Two-way sync
Changes in Amazon Redshift or Pendo instantly reflect in both systems. No stale data, no manual imports.
Keep Amazon Redshift 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.
Pendo is where teams explore, visualize, and report; Amazon Redshift is the store of record that holds the raw tables and full history behind those views. The two overlap wherever the same events, users, and metrics matter to both, and when the bridge between them is a nightly export or a hand-built extract, dashboards lag the warehouse and analysts spend the morning arguing over whose number is right.
Stacksync syncs Feature Events, Page Events, Guide Events, Poll / NPS Responses in Pendo with Tables, Views, Materialized Views, External Tables (Spectrum) in Amazon Redshift field by field, in real time, and in both directions. You decide which system owns which fields, and Stacksync resolves conflicts by rules you set. Whether the flow is warehouse tables feeding live reports or captured events and segments landing back in Amazon Redshift, every copy stays consistent.
Users and accounts tracked in Pendo line up with the customer or user rows in Amazon Redshift on a stable key, so both sides count the same population.
When a record is fixed or backfilled on one side, the change reaches the other without a full reload, keeping history consistent across both.
Metrics and aggregates stay aligned between the two systems, so a figure shown in Pendo matches the Amazon Redshift table it was built from instead of drifting between refreshes.
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.
| Amazon Redshift objects | Pendo objects | How this pairing syncs | |
|---|---|---|---|
| Tables Columnar tables used as sync destinations for SaaS and database data. | Page Events Page-view events for tagged pages; read-only via the Aggregation API, used for adoption and path analysis in a warehouse. | Tables is specific to Amazon Redshift and Page Events to Pendo — each maps to any object or custom field on the other side. | |
| Views SQL views readable as modeled sources for reverse syncs. | 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 Amazon Redshift and Guide Events to Pendo — each maps to any object or custom field on the other side. | |
| Materialized Views Precomputed results that downstream syncs can read for performance. | 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 is specific to Amazon Redshift and Poll / NPS Responses to Pendo — each maps to any object or custom field on the other side. | |
| External Tables (Spectrum) S3-backed tables queryable through Redshift, readable in syncs. | 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. | External Tables (Spectrum) is specific to Amazon Redshift and Features / Pages / Guides (metadata) to Pendo — each maps to any object or custom field on the other side. | |
| Stored Procedures SQL procedures sometimes invoked around load steps. | 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. | Stored Procedures is specific to Amazon Redshift and Visitors to Pendo — each maps to any object or custom field on the other side. | |
| Users and Groups Principals used to grant a sync connection scoped access. | 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 and Groups is specific to Amazon Redshift and Accounts 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.
DetectionStacksync polls Amazon Redshift for changes on an incremental schedule, reading only records changed since the previous pass. Polling or query-based diffing.
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 applied to Amazon Redshift as a row-level write, with types converted between the two schemas.
Real-time sync, workflow automation, event queues, EDI, and monitoring, for every Amazon Redshift–Pendo connection.
Changes in Amazon Redshift or Pendo instantly reflect in both systems. No stale data, no manual imports.
Trigger automated workflows whenever Amazon Redshift 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 Amazon Redshift or Pendo record.
Track your Amazon Redshift ⇄ Pendo sync health, view errors, and replay failed events in one click.
Transform legacy EDI complexity into simple database interactions between Amazon Redshift 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 Amazon Redshift 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 Amazon Redshift 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 Amazon Redshift and Pendo: authenticate both systems, choose the objects to sync (such as Amazon Redshift's Tables and Views), map fields visually, and changes propagate both ways in milliseconds — no code required.
On the Pendo side: Feature Events, Page Events, Guide Events, Poll / NPS Responses, plus custom fields where Pendo exposes them. On the Amazon Redshift side: Tables, Views, Materialized Views, External Tables (Spectrum). 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.
Common patterns for Amazon Redshift and Pendo: Shared user and account keys; Corrections propagate instead of reloading; One number both sides agree on. Users and accounts tracked in Pendo line up with the customer or user rows in Amazon Redshift on a stable key, so both sides count the same population.
Amazon Redshift: SQL over JDBC/ODBC (PostgreSQL-derived protocol); Redshift Data API over HTTPS. Authentication: Database credentials or IAM-based authentication. 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. 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. Amazon Redshift: Redshift Spectrum lets queries span external tables on S3, so a sync can read data that never gets loaded into cluster storage. Stacksync's field mapping accounts for these differences between Amazon Redshift and Pendo without custom code.
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.
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Every pair below is a real-time, two-way sync. Search all 514 integrations available for Amazon Redshift and Pendo.