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CRM ⇄ Database

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

Keep Insightly 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 Insightly and Neo4j

Treat Insightly 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, Products, Custom Fields, Contacts from Insightly into Nodes, Relationships, Properties, Labels in Neo4j with real-time, bi-directional sync. Read CRM records with plain queries; write updates from your application and they appear in Insightly 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

  • Write product usage or billing data from internal databases into Insightly custom fields for account context
  • Deduplicate and align customer records between Insightly and an ERP or invoicing system
  • Keep a customer-360 graph continuously updated from ERP, CRM, and support sources.
  • Mirror CRM accounts and contacts into a graph to model buying-group and referral relationships.

Internal tools without API code

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

Trigger workflows from CRM changes

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

Query the CRM like a database

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

What you can sync between Insightly 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.

Insightly objects Neo4j objects
Notes Free-text context attaches to synced records for downstream visibility. Properties Key-value attributes on both nodes and relationships, mapped from source fields.
Products Product catalog entries support line-item syncing on opportunities and quotes. Labels Node type markers used to map source tables or objects onto the graph.
Custom Fields Per-object custom fields carry enrichment and billing data written from external systems. Indexes & Constraints Uniqueness constraints and indexes that make MERGE-based upserts reliable and fast.
Contacts Person records sync with marketing and support tools to keep one contact list. Databases Named databases in a single instance that scope multi-tenant or multi-domain syncs.
Organizations Company records map to accounts in ERPs and other CRMs. Users & Roles Security principals controlling what an integration credential can query or modify.
Leads Unqualified prospects sync in from forms and enrichment sources before conversion. Nodes Entity records (customers, products, accounts) written from source systems as labeled nodes.
What ships with Insightly ⇄ Neo4j

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

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

Real-time

Two-way sync

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

No-code + pro-code

Workflow automation

Trigger automated workflows whenever Insightly 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 Insightly or Neo4j record.

Observability

Monitoring

Track your Insightly ⇄ Neo4j sync health, view errors, and replay failed events in one click.

Trading partners

EDI

Transform legacy EDI complexity into simple database interactions between Insightly and Neo4j.

How the Insightly and Neo4j connectors work

Insightly

Integration surface
REST API (versioned)
Authentication
API key sent via HTTP Basic authentication
Change detection
Polling on record updated-date fields
Capabilities
read · write
Rate limits
Daily API request caps vary by Insightly 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 Insightly 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 Insightly 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
    Insightly connected
    Neo4j connected
    OAuth 2.0
    SSH tunnel
    SSL certificate
    VPC peering
  2. 02

    Choose tables

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

Insightly 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 Insightly and Neo4j.

Popular · 8 of 386
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