Two-way sync
Changes in Airtable or Pendo instantly reflect in both systems. No stale data, no manual imports.
Keep Airtable 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.
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 Airtable 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 Tables, Records, Fields, Views in Airtable with Visitors, Accounts, Feature Events, Page Events 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 Airtable, 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.
Attributes teams slice by, such as plan, region, or account owner, stay current in Pendo because they sync from Airtable as they change, instead of going stale after a one-time import.
Signup, usage, and lifecycle events captured in Pendo sync into Airtable as rows, so applications and internal tools can read behavioral data next to the records they already keep.
Segments, cohorts, or scores computed in Pendo sync back into Airtable, where the services that read from the database act on them at query speed without calling the analytics API.
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.
| Airtable objects | Pendo objects | How this pairing syncs | |
|---|---|---|---|
| Records The row-level unit created, updated, and deleted during syncs, identified by rec-prefixed IDs. | 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. | Records is specific to Airtable and Feature Events to Pendo — each maps to any object or custom field on the other side. | |
| Fields Typed columns including linked records, lookups, and rollups; computed fields are read-only in syncs. | Page Events Page-view events for tagged pages; read-only via the Aggregation API, used for adoption and path analysis in a warehouse. | Fields is specific to Airtable and Page Events to Pendo — each maps to any object or custom field on the other side. | |
| Views Filtered subsets of a table that can scope which records a sync reads. | 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 is specific to Airtable and Guide Events to Pendo — each maps to any object or custom field on the other side. | |
| Linked records Cross-table references that carry relationships between synced tables. | Poll / NPS Responses Survey answers and NPS scores captured in-app (pollEvents / npsEvents); read-only via the Aggregation API as voice-of-customer data. | Linked records is specific to Airtable and Poll / NPS Responses to Pendo — each maps to any object or custom field on the other side. | |
| Attachments File fields exposed as expiring URLs that syncs can mirror to other systems. | 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. | Attachments is specific to Airtable and Features / Pages / Guides (metadata) to Pendo — each maps to any object or custom field on the other side. | |
| Collaborators User fields useful for mapping record ownership to accounts in a CRM or database. | 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. | Collaborators is specific to Airtable and Visitors to Pendo — 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.
DetectionAirtable pushes changes as they happen — webhook events backed by change data capture. Incremental updates: changes in Airtable are detected and synced efficiently in realtime (webhook-based — creator role required to create webhooks).
DeliveryEach detected change is written to Pendo through its API, with automatic retries and rate-limit backoff.
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 Airtable through its API, with automatic retries and rate-limit backoff.
Real-time sync, workflow automation, event queues, EDI, and monitoring, for every Airtable–Pendo connection.
Changes in Airtable or Pendo instantly reflect in both systems. No stale data, no manual imports.
Trigger automated workflows whenever Airtable or Pendo data changes, update records, fire webhooks, or kick off sequences without brittle API scripts.
Handle millions of events per minute without losing a single Airtable or Pendo record.
Track your Airtable ⇄ Pendo sync health, view errors, and replay failed events in one click.
Transform legacy EDI complexity into simple database interactions between Airtable and Pendo.
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 Airtable 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.
Pick the Airtable 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.
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 Airtable and Pendo: authenticate both systems, choose the objects to sync (such as Airtable's Records and Fields), map fields visually, and changes propagate both ways in milliseconds — no code required.
Stacksync pricing is usage-based and starts at $1,000/month, including the managed Airtable and Pendo connectors, real-time two-way sync, monitoring, and support. That replaces building and maintaining a custom Airtable–Pendo integration in-house.
Yes — Stacksync ships production-grade connectors for both Airtable and Pendo. The connectors handle authentication, schema detection, rate limits, and retries; you configure the sync, and Stacksync operates it.
Change detection on Airtable: Incremental updates: changes in Airtable are detected and synced efficiently in realtime (webhook-based — creator role required to create webhooks); formula fields don't emit change events and are re-synced every hour. 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. Each detected change propagates to the other side in milliseconds, with field-level conflict resolution and an inspectable event log.
On the Pendo side: Visitors, Accounts, Feature Events, Page Events, plus custom fields where Pendo exposes them. On the Airtable side: Tables, Records, Fields, Views. Stacksync auto-detects both schemas and converts types between the two systems.
Yes. Each object mapping can be bidirectional or restricted to a single direction (both systems accept writes). Read-only mirrors, one-way pushes, and full two-way sync can be mixed in the same integration.
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 513 integrations available for Airtable and Pendo.