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CRM ⇄ Database

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

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

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

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Why teams connect Freshworks CRM and TimescaleDB

Treat Freshworks CRM like part of your database: its records live in TimescaleDB 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 TimescaleDB, where it can be queried and joined like everything else.

Stacksync mirrors Appointments, Sales activities, Lists, Notes from Freshworks CRM into Regular PostgreSQL Tables, Views, Schemas, Hypertables in TimescaleDB 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

  • Keep list membership aligned with segments computed in the warehouse.
  • Mirror deal and activity data into a Postgres database that internal tools query directly.
  • Consolidate metrics from several services into one hypertable to serve a single reporting layer.
  • Sync product or IoT telemetry stored in TimescaleDB into a CRM so account teams see usage metrics next to the customer record.

Internal tools without API code

Back-office apps read and write the synced tables; Stacksync handles the Freshworks CRM API, limits, and retries.

Trigger workflows from CRM changes

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

Query the CRM like a database

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

What you can sync between Freshworks CRM and TimescaleDB

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 TimescaleDB objects
Notes Context records attached to contacts, accounts, and deals. Schemas Postgres namespaces used to separate synced datasets by team or environment.
Contacts Unified sales-and-marketing person records; the core entity for bidirectional syncs. Hypertables Time-partitioned tables that hold the main time-series data; the primary read and write target in syncs.
Accounts Company records kept consistent with ERP and billing systems. Chunks Time-bounded partitions of a hypertable; syncs read and write through the parent hypertable and never address chunks directly.
Deals Pipeline records synced out for forecasting and full-funnel reporting. Continuous Aggregates Incrementally maintained rollups that serve as pre-aggregated read sources for downstream systems.
Tasks Follow-ups created from external signals such as product usage events. Regular PostgreSQL Tables Relational reference data such as devices, tenants, or accounts synced alongside the series data.
Appointments Meeting records readable for activity reporting. Views Standard SQL views used to shape or filter data for consumers.
What ships with Freshworks CRM ⇄ TimescaleDB

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

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

Real-time

Two-way sync

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

No-code + pro-code

Workflow automation

Trigger automated workflows whenever Freshworks CRM or TimescaleDB 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 TimescaleDB record.

Observability

Monitoring

Track your Freshworks CRM ⇄ TimescaleDB 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 TimescaleDB.

How the Freshworks CRM and TimescaleDB 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

TimescaleDB

Integration surface
SQL wire protocol (PostgreSQL)
Authentication
Database credentials
Change detection
Log-based capture via PostgreSQL logical decoding where the deployment allows it — hypertable changes surface on the underlying chunk tables and must be remapped to the parent — or timestamp-based polling on time columns; regular Postgres tables replicate through standard logical replication
Capabilities
read · write · CDC
Rate limits
No API rate limits; throughput is bounded by database resources and connection limits.
How it works

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

    Choose tables

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

Freshworks CRM and TimescaleDB 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 TimescaleDB.

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