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CRM ⇄ Database

Freshworks CRM to Neo4j integration — real-time, two-way sync

Keep Freshworks CRM and Neo4j 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 Neo4j

Treat Freshworks CRM like part of your database: its records live in Neo4j 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 Neo4j, where it can be queried and joined like everything else.

Stacksync mirrors Notes, Contacts, Accounts, Deals from Freshworks CRM into Databases, Users & Roles, Nodes, Relationships in Neo4j 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.
  • Mirror CRM accounts and contacts into a graph to model buying-group and referral relationships.
  • Sync product catalog and order history into Neo4j to power recommendation queries.

Query the CRM like a database

Accounts, contacts, and custom objects from Freshworks CRM become tables in Neo4j you can join with application data directly.

Product events onto CRM records

Signup, usage, or lifecycle changes written to Neo4j sync onto the matching records in Freshworks CRM, giving go-to-market teams live product context.

Internal tools without API code

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

What you can sync between Freshworks CRM and Neo4j

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 Neo4j objects
Lists Contact list membership synced against segments computed in a warehouse. Indexes & Constraints Uniqueness constraints and indexes that make MERGE-based upserts reliable and fast.
Notes Context records attached to contacts, accounts, and deals. Databases Named databases in a single instance that scope multi-tenant or multi-domain syncs.
Contacts Unified sales-and-marketing person records; the core entity for bidirectional syncs. Users & Roles Security principals controlling what an integration credential can query or modify.
Accounts Company records kept consistent with ERP and billing systems. Nodes Entity records (customers, products, accounts) written from source systems as labeled nodes.
Deals Pipeline records synced out for forecasting and full-funnel reporting. Relationships Typed, directed edges that carry the connections syncs exist to model.
Tasks Follow-ups created from external signals such as product usage events. Properties Key-value attributes on both nodes and relationships, mapped from source fields.
What ships with Freshworks CRM ⇄ Neo4j

Connect Freshworks CRM and Neo4j for flexible, real-time data sync.

Real-time sync, workflow automation, event queues, EDI, and monitoring, for every Freshworks CRM–Neo4j connection.

Real-time

Two-way sync

Changes in Freshworks CRM or Neo4j instantly reflect in both systems. No stale data, no manual imports.

No-code + pro-code

Workflow automation

Trigger automated workflows whenever Freshworks CRM or Neo4j 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 Neo4j record.

Observability

Monitoring

Track your Freshworks CRM ⇄ Neo4j 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 Neo4j.

How the Freshworks CRM and Neo4j 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

Neo4j

Integration surface
Bolt binary protocol with Cypher via official drivers, plus an HTTP query API
Authentication
Username/password (basic auth); enterprise deployments add SSO options
Change detection
Neo4j Change Data Capture on Enterprise and Aura streams graph changes; otherwise Cypher polling on timestamp properties
Capabilities
read · write · CDC
How it works

How to connect Freshworks CRM to Neo4j — 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 Neo4j 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
    Neo4j connected
    OAuth 2.0
    SSH tunnel
    SSL certificate
    VPC peering
  2. 02

    Choose tables

    Pick the Freshworks CRM and Neo4j 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 ⇄ Neo4j
    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 Neo4j
    Company company_name text
    Email email text
    Amount amount numeric
    Created created_at timestamp
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FAQ

Freshworks CRM and Neo4j 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 Neo4j.

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