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CRM ⇄ Database

Freshsales to Neo4j integration — real-time, two-way sync

Keep Freshsales 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 Freshsales and Neo4j

Treat Freshsales 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 Deals, Tasks, Appointments, Notes from Freshsales into Users & Roles, Nodes, Relationships, Properties in Neo4j with real-time, bi-directional sync. Read CRM records with plain queries; write updates from your application and they appear in Freshsales 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

  • 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.
  • Feed identity and access data into a graph for entitlement and blast-radius analysis.
  • Write computed relationship scores (fraud, influence, similarity) back to operational systems.

Internal tools without API code

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

Trigger workflows from CRM changes

Field and stage updates in Freshsales arrive as row changes in Neo4j, ready to drive jobs and notifications.

Query the CRM like a database

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

What you can sync between Freshsales 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.

Freshsales objects Neo4j objects
Accounts Company records kept aligned with billing, ERP, and warehouse tables. Properties Key-value attributes on both nodes and relationships, mapped from source fields.
Deals Pipeline records synced to a warehouse for revenue reporting. Labels Node type markers used to map source tables or objects onto the graph.
Tasks Rep to-dos created from external triggers or synced for productivity reporting. Indexes & Constraints Uniqueness constraints and indexes that make MERGE-based upserts reliable and fast.
Appointments Scheduled meetings readable for activity analytics. Databases Named databases in a single instance that scope multi-tenant or multi-domain syncs.
Notes Free-text records attached to contacts, accounts, and deals. Users & Roles Security principals controlling what an integration credential can query or modify.
Sales activities Configurable activity types logged against records, useful for engagement scoring. Nodes Entity records (customers, products, accounts) written from source systems as labeled nodes.
What ships with Freshsales ⇄ Neo4j

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

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

Real-time

Two-way sync

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

No-code + pro-code

Workflow automation

Trigger automated workflows whenever Freshsales 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 Freshsales or Neo4j record.

Observability

Monitoring

Track your Freshsales ⇄ Neo4j 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 Neo4j.

How the Freshsales and Neo4j 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

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 Freshsales 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 Freshsales 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
    Freshsales connected
    Neo4j connected
    OAuth 2.0
    SSH tunnel
    SSL certificate
    VPC peering
  2. 02

    Choose tables

    Pick the Freshsales 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 · Freshsales ⇄ 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
    Freshsales Neo4j
    Company company_name text
    Email email text
    Amount amount numeric
    Created created_at timestamp
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FAQ

Freshsales 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 Freshsales and Neo4j.

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