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Analytics ⇄ Database

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

Keep Pendo and PostgreSQL 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 Pendo and PostgreSQL

Give Pendo the users, events, and records that live in PostgreSQL in real time, and sync the cohorts and scores Pendo computes back into PostgreSQL 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 PostgreSQL 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 Sequences, Custom Types and Enums, Tables, Views in PostgreSQL with Poll / NPS Responses, Features / Pages / Guides (metadata), Visitors, Accounts 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 PostgreSQL, 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 Export feature, page, and guide Events out of Pendo over event-time windows into Postgres or a warehouse so product usage joins with CRM, billing, and support data in SQL.
  • 02 Pull NPS scores and poll responses into a database so voice-of-customer sits next to revenue, renewal, and churn signals for analysis.
  • 03 Feed reporting and BI from a continuously synced Postgres replica instead of scheduled ETL scripts
  • 04 Expose SaaS objects (CRM contacts, ERP invoices, support tickets) as Postgres tables that internal tools can query and join

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 PostgreSQL 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 PostgreSQL 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 PostgreSQL, where the services that read from the database act on them at query speed without calling the analytics API.

What you can sync between Pendo and PostgreSQL

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.

Pendo objects PostgreSQL objects How this pairing syncs
Page Events Page-view events for tagged pages; read-only via the Aggregation API, used for adoption and path analysis in a warehouse. Tables The primary sync target; rows map one-to-one to records in connected SaaS systems. Page Events is specific to Pendo and Tables to PostgreSQL — each maps to any object or custom field on the other side.
Guide Events Guide seen/advanced/dismissed and step events for in-app walkthroughs; read-only through the Aggregation API to measure onboarding flow adoption. Views Read-side projections used to expose joined or filtered data to a sync. Guide Events is specific to Pendo and Views to PostgreSQL — each maps to any object or custom field on the other side.
Poll / NPS Responses Survey answers and NPS scores captured in-app (pollEvents / npsEvents); read-only via the Aggregation API as voice-of-customer data. Materialized Views Precomputed result sets synced outward on a refresh schedule. Poll / NPS Responses is specific to Pendo and Materialized Views to PostgreSQL — each maps to any object or custom field on the other side.
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. Schemas Namespaces that scope which tables a sync reads and writes. Features / Pages / Guides (metadata) is specific to Pendo and Schemas to PostgreSQL — each maps to any object or custom field on the other side.
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. Columns Field-level mapping targets; types are mapped to the connected system's field types. Visitors is specific to Pendo and Columns to PostgreSQL — each maps to any object or custom field on the other side.
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. Primary and Unique Keys Used as match keys for idempotent upserts and conflict resolution. Accounts is specific to Pendo and Primary and Unique Keys to PostgreSQL — each maps to any object or custom field on the other side.

How changes propagate between Pendo and PostgreSQL

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.

Pendo PostgreSQL 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 applied to PostgreSQL as a row-level write, with types converted between the two schemas.

PostgreSQL Pendo Sub-second propagation

DetectionChanges in PostgreSQL are captured at the source via change data capture — no polling loop against its API. Logical replication (wal_level = logical) for change data capture via the "Postgres" connector.

DeliveryEach detected change is written to Pendo 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.
  • PostgreSQL: No API rate limits; throughput is bounded by connection limits, instance resources, and replication slot throughput.
What ships with Pendo ⇄ PostgreSQL

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

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

Real-time

Two-way sync

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

No-code + pro-code

Workflow automation

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

Observability

Monitoring

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

Trading partners

EDI

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

How the Pendo and PostgreSQL connectors work

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.

PostgreSQL

Integration surface
SQL wire protocol (PostgreSQL frontend/backend protocol)
Authentication
Database credentials (connection string or parameters), with optional SSL root certificate upload and optional SSH tunnel (SSH user + host); a least-privilege DB user
Change detection
Logical replication (wal_level = logical) for change data capture via the "Postgres" connector; database triggers (TRIGGER grant + stacksync_logging schema) via the trigger-based "Postgres Heroku" connector where
Capabilities
read · write · CDC
Rate limits
No API rate limits; throughput is bounded by connection limits, instance resources, and replication slot throughput
PostgreSQL setup guide
How it works

How to connect Pendo to PostgreSQL — 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 Pendo and PostgreSQL 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
    Pendo connected
    PostgreSQL connected
    OAuth 2.0
    SSH tunnel
    SSL certificate
    VPC peering
  2. 02

    Choose tables

    Pick the Pendo and PostgreSQL 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 · Pendo ⇄ PostgreSQL
    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
    Pendo PostgreSQL
    Company company_name text
    Email email text
    Amount amount numeric
    Created created_at timestamp
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FAQ

Pendo and PostgreSQL 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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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:

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 517 integrations available for Pendo and PostgreSQL.

Popular · 8 of 517
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