pick the DuckDB and Freshworks CRM 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 · DuckDB ⇄ Freshworks CRM
    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
    DuckDB Freshworks CRM
    Company company_name text
    Email email text
    Amount amount numeric
    Created created_at timestamp
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FAQ

DuckDB and Freshworks CRM 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 DuckDB and Freshworks CRM.

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