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CRM ⇄ Data warehouse

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

Keep Freshworks CRM and Materialize 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 Materialize

Sync Freshworks CRM into Materialize 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. Lists, Notes, Contacts, Accounts from Freshworks CRM land in Materialize as live tables, updated within seconds, and columns computed in Materialize 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

  • Keep list membership aligned with segments computed in the warehouse.
  • Mirror deal and activity data into a Postgres database that internal tools query directly.
  • Read computed view results back into a CRM or application database as derived fields.
  • Drive alerting and operational tooling from SUBSCRIBE change streams instead of scheduled queries.

CRM analytics on live data

Accounts, contacts, and activity from Freshworks CRM are queryable in Materialize 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 Materialize 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 Materialize to build the customer picture the CRM alone cannot hold.

What you can sync between Freshworks CRM and Materialize

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 Materialize objects
Contacts Unified sales-and-marketing person records; the core entity for bidirectional syncs. Tables User-managed tables that accept INSERT/UPDATE/DELETE from sync pipelines.
Accounts Company records kept consistent with ERP and billing systems. Sources Ingestion points (Kafka, Postgres CDC, MySQL CDC, webhook) that feed external data into Materialize.
Deals Pipeline records synced out for forecasting and full-funnel reporting. Materialized Views Incrementally maintained query results that syncs read as continuously up-to-date datasets.
Tasks Follow-ups created from external signals such as product usage events. Sinks Outbound connections that emit view changes to Kafka topics.
Appointments Meeting records readable for activity reporting. Indexes In-memory arrangements that make view reads fast for serving workloads.
Sales activities Logged activity types used in engagement and productivity analysis. Clusters Compute pools that isolate ingestion, view maintenance, and serving.
What ships with Freshworks CRM ⇄ Materialize

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

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

Real-time

Two-way sync

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

No-code + pro-code

Workflow automation

Trigger automated workflows whenever Freshworks CRM or Materialize 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 Materialize record.

Observability

Monitoring

Track your Freshworks CRM ⇄ Materialize 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 Materialize.

How the Freshworks CRM and Materialize 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

Materialize

Integration surface
PostgreSQL wire protocol (SQL)
Authentication
Database credentials (username/password; app passwords in the managed cloud service)
Change detection
SUBSCRIBE queries stream row-level changes of any view or table to the client
Capabilities
read · write · CDC
How it works

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

    Choose tables

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

Freshworks CRM and Materialize 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 Materialize.

Popular · 8 of 386
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