Two-way sync
Changes in Folk CRM or Neo4j instantly reflect in both systems. No stale data, no manual imports.
Keep Folk 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.
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 Reminders, People, Companies, Groups from Folk CRM into Properties, Labels, Indexes & Constraints, Databases in Neo4j with real-time, bi-directional sync. Read CRM records with plain queries; write updates from your application and they appear in Folk 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.
Accounts, contacts, and custom objects from Folk CRM become tables in Neo4j you can join with application data directly.
Signup, usage, or lifecycle changes written to Neo4j sync onto the matching records in Folk CRM, giving go-to-market teams live product context.
Back-office apps read and write the synced tables; Stacksync handles the Folk CRM API, limits, and retries.
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.
| Folk CRM objects | Neo4j objects | How this pairing syncs | |
|---|---|---|---|
| Groups Shared workspaces that organize contacts; group membership is often the field integrations act on. | Relationships Typed, directed edges that carry the connections syncs exist to model. | Groups is specific to Folk CRM and Relationships to Neo4j — each maps to any object or custom field on the other side. | |
| Custom fields Group-scoped attributes that receive enriched or computed values from external systems. | Properties Key-value attributes on both nodes and relationships, mapped from source fields. | Custom fields is specific to Folk CRM and Properties to Neo4j — each maps to any object or custom field on the other side. | |
| Notes Free-text context attached to people and companies, readable for reporting. | Labels Node type markers used to map source tables or objects onto the graph. | Notes is specific to Folk CRM and Labels to Neo4j — each maps to any object or custom field on the other side. | |
| Reminders Follow-up items that can be created from external triggers. | Indexes & Constraints Uniqueness constraints and indexes that make MERGE-based upserts reliable and fast. | Reminders is specific to Folk CRM and Indexes & Constraints to Neo4j — each maps to any object or custom field on the other side. | |
| People Contact records; the primary entity synced with outreach and enrichment tools. | Databases Named databases in a single instance that scope multi-tenant or multi-domain syncs. | People is specific to Folk CRM and Databases to Neo4j — each maps to any object or custom field on the other side. | |
| Companies Organization records linked to people and kept aligned with billing or CS systems. | Users & Roles Security principals controlling what an integration credential can query or modify. | Companies is specific to Folk CRM and Users & Roles to Neo4j — each maps to any object or custom field on the other side. |
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.
DetectionFolk CRM notifies Stacksync of record changes through webhook events. Webhook subscriptions for record events, with polling of list endpoints as a fallback.
DeliveryEach detected change is written to Neo4j through its API, with automatic retries and rate-limit backoff.
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 Folk CRM through its API, with automatic retries and rate-limit backoff.
Real-time sync, workflow automation, event queues, EDI, and monitoring, for every Folk CRM–Neo4j connection.
Changes in Folk CRM or Neo4j instantly reflect in both systems. No stale data, no manual imports.
Trigger automated workflows whenever Folk CRM or Neo4j data changes, update records, fire webhooks, or kick off sequences without brittle API scripts.
Handle millions of events per minute without losing a single Folk CRM or Neo4j record.
Track your Folk CRM ⇄ Neo4j sync health, view errors, and replay failed events in one click.
Transform legacy EDI complexity into simple database interactions between Folk CRM and Neo4j.
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.
Authenticate Folk 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.
Pick the Folk 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.
Fields map automatically even when names and types differ. Stacksync handles transformation and type casting for you, zero configuration required.
Yes. Stacksync provides a managed, real-time two-way integration between Folk CRM and Neo4j: authenticate both systems, choose the objects to sync (such as Folk CRM's Groups and Custom fields), map fields visually, and changes propagate both ways in milliseconds — no code required.
Common patterns for Folk CRM and Neo4j: Query the CRM like a database; Product events onto CRM records; Internal tools without API code. Accounts, contacts, and custom objects from Folk CRM become tables in Neo4j you can join with application data directly.
Folk CRM: REST API. Authentication: API key (Bearer token). Neo4j: Bolt binary protocol with Cypher via official drivers, plus an HTTP query API. Authentication: Username/password (basic auth); enterprise deployments add SSO options. Stacksync manages authentication, retries, and rate limits on both sides.
Folk CRM: The API surface covers people, companies, groups, deals, notes, reminders, and interactions, plus webhook subscriptions for record events. Neo4j: Neo4j uses a property graph model in which nodes and relationships both carry key-value properties, so edges hold data rather than just linking rows. Stacksync's field mapping accounts for these differences between Folk CRM and Neo4j without custom code.
Stacksync is SOC 2 Type II and ISO 27001 certified with HIPAA BAA support. Data is encrypted in transit, and a zero-persistent-storage architecture means Folk CRM and Neo4j records are not retained after a sync operation.
Stacksync pricing is usage-based and starts at $1,000/month, including the managed Folk CRM and Neo4j connectors, real-time two-way sync, monitoring, and support. That replaces building and maintaining a custom Folk CRM–Neo4j integration in-house.
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.
Let your users access Stacksync from your centralized user management systems. Works with Okta, Azure, Google SSO and more.
Immediately get alerted about record syncing issues over email, Slack, PagerDuty and WhatsApp. Resolve issues from a centralized dashboard with retry and revert options.
Securely connects to your systems with:
Every pair below is a real-time, two-way sync. Search all 427 integrations available for Folk CRM and Neo4j.