Two-way sync
Changes in Neo4j or Sysaid instantly reflect in both systems. No stale data, no manual imports.
Keep Neo4j and Sysaid in sync without custom scripts. Cut weeks of integration work, eliminate silent data drift, and give your team a single, reliable source of truth.
Engineers integrate with tools like Sysaid through APIs, which means auth, pagination, rate limits, webhooks, and retry logic, all maintained forever and all different for every tool. Meanwhile the data would be trivial to use if it simply lived in Neo4j.
Stacksync mirrors Changes, Users, Assets, Configuration Items (CIs) from Sysaid into Relationships, Properties, Labels, Indexes & Constraints in Neo4j and keeps both sides in sync in real time. Your services query the database directly, and inserts or updates your code makes flow back into Sysaid, so the tool and the database never disagree.
Write to the synced tables in Neo4j and Stacksync propagates the change into Sysaid, replacing custom integration code.
Updates in Sysaid arrive as row changes in Neo4j, so triggers, jobs, and services can respond in near real time.
Every synced tool looks the same from the database, so each new integration is configuration, not a new codebase.
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.
| Neo4j objects | Sysaid objects | How this pairing syncs | |
|---|---|---|---|
| Labels Node type markers used to map source tables or objects onto the graph. | Custom Fields Org-specific fields on service records, discoverable through the API so mappings can be generated without hardcoding names. | Labels is specific to Neo4j and Custom Fields to Sysaid — each maps to any object or custom field on the other side. | |
| Indexes & Constraints Uniqueness constraints and indexes that make MERGE-based upserts reliable and fast. | Incidents Break/fix tickets under /api/v1/sr with type=incident; created and updated two-way with status, priority, assignee, category, and SLA fields. | Indexes & Constraints is specific to Neo4j and Incidents to Sysaid — each maps to any object or custom field on the other side. | |
| Databases Named databases in a single instance that scope multi-tenant or multi-domain syncs. | Service Requests Catalog and help-desk requests on the same /sr endpoint (type=request); written or read so fulfillment can be driven from another system. | Databases is specific to Neo4j and Service Requests to Sysaid — each maps to any object or custom field on the other side. | |
| Users & Roles Security principals controlling what an integration credential can query or modify. | Problems Root-cause records that group related incidents; read and written to keep problem management aligned with an external ITSM or reporting store. | Users & Roles is specific to Neo4j and Problems to Sysaid — each maps to any object or custom field on the other side. | |
| Nodes Entity records (customers, products, accounts) written from source systems as labeled nodes. | Changes Change records (type=change) with approval and scheduling fields; synced two-way to drive CAB review and deployment workflows. | Nodes is specific to Neo4j and Changes to Sysaid — each maps to any object or custom field on the other side. | |
| Relationships Typed, directed edges that carry the connections syncs exist to model. | Users End users and admins on the /users endpoint; synced with an HRIS or identity source to keep requester and agent records current. | Relationships is specific to Neo4j and Users to Sysaid — 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.
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 Sysaid through its API, with automatic retries and rate-limit backoff.
DetectionSysaid notifies Stacksync of record changes through webhook events. Webhooks (beta) push sr.created and sr.updated events with changed-field diffs and an X-Sysaid-Signature.
DeliveryEach detected change is written to Neo4j through its API, with automatic retries and rate-limit backoff.
Real-time sync, workflow automation, event queues, EDI, and monitoring, for every Neo4j–Sysaid connection.
Changes in Neo4j or Sysaid instantly reflect in both systems. No stale data, no manual imports.
Trigger automated workflows whenever Neo4j or Sysaid 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 or Sysaid record.
Track your Neo4j ⇄ Sysaid sync health, view errors, and replay failed events in one click.
Transform legacy EDI complexity into simple database interactions between Neo4j and Sysaid.
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 and Sysaid 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 Neo4j and Sysaid 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 Neo4j and Sysaid: authenticate both systems, choose the objects to sync (such as Neo4j's Labels and Indexes & Constraints), map fields visually, and changes propagate both ways in milliseconds — no code required.
Sysaid: SysAid ships cloud and on-premise editions; on-prem instances must be network-reachable from Stacksync, and the legacy V0 API uses session-cookie login instead of tokens. Neo4j: Cypher is its declarative query language, and MERGE semantics give integrations a native upsert primitive for idempotent syncs. Stacksync's field mapping accounts for these differences between Neo4j and Sysaid 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 Neo4j and Sysaid records are not retained after a sync operation.
Stacksync pricing is usage-based and starts at $1,000/month, including the managed Neo4j and Sysaid connectors, real-time two-way sync, monitoring, and support. That replaces building and maintaining a custom Neo4j–Sysaid integration in-house.
Yes — Stacksync ships production-grade connectors for both Neo4j and Sysaid. The connectors handle authentication, schema detection, rate limits, and retries; you configure the sync, and Stacksync operates it.
Change detection on Neo4j: Neo4j Change Data Capture on Enterprise and Aura streams graph changes; otherwise Cypher polling on timestamp properties. On Sysaid: Webhooks (beta) push sr.created and sr.updated events with changed-field diffs and an X-Sysaid-Signature; otherwise poll the /sr endpoint filtering on update_time.gte. Each detected change propagates to the other side in milliseconds, with field-level conflict resolution and an inspectable event log.
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 522 integrations available for Neo4j and Sysaid.