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CRM ⇄ Data warehouse

Freshsales to Materialize integration — real-time, two-way sync

Keep Freshsales 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 Freshsales and Materialize

Sync Freshsales 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. Accounts, Deals, Tasks, Appointments from Freshsales land in Materialize as live tables, updated within seconds, and columns computed in Materialize write back to fields in Freshsales. There is no separate ETL and reverse-ETL stack to stitch together and no jobs to babysit.

Common use cases

  • Two-way sync of contacts and accounts between Freshsales and a Postgres database so product and data teams query CRM data with SQL.
  • Sync deals into a data warehouse for pipeline reporting alongside product usage data.
  • Sync operational CRM or ERP data into Materialize so real-time views stay current without batch loads.
  • Read computed view results back into a CRM or application database as derived fields.

Scores and segments back on the record

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

A single customer view

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

Cleanup that sticks

Deduplication and normalization done in Materialize can be written back, so warehouse-side cleanup actually fixes the CRM.

What you can sync between Freshsales 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.

Freshsales objects Materialize objects
Appointments Scheduled meetings readable for activity analytics. Connections & Secrets Stored credentials and endpoints used by sources and sinks.
Notes Free-text records attached to contacts, accounts, and deals. Schemas & Databases Namespaces that organize objects a sync targets.
Sales activities Configurable activity types logged against records, useful for engagement scoring. Tables User-managed tables that accept INSERT/UPDATE/DELETE from sync pipelines.
Products Catalog items attached to deals for line-level revenue data. Sources Ingestion points (Kafka, Postgres CDC, MySQL CDC, webhook) that feed external data into Materialize.
Contacts Person records carrying lifecycle stages; the main entity for two-way CRM syncs. Materialized Views Incrementally maintained query results that syncs read as continuously up-to-date datasets.
Accounts Company records kept aligned with billing, ERP, and warehouse tables. Sinks Outbound connections that emit view changes to Kafka topics.
What ships with Freshsales ⇄ Materialize

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

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

Real-time

Two-way sync

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

No-code + pro-code

Workflow automation

Trigger automated workflows whenever Freshsales 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 Freshsales or Materialize record.

Observability

Monitoring

Track your Freshsales ⇄ Materialize sync health, view errors, and replay failed events in one click.

Trading partners

EDI

Transform legacy EDI complexity into simple database interactions between Freshsales and Materialize.

How the Freshsales and Materialize connectors work

Freshsales

Integration surface
REST API
Authentication
API key sent as a Token authorization header
Change detection
Polling with updated-at filters through views; outbound webhooks can be configured via workflow automations
Capabilities
read · write · webhooks
Rate limits
Subject to per-account API rate limits that vary by Freshworks 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 Freshsales 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 Freshsales 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
    Freshsales connected
    Materialize connected
    OAuth 2.0
    SSH tunnel
    SSL certificate
    VPC peering
  2. 02

    Choose tables

    Pick the Freshsales 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 · Freshsales ⇄ 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
    Freshsales Materialize
    Company company_name text
    Email email text
    Amount amount numeric
    Created created_at timestamp
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FAQ

Freshsales 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 Freshsales and Materialize.

Popular · 8 of 386
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