Real-time
Two-way sync
Changes in Pendo or TimescaleDB instantly reflect in both systems. No stale data, no manual imports.
Analytics ⇄ Database
Pendo to TimescaleDB integration — real-time, two-way sync
Keep Pendo and TimescaleDB 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 TimescaleDB
Give Pendo the users, events, and records that live in TimescaleDB in real time, and sync the cohorts and scores Pendo computes back into TimescaleDB 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 TimescaleDB 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 Continuous Aggregates, Regular PostgreSQL Tables, Views, Schemas in TimescaleDB 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 TimescaleDB, 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 Sync Pendo Visitors and Accounts into a data model to score product-qualified accounts alongside behavioral event data.
- 02 Load guide-engagement events into a reporting database to measure onboarding-flow adoption against retention and expansion.
- 03 Replicate subscription and billing events from operational Postgres tables into Timescale hypertables for time-series analysis.
- 04 Keep device or asset reference tables bi-directionally in sync between TimescaleDB and an ERP.
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 TimescaleDB 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 TimescaleDB 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 TimescaleDB, 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 TimescaleDB
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 | TimescaleDB objects | How this pairing syncs | |
|---|---|---|---|
| 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. | Chunks Time-bounded partitions of a hypertable; syncs read and write through the parent hypertable and never address chunks directly. | Accounts is specific to Pendo and Chunks to TimescaleDB — 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. | Continuous Aggregates Incrementally maintained rollups that serve as pre-aggregated read sources for downstream systems. | Feature Events is specific to Pendo and Continuous Aggregates to TimescaleDB — 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. | Regular PostgreSQL Tables Relational reference data such as devices, tenants, or accounts synced alongside the series data. | Page Events is specific to Pendo and Regular PostgreSQL Tables to TimescaleDB — 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 Standard SQL views used to shape or filter data for consumers. | Guide Events is specific to Pendo and Views to TimescaleDB — 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. | Schemas Postgres namespaces used to separate synced datasets by team or environment. | Poll / NPS Responses is specific to Pendo and Schemas to TimescaleDB — 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. | Hypertables Time-partitioned tables that hold the main time-series data; the primary read and write target in syncs. | Features / Pages / Guides (metadata) is specific to Pendo and Hypertables to TimescaleDB — each maps to any object or custom field on the other side. |
How changes propagate between Pendo and TimescaleDB
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 TimescaleDB 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 TimescaleDB as a row-level write, with types converted between the two schemas.
TimescaleDB Pendo Sub-second propagation
DetectionChanges in TimescaleDB are captured at the source via change data capture — no polling loop against its API. Log-based capture via PostgreSQL logical decoding where the deployment allows it — hypertable changes surface on the underlying chunk tables and must.
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.
- TimescaleDB: No API rate limits; throughput is bounded by database resources and connection limits.
What ships with Pendo ⇄ TimescaleDB
Connect Pendo and TimescaleDB for flexible, real-time data sync.
Real-time sync, workflow automation, event queues, EDI, and monitoring, for every Pendo–TimescaleDB connection.
No-code + pro-code
Workflow automation
Trigger automated workflows whenever Pendo or TimescaleDB 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 TimescaleDB record.
Observability
Monitoring
Track your Pendo ⇄ TimescaleDB 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 TimescaleDB.
How the Pendo and TimescaleDB 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.
TimescaleDB
- Integration surface
- SQL wire protocol (PostgreSQL)
- Authentication
- Database credentials
- Change detection
- Log-based capture via PostgreSQL logical decoding where the deployment allows it — hypertable changes surface on the underlying chunk tables and must be remapped to the parent — or timestamp-based polling on time columns; regular Postgres tables replicate through standard logical replication
- Capabilities
- read · write · CDC
- Rate limits
- No API rate limits; throughput is bounded by database resources and connection limits.
How it works
How to connect Pendo to TimescaleDB — 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 TimescaleDB 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
TimescaleDB
connected
OAuth 2.0SSH tunnelSSL certificateVPC peering - 02
Choose tables
Pick the Pendo and TimescaleDB 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 ⇄ TimescaleDBCustomers 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 TimescaleDBCompany company_name textEmail email textAmount amount numericCreated created_at timestamp
FAQ
Pendo and TimescaleDB integration FAQ
-
Yes. Stacksync provides a managed, real-time two-way integration between Pendo and TimescaleDB: authenticate both systems, choose the objects to sync (such as Pendo's Accounts and Feature Events), map fields visually, and changes propagate both ways in milliseconds — no code required.
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On the Pendo side: Feature Events, Page Events, Guide Events, Poll / NPS Responses, plus custom fields where Pendo exposes them. On the TimescaleDB side: Continuous Aggregates, Regular PostgreSQL Tables, Views, Schemas. Stacksync auto-detects both schemas and converts types between the two systems.
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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.
-
Common patterns for Pendo and TimescaleDB: Filter and grouping dimensions kept fresh; Where Pendo tracks product events: behavior onto stored records; Where Pendo builds cohorts or scores: results your services can read. Attributes teams slice by, such as plan, region, or account owner, stay current in Pendo because they sync from TimescaleDB as they change, instead of going stale after a one-time import.
-
Pendo: 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. TimescaleDB: SQL wire protocol (PostgreSQL). Authentication: Database credentials. Stacksync manages authentication, retries, and rate limits on both sides.
-
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. TimescaleDB: TimescaleDB is packaged as a PostgreSQL extension, so standard Postgres drivers and SQL tooling work unchanged. Stacksync's field mapping accounts for these differences between Pendo and TimescaleDB without custom code.
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 401 integrations available for Pendo and TimescaleDB.
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