Real-time
Two-way sync
Changes in Materialize or Pendo instantly reflect in both systems. No stale data, no manual imports.
Data warehouse ⇄ Analytics
Materialize to Pendo integration — real-time, two-way sync
Keep Materialize 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.
- SOC 2 and 6 other compliance frameworks
- POC with real engineers in minutes
Adopted by fast-scaling companies moving mission-critical data in real time
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Migrated from MuleSoft
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Migrated from Fivetran
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Migrated from Celigo
Why teams connect Materialize and Pendo
Put the same events, users, and metrics on both sides: Pendo and Materialize stay current in real time, in both directions.
Pendo is where teams explore, visualize, and report; Materialize 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 Page Events, Guide Events, Poll / NPS Responses, Features / Pages / Guides (metadata) in Pendo with Sinks, Indexes, Clusters, Connections & Secrets in Materialize 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 Materialize, every copy stays consistent.
Common use cases
- 01 Load guide-engagement events into a reporting database to measure onboarding-flow adoption against retention and expansion.
- 02 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.
- 03 Read computed view results back into a CRM or application database as derived fields.
- 04 Drive alerting and operational tooling from SUBSCRIBE change streams instead of scheduled queries.
Common sync patterns
Where Pendo produces segments or scores: results back to the warehouse
Cohorts, segments, and computed metrics defined in Pendo write to Materialize as tables the rest of the stack can query and join.
Shared user and account keys
Users and accounts tracked in Pendo line up with the customer or user rows in Materialize on a stable key, so both sides count the same population.
Corrections propagate instead of reloading
When a record is fixed or backfilled on one side, the change reaches the other without a full reload, keeping history consistent across both.
What you can sync between Materialize and Pendo
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.
| Materialize objects | Pendo objects | How this pairing syncs | |
|---|---|---|---|
| Materialized Views Incrementally maintained query results that syncs read as continuously up-to-date datasets. | 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 is specific to Materialize and Visitors to Pendo — each maps to any object or custom field on the other side. | |
| Sinks Outbound connections that emit view changes to Kafka topics. | 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. | Sinks is specific to Materialize and Accounts to Pendo — each maps to any object or custom field on the other side. | |
| Indexes In-memory arrangements that make view reads fast for serving workloads. | 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. | Indexes is specific to Materialize and Feature Events to Pendo — each maps to any object or custom field on the other side. | |
| Clusters Compute pools that isolate ingestion, view maintenance, and serving. | Page Events Page-view events for tagged pages; read-only via the Aggregation API, used for adoption and path analysis in a warehouse. | Clusters is specific to Materialize and Page Events to Pendo — each maps to any object or custom field on the other side. | |
| Connections & Secrets Stored credentials and endpoints used by sources and sinks. | Guide Events Guide seen/advanced/dismissed and step events for in-app walkthroughs; read-only through the Aggregation API to measure onboarding flow adoption. | Connections & Secrets is specific to Materialize and Guide Events to Pendo — each maps to any object or custom field on the other side. | |
| Schemas & Databases Namespaces that organize objects a sync targets. | 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 & Databases is specific to Materialize and Poll / NPS Responses to Pendo — each maps to any object or custom field on the other side. |
How changes propagate between Materialize and Pendo
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.
Materialize Pendo Sub-second propagation
DetectionChanges in Materialize are captured at the source via change data capture — no polling loop against its API. SUBSCRIBE queries stream row-level changes of any view or table to the client.
DeliveryEach detected change is written to Pendo through its API, with automatic retries and rate-limit backoff.
Pendo Materialize 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 Materialize as a row-level write, with types converted between the two schemas.
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.
What ships with Materialize ⇄ Pendo
Connect Materialize and Pendo for flexible, real-time data sync.
Real-time sync, workflow automation, event queues, EDI, and monitoring, for every Materialize–Pendo connection.
No-code + pro-code
Workflow automation
Trigger automated workflows whenever Materialize or Pendo 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 Materialize or Pendo record.
Observability
Monitoring
Track your Materialize ⇄ Pendo sync health, view errors, and replay failed events in one click.
Trading partners
EDI
Transform legacy EDI complexity into simple database interactions between Materialize and Pendo.
How the Materialize and Pendo connectors work
Materialize
- Integration surface
- PostgreSQL wire protocol (SQL)
- Authentication
- Database credentials (username/password; app passwords in the managed cloud service)
- Change detection
- SUBSCRIBE queries stream row-level changes of any view or table to the client
- Capabilities
- read · write · CDC
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.
How it works
How to connect Materialize to Pendo — 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 Materialize 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.
Materialize
connected
Pendo
connected
OAuth 2.0SSH tunnelSSL certificateVPC peering - 02
Choose tables
Pick the Materialize 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.
objects · Materialize ⇄ PendoCustomers 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.
Materialize PendoCompany company_name textEmail email textAmount amount numericCreated created_at timestamp
FAQ
Materialize and Pendo integration FAQ
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Yes. Stacksync provides a managed, real-time two-way integration between Materialize and Pendo: authenticate both systems, choose the objects to sync (such as Materialize's Materialized Views and Sinks), map fields visually, and changes propagate both ways in milliseconds — no code required.
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Pendo: US data lives on app.pendo.io and EU data on app.eu.pendo.io; the API base path is /api/v1/ and an integration key is tied to a single subscription and region. Materialize: It ingests CDC from Postgres and MySQL and streams from Kafka as first-class sources. Stacksync's field mapping accounts for these differences between Materialize and Pendo 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 Materialize and Pendo 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 Materialize and Pendo connectors, real-time two-way sync, monitoring, and support. That replaces building and maintaining a custom Materialize–Pendo integration in-house.
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Yes — Stacksync ships production-grade connectors for both Materialize and Pendo. 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 Materialize: SUBSCRIBE queries stream row-level changes of any view or table to the client. 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.
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
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