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Database ⇄ CRM

AWS Aurora PostgreSQL to Freshworks CRM integration — real-time, two-way sync

Keep AWS Aurora PostgreSQL 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 AWS Aurora PostgreSQL and Freshworks CRM

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

Stacksync mirrors Deals, Tasks, Appointments, Sales activities from Freshworks CRM into Foreign keys, Replication slots and publications, Databases and schemas, Tables in AWS Aurora PostgreSQL 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.
  • Capture row-level changes with logical replication and propagate them to SaaS tools without batch jobs.
  • Sync JSONB-heavy application data into structured objects in downstream business systems.

Trigger workflows from CRM changes

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

Query the CRM like a database

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

Product events onto CRM records

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

What you can sync between AWS Aurora PostgreSQL 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.

AWS Aurora PostgreSQL objects Freshworks CRM objects
Replication slots and publications The logical replication objects that power log-based CDC. Tasks Follow-ups created from external signals such as product usage events.
Databases and schemas PostgreSQL's two-level namespace scopes which tables a sync connection targets. Appointments Meeting records readable for activity reporting.
Tables The core sync unit; rows are matched across systems by primary key. Sales activities Logged activity types used in engagement and productivity analysis.
Rows Inserted, updated, and deleted in both directions during bi-directional syncs. Lists Contact list membership synced against segments computed in a warehouse.
Columns Rich Postgres types including JSONB and arrays are mapped to the paired system's fields. Notes Context records attached to contacts, accounts, and deals.
Primary keys and constraints Identify rows for upserts and enforce integrity on sync writes. Contacts Unified sales-and-marketing person records; the core entity for bidirectional syncs.
What ships with AWS Aurora PostgreSQL ⇄ Freshworks CRM

Connect AWS Aurora PostgreSQL and Freshworks CRM for flexible, real-time data sync.

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

Real-time

Two-way sync

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

No-code + pro-code

Workflow automation

Trigger automated workflows whenever AWS Aurora PostgreSQL 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 AWS Aurora PostgreSQL or Freshworks CRM record.

Observability

Monitoring

Track your AWS Aurora PostgreSQL ⇄ 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 AWS Aurora PostgreSQL and Freshworks CRM.

How the AWS Aurora PostgreSQL and Freshworks CRM connectors work

AWS Aurora PostgreSQL

Integration surface
SQL wire protocol (PostgreSQL-compatible), standard Postgres drivers and JDBC
Authentication
Database credentials, optionally AWS IAM database authentication, over TLS
Change detection
Log-based CDC via PostgreSQL logical replication (WAL decoding through replication slots), with timestamp polling as a fallback
Capabilities
read · write · CDC

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 AWS Aurora PostgreSQL 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 AWS Aurora PostgreSQL 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
    AWS Aurora PostgreSQL connected
    Freshworks CRM connected
    OAuth 2.0
    SSH tunnel
    SSL certificate
    VPC peering
  2. 02

    Choose tables

    Pick the AWS Aurora PostgreSQL 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 · AWS Aurora PostgreSQL ⇄ 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
    AWS Aurora PostgreSQL Freshworks CRM
    Company company_name text
    Email email text
    Amount amount numeric
    Created created_at timestamp
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FAQ

AWS Aurora PostgreSQL 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 AWS Aurora PostgreSQL and Freshworks CRM.

Popular · 8 of 386
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