Two-way sync
Changes in Marketo or Neo4j instantly reflect in both systems. No stale data, no manual imports.
Keep Marketo 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.
Marketo holds the people, audiences, and campaign activity that marketing runs on, but that data sits behind interfaces built for marketers, not for your internal systems. Engineers and analysts who need contacts, list membership, or engagement, for reporting, attribution, or product logic, end up writing integration code against a rate-limited API and maintaining it forever. Meanwhile the customer and usage data marketers want for targeting already lives in Neo4j, hard to get into campaigns without manual exports.
Stacksync mirrors Activities and Lead Changes, Static Lists, Programs and Program Members, Smart Campaigns from Marketo into Properties, Labels, Indexes & Constraints, Databases in Neo4j field by field, in real time, and in both directions. Marketing records become rows your code can query and join with product and customer data; audiences and attributes computed in Neo4j, from usage, orders, or account status, sync back into Marketo to drive campaigns and ads, with Marketo kept authoritative for engagement. You decide which side owns which fields, and Stacksync resolves conflicts by rules you set.
Contacts, leads, audiences, and campaign metrics from Marketo live in Neo4j as ordinary tables or collections, joinable with the rest of your data and reachable without touching the vendor API.
Segments computed in Neo4j from product usage, orders, or account status sync into Marketo as lists or audiences, so campaigns and ads target the people your data says they should.
Opens, clicks, sends, RSVPs, or ad activity from Marketo land in Neo4j beside the matching customer record, ready for reporting and revenue attribution.
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.
| Marketo objects | Neo4j objects | How this pairing syncs | |
|---|---|---|---|
| Companies Company records linked to Leads via a company link field; read and upserted through /rest/v1/companies.json, typically mastered in a CRM or ERP and written into Marketo for account context. | Nodes Entity records (customers, products, accounts) written from source systems as labeled nodes. | Companies is specific to Marketo and Nodes to Neo4j — each maps to any object or custom field on the other side. | |
| Opportunities and Opportunity Roles Revenue objects synced via /rest/v1/opportunities.json and /rest/v1/opportunities/roles.json; roles associate an opportunity with a Lead, so pipeline data can drive nurture and scoring. | Relationships Typed, directed edges that carry the connections syncs exist to model. | Opportunities and Opportunity Roles is specific to Marketo and Relationships to Neo4j — each maps to any object or custom field on the other side. | |
| Custom Objects Auxiliary data tables described via /rest/v1/customobjects.json and read/written via /rest/v1/customobjects/{apiName}.json, linked to Leads by a dedupe/link field so campaigns branch on records like purchases or subscriptions. | Properties Key-value attributes on both nodes and relationships, mapped from source fields. | Custom Objects is specific to Marketo and Properties to Neo4j — each maps to any object or custom field on the other side. | |
| Activities and Lead Changes Engagement feed (opens, clicks, form fills, Data Value Changes) read via GET /rest/v1/activities.json using a paging token from /rest/v1/activities/pagingtoken.json (sinceDatetime), plus Get Lead Changes and Get Deleted Leads; read-only, also available via async Bulk Activity Extract. | Labels Node type markers used to map source tables or objects onto the graph. | Activities and Lead Changes is specific to Marketo and Labels to Neo4j — each maps to any object or custom field on the other side. | |
| Static Lists Named static lists; read via /rest/v1/lists.json, with Leads added or removed via POST and DELETE on /rest/v1/lists/{listId}/leads.json to control campaign membership from lifecycle logic computed downstream. | Indexes & Constraints Uniqueness constraints and indexes that make MERGE-based upserts reliable and fast. | Static Lists is specific to Marketo and Indexes & Constraints to Neo4j — each maps to any object or custom field on the other side. | |
| Programs and Program Members Marketing programs read via /rest/v1/programs.json; program membership and member status managed via /rest/v1/leads/programs/{programId}.json and the program status endpoint for acquisition and attribution reporting. | Databases Named databases in a single instance that scope multi-tenant or multi-domain syncs. | Programs and Program Members is specific to Marketo and Databases 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.
DetectionStacksync polls Marketo for changes on an incremental schedule, reading only records changed since the previous pass. Polling: Get Lead Changes and Get Lead Activities from a paging token seeded by a sinceDatetime, plus Get Deleted Leads, or Bulk Extract filtered on.
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 Marketo through its API, with automatic retries and rate-limit backoff.
Real-time sync, workflow automation, event queues, EDI, and monitoring, for every Marketo–Neo4j connection.
Changes in Marketo or Neo4j instantly reflect in both systems. No stale data, no manual imports.
Trigger automated workflows whenever Marketo 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 Marketo or Neo4j record.
Track your Marketo ⇄ Neo4j sync health, view errors, and replay failed events in one click.
Transform legacy EDI complexity into simple database interactions between Marketo 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 Marketo 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 Marketo 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 Marketo and Neo4j: authenticate both systems, choose the objects to sync (such as Marketo's Companies and Opportunities and Opportunity Roles), map fields visually, and changes propagate both ways in milliseconds — no code required.
Change detection on Marketo: Polling: Get Lead Changes and Get Lead Activities from a paging token seeded by a sinceDatetime, plus Get Deleted Leads, or Bulk Extract filtered on createdAt/updatedAt. Marketo's Webhooks are Smart Campaign flow-step outbound HTTP calls to a URL, not a general record-change subscription, so there is no push feed of arbitrary CRUD. On Neo4j: Neo4j Change Data Capture on Enterprise and Aura streams graph changes; otherwise Cypher polling on timestamp properties. Each detected change propagates to the other side in milliseconds, with field-level conflict resolution and an inspectable event log.
On the Neo4j side: Properties, Labels, Indexes & Constraints, Databases, plus custom fields where Neo4j exposes them. On the Marketo side: Activities and Lead Changes, Static Lists, Programs and Program Members, Smart Campaigns. Stacksync auto-detects both schemas and converts types between the two systems.
Yes. Each object mapping can be bidirectional or restricted to a single direction (both systems accept writes). Read-only mirrors, one-way pushes, and full two-way sync can be mixed in the same integration.
Common patterns for Marketo and Neo4j: Query Marketo like a database; Build audiences from your own data; Engagement and results next to the customer. Contacts, leads, audiences, and campaign metrics from Marketo live in Neo4j as ordinary tables or collections, joinable with the rest of your data and reachable without touching the vendor API.
Marketo: Marketo REST API (JSON over HTTPS) for Leads, Companies, Opportunities, Custom Objects, Activities, Lists, Programs, and Campaigns, plus an asynchronous Bulk Import (leads) and Bulk Extract (leads/activities/program members/custom objects) API and an Asset REST API for emails, forms, and landing pages. Authentication: OAuth 2.0 client_credentials (2-legged): GET the Identity URL /oauth/token?grant_type=client_credentials with a Custom Service client_id and client_secret to receive an access token valid for 3600 seconds, then send it as Authorization: Bearer on each call. The instance base URL is https://{munchkinId}.mktorest.com; passing the token as an access_token query parameter is deprecated (removal July 31, 2026). 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.
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 477 integrations available for Marketo and Neo4j.