Two-way sync
Changes in Neo4j instantly reflect across connected systems. No stale data, no manual imports.
Two-way sync Neo4j across all your CRMs, databases, data warehouses, EDI systems, and AI tools, with custom workflows tailored to your data.
These objects sync between Neo4j and any connected system, with field-level mapping and conflict resolution. Custom fields are picked up from the live schema where Neo4j exposes them.
The connector runs on Neo4j's native API. Stacksync manages authentication, rate limits, retries, and schema changes so your team does not maintain integration code.
Real-time sync, workflow automation, event queues, EDI, and monitoring, for every connection.
Changes in Neo4j instantly reflect across connected systems. No stale data, no manual imports.
Trigger automated workflows whenever 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 Neo4j record.
Track your Neo4j sync health, view errors, and replay failed events in one click.
Transform legacy EDI complexity into simple database interactions.
Neo4j is adopted by data engineering and application teams for relationship-heavy workloads — recommendations, fraud detection, knowledge graphs, and increasingly GenAI retrieval with vector indexes — run self-managed or as the Aura cloud service. It is rarely the master system of record; it sits beside operational databases and warehouses as a derived graph, so its data gravity is the relationship structure built on top of records mastered elsewhere, which makes a continuous feed from source systems essential.
Mirror CRM accounts and contacts into a graph to model buying-group and referral relationships.
Sync product catalog and order history into Neo4j to power recommendation queries.
Feed identity and access data into a graph for entitlement and blast-radius analysis.
Write computed relationship scores (fraud, influence, similarity) back to operational systems.
Keep a customer-360 graph continuously updated from ERP, CRM, and support sources.
Continuously project customer and account records from a CRM or warehouse into Nodes with Labels and Relationships, keeping a customer-360 graph current without batch reloads.
Pick the system you need to keep in sync with Neo4j. Each page covers the sync setup, field mapping, and common workflows for that pair.
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 Neo4j with its native method — OAuth, API keys, or service accounts — plus secure options like SSH tunneling, IP whitelisting, and VPC peering.
Pick the Neo4j objects to sync — Stacksync auto-detects the schema, 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.
FAQ
Neo4j's core objects — Nodes, Relationships, Properties, Labels and custom fields — can sync with any of 302 other systems. Every integration is real-time and bidirectional, with field-level mapping and conflict resolution.
Via Bolt binary protocol with Cypher via official drivers, plus an HTTP query API, authenticated with Username/password (basic auth); enterprise deployments add SSO options. Changes are detected as follows — neo4j Change Data Capture on Enterprise and Aura streams graph changes; otherwise Cypher polling on timestamp properties. Stacksync manages rate limits, retries, and schema changes automatically.
Yes. Changes made in Neo4j propagate to the connected system and vice versa, in milliseconds. One-way flows are also supported when a direction should stay read-only.
Most Neo4j integrations go live in minutes: authenticate Neo4j and the other system, pick objects and fields, and enable the sync. No code and no infrastructure to manage.
Stacksync is SOC 2 Type II, ISO 27001, GDPR and HIPAA compliant. Neo4j data is encrypted in transit, and a zero-persistent-storage architecture means records are not retained after a sync operation.
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: