Two-way sync
Changes in Eloqua or Neo4j instantly reflect in both systems. No stale data, no manual imports.
Keep Eloqua 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.
Eloqua 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 Contact Lists and Segments, Contacts, Accounts, Custom Data Objects from Eloqua into Relationships, Properties, Labels, Indexes & Constraints 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 Eloqua to drive campaigns and ads, with Eloqua kept authoritative for engagement. You decide which side owns which fields, and Stacksync resolves conflicts by rules you set.
A new lead, form fill, or list change in Eloqua arrives as a row change in Neo4j, so scoring, jobs, and notifications run in the tooling your team already uses.
Lifecycle stage, subscription status, or plan maintained on either side stays current on the other, ending exports and dual data entry.
Contacts, leads, audiences, and campaign metrics from Eloqua live in Neo4j as ordinary tables or collections, joinable with the rest of your data and reachable without touching the vendor API.
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.
| Eloqua objects | Neo4j objects | How this pairing syncs | |
|---|---|---|---|
| Activities Engagement events (email opens, clicks, form submits, bounces, page views, subscribes/unsubscribes) exported through the Bulk API activities export; read-only feed for scoring and attribution. | Nodes Entity records (customers, products, accounts) written from source systems as labeled nodes. | Activities is specific to Eloqua and Nodes to Neo4j — each maps to any object or custom field on the other side. | |
| Campaigns Multi-step campaign-canvas assets managed through the Application REST API; campaign membership and response data read out for attribution reporting. | Relationships Typed, directed edges that carry the connections syncs exist to model. | Campaigns is specific to Eloqua and Relationships to Neo4j — each maps to any object or custom field on the other side. | |
| Emails Email creative and email-group assets managed via the Application REST API; usually read for reporting rather than written by a sync. | Properties Key-value attributes on both nodes and relationships, mapped from source fields. | Emails is specific to Eloqua and Properties to Neo4j — each maps to any object or custom field on the other side. | |
| Forms and Form Submits Form definitions and their submission data, accessed through the Application REST API; submissions read out into a warehouse for lead capture and analysis. | Labels Node type markers used to map source tables or objects onto the graph. | Forms and Form Submits is specific to Eloqua and Labels to Neo4j — each maps to any object or custom field on the other side. | |
| Contact Lists and Segments Shared lists (static) and segments (dynamic audiences); Contacts are added to or removed from shared lists based on lifecycle stage computed downstream. | Indexes & Constraints Uniqueness constraints and indexes that make MERGE-based upserts reliable and fast. | Contact Lists and Segments is specific to Eloqua and Indexes & Constraints to Neo4j — each maps to any object or custom field on the other side. | |
| Contacts Core person records, keyed on email address as the unique identifier; imported/exported via the Bulk API and upserted on email, synced two-way with CRM, warehouse, and app databases. | Databases Named databases in a single instance that scope multi-tenant or multi-domain syncs. | Contacts is specific to Eloqua 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 Eloqua for changes on an incremental schedule, reading only records changed since the previous pass. Polling via Bulk API exports filtered on a contact/account modified-date field using EML filter syntax.
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 Eloqua through its API, with automatic retries and rate-limit backoff.
Real-time sync, workflow automation, event queues, EDI, and monitoring, for every Eloqua–Neo4j connection.
Changes in Eloqua or Neo4j instantly reflect in both systems. No stale data, no manual imports.
Trigger automated workflows whenever Eloqua 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 Eloqua or Neo4j record.
Track your Eloqua ⇄ Neo4j sync health, view errors, and replay failed events in one click.
Transform legacy EDI complexity into simple database interactions between Eloqua 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 Eloqua 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 Eloqua 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 Eloqua and Neo4j: authenticate both systems, choose the objects to sync (such as Eloqua's Activities and Campaigns), map fields visually, and changes propagate both ways in milliseconds — no code required.
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 Eloqua and Neo4j records are not retained after a sync operation.
Stacksync pricing is usage-based and starts at $1,000/month, including the managed Eloqua and Neo4j connectors, real-time two-way sync, monitoring, and support. That replaces building and maintaining a custom Eloqua–Neo4j integration in-house.
Yes — Stacksync ships production-grade connectors for both Eloqua and Neo4j. The connectors handle authentication, schema detection, rate limits, and retries; you configure the sync, and Stacksync operates it.
Change detection on Eloqua: Polling via Bulk API exports filtered on a contact/account modified-date field using EML filter syntax; no general-purpose record-change webhook. 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: Relationships, Properties, Labels, Indexes & Constraints, plus custom fields where Neo4j exposes them. On the Eloqua side: Contact Lists and Segments, Contacts, Accounts, Custom Data Objects. Stacksync auto-detects both schemas and converts types between the two systems.
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 Eloqua and Neo4j.