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Neo4j to Pendo integration — real-time, two-way sync

Keep Neo4j and Pendo in sync without custom scripts. Cut weeks of integration work, eliminate silent data drift, and give your team a single, reliable source of truth.

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Adopted by fast-scaling companies moving mission-critical data in real time

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Why teams connect Neo4j and Pendo

Give Pendo the users, events, and records that live in Neo4j in real time, and sync the cohorts and scores Pendo computes back into Neo4j where your applications read them.

A database holds the rows your business runs on: the users, events, orders, and records that every service reads and writes. Pendo is where people make sense of them, as dashboards, funnels, cohorts, and metrics. Moving the data from Neo4j into Pendo usually means a hand-built extract or a change-data-capture pipeline that breaks the moment a column is renamed, and reporting that always trails last night's load.

Stacksync syncs Properties, Labels, Indexes & Constraints, Databases in Neo4j with Feature Events, Page Events, Guide Events, Poll / NPS Responses in Pendo in real time and in both directions. Operational rows flow into Pendo as they change, so dashboards read current data with no pipeline to maintain, and the segments, cohorts, or scores Pendo computes flow back into Neo4j, where the applications and services that read from it get them at normal query latency. Field-level mapping, schema and type translation, and conflict resolution are handled for you.

Common use cases

  • 01 Push warehouse-computed Account attributes (plan, ARR, renewal date, health score, CSM owner) onto Pendo Accounts via the Metadata API so segments and guide targeting stay current.
  • 02 Set custom Visitor fields (role, lifecycle stage, entitlement) from the warehouse so in-app guides reach the right users without manual CSV uploads.
  • 03 Mirror CRM accounts and contacts into a graph to model buying-group and referral relationships.
  • 04 Sync product catalog and order history into Neo4j to power recommendation queries.

Common sync patterns

Filter and grouping dimensions kept fresh

Attributes teams slice by, such as plan, region, or account owner, stay current in Pendo because they sync from Neo4j as they change, instead of going stale after a one-time import.

Where Pendo tracks product events: behavior onto stored records

Signup, usage, and lifecycle events captured in Pendo sync into Neo4j as rows, so applications and internal tools can read behavioral data next to the records they already keep.

Where Pendo builds cohorts or scores: results your services can read

Segments, cohorts, or scores computed in Pendo sync back into Neo4j, where the services that read from the database act on them at query speed without calling the analytics API.

What you can sync between Neo4j and Pendo

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 Pendo objects How this pairing syncs
Properties Key-value attributes on both nodes and relationships, mapped from source fields. Guide Events Guide seen/advanced/dismissed and step events for in-app walkthroughs; read-only through the Aggregation API to measure onboarding flow adoption. Properties is specific to Neo4j and Guide Events to Pendo — each maps to any object or custom field on the other side.
Labels Node type markers used to map source tables or objects onto the graph. Poll / NPS Responses Survey answers and NPS scores captured in-app (pollEvents / npsEvents); read-only via the Aggregation API as voice-of-customer data. Labels is specific to Neo4j and Poll / NPS Responses to Pendo — 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. Features / Pages / Guides (metadata) Definitions of tagged UI elements listed through the entity endpoints; read-only reference used to label and join the event streams. Indexes & Constraints is specific to Neo4j and Features / Pages / Guides (metadata) to Pendo — 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. Visitors End-user records with agent-collected and custom fields; queried through the Aggregation API and enriched with custom fields written back via the Metadata API. Databases is specific to Neo4j and Visitors to Pendo — 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. Accounts Company/workspace records that roll visitors up to an account dimension; readable via Aggregation and a write target for custom fields (plan, ARR, health) via the Metadata API. Users & Roles is specific to Neo4j and Accounts to Pendo — 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. Feature Events Click/interaction events on tagged features, read-only through the Aggregation API over an event-time window and joined to the Feature definitions. Nodes is specific to Neo4j and Feature Events to Pendo — each maps to any object or custom field on the other side.

How changes propagate between Neo4j and Pendo

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.

Neo4j Pendo 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 Pendo through its API, with automatic retries and rate-limit backoff.

Pendo Neo4j Interval-based propagation

DetectionStacksync polls Pendo for changes on an incremental schedule, reading only records changed since the previous pass. Polling - reads query the Aggregation API over event-time windows.

DeliveryEach detected change is written to Neo4j through its API, with automatic retries and rate-limit backoff.

Rate-limit considerations

  • Pendo: Pendo does not publish fixed numeric limits; it throttles heavy Aggregation queries with 429s and caps/paginates large responses, so wide exports are paced and time-windowed.
What ships with Neo4j ⇄ Pendo

Connect Neo4j and Pendo for flexible, real-time data sync.

Real-time sync, workflow automation, event queues, EDI, and monitoring, for every Neo4j–Pendo connection.

Real-time

Two-way sync

Changes in Neo4j or Pendo instantly reflect in both systems. No stale data, no manual imports.

No-code + pro-code

Workflow automation

Trigger automated workflows whenever Neo4j or Pendo 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 Neo4j or Pendo record.

Observability

Monitoring

Track your Neo4j ⇄ Pendo sync health, view errors, and replay failed events in one click.

Trading partners

EDI

Transform legacy EDI complexity into simple database interactions between Neo4j and Pendo.

How the Neo4j and Pendo connectors work

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

Pendo

Integration surface
Pendo Engage API (REST) on app.pendo.io (US) / app.eu.pendo.io (EU), base path /api/v1/ - Aggregation API for reads and the Metadata API for writes
Authentication
Integration key sent in the x-pendo-integration-key header, generated in Subscription Settings; keys are scoped read-only or read/write, so writes require a read/write key
Change detection
Polling - reads query the Aggregation API over event-time windows; no change-data-capture feed and no data-change webhooks. Writes go through the Metadata API on demand.
Capabilities
read · write
Rate limits
Pendo does not publish fixed numeric limits; it throttles heavy Aggregation queries with 429s and caps/paginates large responses, so wide exports are paced and time-windowed.
How it works

How to connect Neo4j to Pendo — 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.

  1. 01

    Connect your apps

    Authenticate Neo4j and Pendo with each platform's native method — OAuth, API keys, or service accounts — plus secure options like SSH tunneling, IP whitelisting, and VPC peering.

    • OAuth 2.0
    • SSH tunnel
    • VPC peering
    Neo4j connected
    Pendo connected
    OAuth 2.0
    SSH tunnel
    SSL certificate
    VPC peering
  2. 02

    Choose tables

    Pick the Neo4j and Pendo 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.

    • Standard objects
    • Custom objects
    • Auto-schema
    objects · Neo4j ⇄ Pendo
    Customers 12,480
    Sales Orders 8,213
    Invoices 5,902
    Items 1,344
  3. 03

    Map fields

    Fields map automatically even when names and types differ. Stacksync handles transformation and type casting for you, zero configuration required.

    • Auto-map
    • Type casting
    • Transforms
    Neo4j Pendo
    Company company_name text
    Email email text
    Amount amount numeric
    Created created_at timestamp
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FAQ

Neo4j and Pendo integration FAQ

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.

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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:

OAuth 2 SSH Tunnelling SSL certificates IP Whitelisting VPN gateway VPC peering and more

Related integrations

Every pair below is a real-time, two-way sync. Search all 489 integrations available for Neo4j and Pendo.

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