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CRM ⇄ Database

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

Keep Affinity 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.

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

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Why teams connect Affinity and Neo4j

Treat Affinity 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 Lists, List Entries, Persons, Organizations from Affinity 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 Affinity 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

  • 01 Keep introductions and relationship data from Affinity aligned with outreach tools used by the team.
  • 02 Sync notes and reminders into project or task systems used outside the deal team.
  • 03 Sync product catalog and order history into Neo4j to power recommendation queries.
  • 04 Feed identity and access data into a graph for entitlement and blast-radius analysis.

Common sync patterns

Query the CRM like a database

Accounts, contacts, and custom objects from Affinity 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 Affinity, 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 Affinity API, limits, and retries.

What you can sync between Affinity 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.

Affinity objects Neo4j objects How this pairing syncs
Organizations Company records matched to accounts in other systems by domain. Users & Roles Security principals controlling what an integration credential can query or modify. Organizations is specific to Affinity and Users & Roles to Neo4j — each maps to any object or custom field on the other side.
Opportunities Deal records tracked on lists and synced with pipeline reporting. Nodes Entity records (customers, products, accounts) written from source systems as labeled nodes. Opportunities is specific to Affinity and Nodes to Neo4j — each maps to any object or custom field on the other side.
Field Values Custom field data, either global or scoped to a list, mapped field-by-field in syncs. Relationships Typed, directed edges that carry the connections syncs exist to model. Field Values is specific to Affinity and Relationships to Neo4j — each maps to any object or custom field on the other side.
Notes Meeting and call notes synced for record-keeping in other systems. Properties Key-value attributes on both nodes and relationships, mapped from source fields. Notes is specific to Affinity and Properties to Neo4j — each maps to any object or custom field on the other side.
Interactions Automatically captured emails and meetings, read for activity reporting. Labels Node type markers used to map source tables or objects onto the graph. Interactions is specific to Affinity and Labels to Neo4j — each maps to any object or custom field on the other side.
Reminders Follow-up tasks associated with people and organizations. Indexes & Constraints Uniqueness constraints and indexes that make MERGE-based upserts reliable and fast. Reminders is specific to Affinity and Indexes & Constraints to Neo4j — each maps to any object or custom field on the other side.

How changes propagate between Affinity and Neo4j

Each direction of the sync is driven by what the source system can signal and what the destination accepts — detection, delivery, and expected latency below.

Affinity Neo4j Sub-second propagation

DetectionAffinity notifies Stacksync of record changes through webhook events. Webhook subscriptions for record events, supplemented by polling.

DeliveryEach detected change is written to Neo4j through its API, with automatic retries and rate-limit backoff.

Neo4j Affinity Sub-second propagation

DetectionChanges in Neo4j are captured at the source via change data capture — no polling loop against its API. Neo4j Change Data Capture on Enterprise and Aura streams graph changes.

DeliveryEach detected change is written to Affinity through its API, with automatic retries and rate-limit backoff.

Rate-limit considerations

  • Affinity: Subject to the platform's published API rate limits.
What ships with Affinity ⇄ Neo4j

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

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

Real-time

Two-way sync

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

No-code + pro-code

Workflow automation

Trigger automated workflows whenever Affinity 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 Affinity or Neo4j record.

Observability

Monitoring

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

Trading partners

EDI

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

How the Affinity and Neo4j connectors work

Affinity

Integration surface
REST API
Authentication
API key
Change detection
Webhook subscriptions for record events, supplemented by polling
Capabilities
read · write · webhooks
Rate limits
Subject to the platform's published API rate limits

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

    Choose tables

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

Affinity and Neo4j integration FAQ

SECURITY

Security teams trust 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
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 523 integrations available for Affinity and Neo4j.

Popular · 6 of 523
All Affinity integrations All Neo4j integrations Browse all integrations
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