Real-time
Two-way sync
Changes in Gainsight or Neo4j instantly reflect in both systems. No stale data, no manual imports.
Business productivity ⇄ Database
Gainsight to Neo4j integration — real-time, two-way sync
Keep Gainsight 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.
- SOC 2 and 6 other compliance frameworks
- POC with real engineers in minutes
Adopted by fast-scaling companies moving mission-critical data in real time
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Why teams connect Gainsight and Neo4j
Mirror Gainsight's data into Neo4j so your own code can read and write it like any other table, with changes flowing both ways in seconds.
Engineers integrate with tools like Gainsight 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 Task and Playbook, Custom Objects, Company, Person (People) from Gainsight into Indexes & Constraints, Databases, Users & Roles, Nodes 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 Gainsight, so the tool and the database never disagree.
Common use cases
- 01 Read Timeline Activities and Success Plan objectives into a reporting database for churn, QBR, and CSM-productivity dashboards.
- 02 Keep Relationship records aligned with a billing system or ERP so multi-product customers map to the correct contracts and invoices.
- 03 Keep a customer-360 graph continuously updated from ERP, CRM, and support sources.
- 04 Mirror CRM accounts and contacts into a graph to model buying-group and referral relationships.
Common sync patterns
One integration pattern for the whole stack
Every synced tool looks the same from the database, so each new integration is configuration, not a new codebase.
Read Gainsight with a query
Records from Gainsight are ordinary rows in Neo4j; join them, index them, and use them in application logic without touching the vendor API.
Automate Gainsight from your codebase
Write to the synced tables in Neo4j and Stacksync propagates the change into Gainsight, replacing custom integration code.
What you can sync between Gainsight and Neo4j
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.
| Gainsight objects | Neo4j objects | How this pairing syncs | |
|---|---|---|---|
| Relationship Sub-units within a company for multi-product or multi-team accounts; synced so each maps to the right contract in billing or an ERP. | Relationships Typed, directed edges that carry the connections syncs exist to model. | Same entity on both sides — records pair one-to-one and field-level changes reconcile in both directions. | |
| Success Plan Account objectives with associated tasks; read out for reporting or synced with project tools tracking onboarding and adoption. | Databases Named databases in a single instance that scope multi-tenant or multi-domain syncs. | Success Plan is specific to Gainsight and Databases to Neo4j — each maps to any object or custom field on the other side. | |
| Task and Playbook Cockpit tasks generated from CTAs and playbooks; synced with Jira or Asana so execution happens in the team's own tool. | Users & Roles Security principals controlling what an integration credential can query or modify. | Task and Playbook is specific to Gainsight and Users & Roles to Neo4j — each maps to any object or custom field on the other side. | |
| Custom Objects Org-specific MDA tables with the __gc suffix; discoverable via the Describe API so field mappings can be generated automatically. | Nodes Entity records (customers, products, accounts) written from source systems as labeled nodes. | Custom Objects is specific to Gainsight and Nodes to Neo4j — each maps to any object or custom field on the other side. | |
| Company Customer/account master in Gainsight CS; two-way synced with CRM and warehouse customer tables to keep ARR, owner, and renewal fields aligned. | Properties Key-value attributes on both nodes and relationships, mapped from source fields. | Company is specific to Gainsight and Properties to Neo4j — each maps to any object or custom field on the other side. | |
| Person (People) Contacts associated to companies through the Company Person junction; synced two-way with CRM contacts and warehouse person records. | Labels Node type markers used to map source tables or objects onto the graph. | Person (People) is specific to Gainsight and Labels to Neo4j — each maps to any object or custom field on the other side. |
How changes propagate between Gainsight and Neo4j
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.
Gainsight Neo4j Interval-based propagation
DetectionStacksync polls Gainsight for changes on an incremental schedule, reading only records changed since the previous pass. Polling on the ModifiedDate (GS Modified Date) system field, which is filterable and sortable on every object.
DeliveryEach detected change is written to Neo4j through its API, with automatic retries and rate-limit backoff.
Neo4j Gainsight Sub-second propagation
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 Gainsight through its API, with automatic retries and rate-limit backoff.
Rate-limit considerations
- Gainsight: Synchronous APIs are capped near 100 calls/min and 50,000/day; the asynchronous Bulk API allows 10 calls/hour and 100/day. Both are fixed-window limits, and the applicable per-hour and per-day limits are returned in the x-ratelimit-limit response header.
What ships with Gainsight ⇄ Neo4j
Connect Gainsight and Neo4j for flexible, real-time data sync.
Real-time sync, workflow automation, event queues, EDI, and monitoring, for every Gainsight–Neo4j connection.
No-code + pro-code
Workflow automation
Trigger automated workflows whenever Gainsight or Neo4j data changes, update records, fire webhooks, or kick off sequences without brittle API scripts.
At scale
Event queues
Handle millions of events per minute without losing a single Gainsight or Neo4j record.
Observability
Monitoring
Track your Gainsight ⇄ Neo4j sync health, view errors, and replay failed events in one click.
Trading partners
EDI
Transform legacy EDI complexity into simple database interactions between Gainsight and Neo4j.
How the Gainsight and Neo4j connectors work
Gainsight
- Integration surface
- REST APIs (per-object) and asynchronous Bulk REST API
- Authentication
- API access key passed in the 'accesskey' request header (non-expiring), generated by a Gainsight admin; M2M OAuth (Client ID/Secret) is also supported
- Change detection
- Polling on the ModifiedDate (GS Modified Date) system field, which is filterable and sortable on every object; Rules Engine Real-Time Rules can optionally push specific object events (e.g., a Company stage change) to an external endpoint
- Capabilities
- read · write
- Rate limits
- Synchronous APIs are capped near 100 calls/min and 50,000/day; the asynchronous Bulk API allows 10 calls/hour and 100/day. Both are fixed-window limits, and the applicable per-hour and per-day limits are returned in the x-ratelimit-limit response header.
Neo4j
- Integration surface
- Bolt binary protocol with Cypher via official drivers, plus an HTTP query API
- Authentication
- Username/password (basic auth); enterprise deployments add SSO options
- Change detection
- Neo4j Change Data Capture on Enterprise and Aura streams graph changes; otherwise Cypher polling on timestamp properties
- Capabilities
- read · write · CDC
How it works
How to connect Gainsight to Neo4j — three steps, no code
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.
- 01
Connect your apps
Authenticate Gainsight 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.
Gainsight
connected
Neo4j
connected
OAuth 2.0SSH tunnelSSL certificateVPC peering - 02
Choose tables
Pick the Gainsight 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.
objects · Gainsight ⇄ Neo4jCustomers 12,480Sales Orders 8,213Invoices 5,902Items 1,344 - 03
Map fields
Fields map automatically even when names and types differ. Stacksync handles transformation and type casting for you, zero configuration required.
Gainsight Neo4jCompany company_name textEmail email textAmount amount numericCreated created_at timestamp
FAQ
Gainsight and Neo4j integration FAQ
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Yes. Stacksync provides a managed, real-time two-way integration between Gainsight and Neo4j: authenticate both systems, choose the objects to sync (such as Gainsight's Relationship and Success Plan), map fields visually, and changes propagate both ways in milliseconds — no code required.
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Gainsight: Objects are typed STANDARD (Company, Person, Relationship), CUSTOM (__gc suffix), or SYSTEM; the Describe API reports which fields are createable, updateable, filterable, and sortable. Neo4j: Client drivers connect over the Bolt binary protocol rather than HTTP for query workloads. Stacksync's field mapping accounts for these differences between Gainsight and Neo4j without custom code.
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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 Gainsight and Neo4j records are not retained after a sync operation.
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Stacksync pricing is usage-based and starts at $1,000/month, including the managed Gainsight and Neo4j connectors, real-time two-way sync, monitoring, and support. That replaces building and maintaining a custom Gainsight–Neo4j integration in-house.
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Yes — Stacksync ships production-grade connectors for both Gainsight and Neo4j. The connectors handle authentication, schema detection, rate limits, and retries; you configure the sync, and Stacksync operates it.
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Change detection on Gainsight: Polling on the ModifiedDate (GS Modified Date) system field, which is filterable and sortable on every object; Rules Engine Real-Time Rules can optionally push specific object events (e.g., a Company stage change) to an external endpoint. 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.
SECURITY
Security teams trust Stacksync
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.
SOC 2 Type II
ISO 27001
HIPAA BAA
GDPR
CCPA
CSA STAR
DPF US-EU-UK-CH
→ SECURITY WITH BENEFITS
SSO & SCIM
Let your users access Stacksync from your centralized user management systems. Works with Okta, Azure, Google SSO and more.
Alerts
Immediately get alerted about record syncing issues over email, Slack, PagerDuty and WhatsApp. Resolve issues from a centralized dashboard with retry and revert options.
Secure connection options
Securely connects to your systems with:
Related integrations
Every pair below is a real-time, two-way sync. Search all 522 integrations available for Gainsight and Neo4j.
Popular · 5 of 522
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Gainsight ⇄ Elasticsearch -
Gainsight ⇄ Google Cloud Spanner - Gainsight ⇄ Google Cloud SQL
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Gainsight ⇄ IBM AS/400 -
Neo4j ⇄ Atlassian
No integrations match .
