Real-time
Two-way sync
Changes in Pendo or Postgres Heroku instantly reflect in both systems. No stale data, no manual imports.
Analytics ⇄ Database
Pendo to Postgres Heroku integration — real-time, two-way sync
Keep Pendo and Postgres Heroku 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 Postgres Heroku
Give Pendo the users, events, and records that live in Postgres Heroku in real time, and sync the cohorts and scores Pendo computes back into Postgres Heroku 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 Postgres Heroku 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 Follower Databases, Tables, Views, Materialized Views in Postgres Heroku 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 Postgres Heroku, 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 Pull NPS scores and poll responses into a database so voice-of-customer sits next to revenue, renewal, and churn signals for analysis.
- 02 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.
- 03 Keep several Heroku app databases aligned with one system of record
- 04 Reflect billing and subscription records into the app database so product logic reads local rows
Common sync patterns
One version of each user or account
A user, account, or record corrected in either system updates the other, so the identity your reports group by matches the identity your database stores.
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 Postgres Heroku 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 Postgres Heroku as rows, so applications and internal tools can read behavioral data next to the records they already keep.
What you can sync between Pendo and Postgres Heroku
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 | Postgres Heroku objects | How this pairing 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. | Materialized Views Precomputed result sets synced outward on refresh. | Visitors is specific to Pendo and Materialized Views to Postgres Heroku — 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. | Schemas Namespaces that scope which tables a sync reads and writes. | Accounts is specific to Pendo and Schemas to Postgres Heroku — each maps to any object or custom field on the other side. | |
| 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. | Primary and Unique Keys Match keys for idempotent upserts from connected systems. | Feature Events is specific to Pendo and Primary and Unique Keys to Postgres Heroku — each maps to any object or custom field on the other side. | |
| Page Events Page-view events for tagged pages; read-only via the Aggregation API, used for adoption and path analysis in a warehouse. | JSONB Columns Semi-structured payloads for nested SaaS objects and metadata. | Page Events is specific to Pendo and JSONB Columns to Postgres Heroku — 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. | Sequences Generate surrogate keys for rows created by inbound syncs. | Guide Events is specific to Pendo and Sequences to Postgres Heroku — 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. | Follower Databases Heroku-managed read replicas usable as low-impact sync sources. | Poll / NPS Responses is specific to Pendo and Follower Databases to Postgres Heroku — each maps to any object or custom field on the other side. |
How changes propagate between Pendo and Postgres Heroku
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 Postgres Heroku 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 Postgres Heroku as a row-level write, with types converted between the two schemas.
Postgres Heroku Pendo Interval-based propagation
DetectionStacksync polls Postgres Heroku for changes on an incremental schedule, reading only records changed since the previous pass. Trigger-based capture or polling in most configurations.
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.
- Postgres Heroku: No API rate limits; connection counts and performance are bounded by the Heroku Postgres plan.
What ships with Pendo ⇄ Postgres Heroku
Connect Pendo and Postgres Heroku for flexible, real-time data sync.
Real-time sync, workflow automation, event queues, EDI, and monitoring, for every Pendo–Postgres Heroku connection.
No-code + pro-code
Workflow automation
Trigger automated workflows whenever Pendo or Postgres Heroku 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 Postgres Heroku record.
Observability
Monitoring
Track your Pendo ⇄ Postgres Heroku 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 Postgres Heroku.
How the Pendo and Postgres Heroku 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.
Postgres Heroku
- Integration surface
- SQL wire protocol (standard PostgreSQL)
- Authentication
- Database credentials from the Heroku DATABASE_URL config var; SSL required
- Change detection
- Trigger-based capture or polling in most configurations; log-based logical replication availability depends on plan and Heroku's managed server settings
- Capabilities
- read · write
- Rate limits
- No API rate limits; connection counts and performance are bounded by the Heroku Postgres plan
How it works
How to connect Pendo to Postgres Heroku — 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 Pendo and Postgres Heroku with each platform's native method — OAuth, API keys, or service accounts — plus secure options like SSH tunneling, IP whitelisting, and VPC peering.
Pendo
connected
Postgres Heroku
connected
OAuth 2.0SSH tunnelSSL certificateVPC peering - 02
Choose tables
Pick the Pendo and Postgres Heroku 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 · Pendo ⇄ Postgres HerokuCustomers 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.
Pendo Postgres HerokuCompany company_name textEmail email textAmount amount numericCreated created_at timestamp
FAQ
Pendo and Postgres Heroku integration FAQ
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Yes. Stacksync provides a managed, real-time two-way integration between Pendo and Postgres Heroku: authenticate both systems, choose the objects to sync (such as Pendo's Visitors and Accounts), map fields visually, and changes propagate both ways in milliseconds — no code required.
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Pendo: Reads run through the Aggregation API (POST /api/v1/aggregation), a pipeline of a source plus transforms over feature/page/guide events, poll and NPS responses, visitors, and accounts; there is no CDC feed. Postgres Heroku: All connections require SSL, and server-level settings such as replication configuration are controlled by Heroku rather than the user. Stacksync's field mapping accounts for these differences between Pendo and Postgres Heroku 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 Pendo and Postgres Heroku 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 Pendo and Postgres Heroku connectors, real-time two-way sync, monitoring, and support. That replaces building and maintaining a custom Pendo–Postgres Heroku integration in-house.
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Yes — Stacksync ships production-grade connectors for both Pendo and Postgres Heroku. 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 Pendo: 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. On Postgres Heroku: Trigger-based capture or polling in most configurations; log-based logical replication availability depends on plan and Heroku's managed server settings. 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
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 420 integrations available for Pendo and Postgres Heroku.
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