Real-time
Two-way sync
Changes in Pendo or Vertica instantly reflect in both systems. No stale data, no manual imports.
Analytics ⇄ Data warehouse
Pendo to Vertica integration — real-time, two-way sync
Keep Pendo and Vertica 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 Fivetran
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Migrated from Celigo
Why teams connect Pendo and Vertica
Put the same events, users, and metrics on both sides: Pendo and Vertica stay current in real time, in both directions.
Pendo is where teams explore, visualize, and report; Vertica 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 Features / Pages / Guides (metadata), Visitors, Accounts, Feature Events in Pendo with Tables, Projections, Views, Flex Tables in Vertica 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 Vertica, every copy stays consistent.
Common use cases
- 01 Set custom Visitor fields (role, lifecycle stage, entitlement) from the warehouse so in-app guides reach the right users without manual CSV uploads.
- 02 Sync Pendo Visitors and Accounts into a data model to score product-qualified accounts alongside behavioral event data.
- 03 Land ERP transactions in Vertica for finance analytics without maintaining hand-built ETL jobs.
- 04 Push segments or aggregates computed in Vertica back into operational tools such as a CRM.
Common sync patterns
Where Pendo produces segments or scores: results back to the warehouse
Cohorts, segments, and computed metrics defined in Pendo write to Vertica 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 Vertica 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 Pendo and Vertica
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 | Vertica objects | How this pairing syncs | |
|---|---|---|---|
| Page Events Page-view events for tagged pages; read-only via the Aggregation API, used for adoption and path analysis in a warehouse. | Views Logical views used to shape reads for downstream consumers. | Page Events is specific to Pendo and Views to Vertica — 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. | Flex Tables Schema-flexible tables for semi-structured JSON data landed before modeling. | Guide Events is specific to Pendo and Flex Tables to Vertica — 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. | External Tables Data queried in place on files or object storage without loading. | Poll / NPS Responses is specific to Pendo and External Tables to Vertica — 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. | Schemas Namespaces used to organize synced datasets by domain or source. | Features / Pages / Guides (metadata) is specific to Pendo and Schemas to Vertica — each maps to any object or custom field on the other side. | |
| 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. | Tables Columnar tables; the primary read and write targets for syncs. | Visitors is specific to Pendo and Tables to Vertica — 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. | Projections Sorted, encoded physical copies of table data that the optimizer selects at query time; they affect load and query behavior rather than being addressed directly. | Accounts is specific to Pendo and Projections to Vertica — each maps to any object or custom field on the other side. |
How changes propagate between Pendo and Vertica
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 Vertica 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 Vertica as a row-level write, with types converted between the two schemas.
Vertica Pendo Interval-based propagation
DetectionStacksync polls Vertica for changes on an incremental schedule, reading only records changed since the previous pass. No exposed transaction-log CDC.
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.
- Vertica: No API rate limits; throughput is bounded by cluster resources, and bulk COPY is preferred over row-by-row writes.
What ships with Pendo ⇄ Vertica
Connect Pendo and Vertica for flexible, real-time data sync.
Real-time sync, workflow automation, event queues, EDI, and monitoring, for every Pendo–Vertica connection.
No-code + pro-code
Workflow automation
Trigger automated workflows whenever Pendo or Vertica 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 Vertica record.
Observability
Monitoring
Track your Pendo ⇄ Vertica 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 Vertica.
How the Pendo and Vertica 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.
Vertica
- Integration surface
- SQL over JDBC, ODBC, and ADO.NET drivers
- Authentication
- Database credentials, with LDAP, Kerberos, and OAuth options in enterprise deployments
- Change detection
- No exposed transaction-log CDC; polling on timestamp or epoch columns
- Capabilities
- read · write
- Rate limits
- No API rate limits; throughput is bounded by cluster resources, and bulk COPY is preferred over row-by-row writes.
How it works
How to connect Pendo to Vertica — 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 Vertica 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
Vertica
connected
OAuth 2.0SSH tunnelSSL certificateVPC peering - 02
Choose tables
Pick the Pendo and Vertica 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 ⇄ VerticaCustomers 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 VerticaCompany company_name textEmail email textAmount amount numericCreated created_at timestamp
FAQ
Pendo and Vertica integration FAQ
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Yes. Stacksync provides a managed, real-time two-way integration between Pendo and Vertica: authenticate both systems, choose the objects to sync (such as Pendo's Page Events and Guide Events), map fields visually, and changes propagate both ways in milliseconds — no code required.
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Pendo: The only write path is the Metadata API, which sets custom Visitor and Account fields (single Set Value or bulk Set Values); it writes to writable groups such as custom and cannot create events or edit agent-collected fields. Vertica: Eon mode separates compute from communal object storage, letting subclusters scale independently of the data. Stacksync's field mapping accounts for these differences between Pendo and Vertica 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 Vertica 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 Vertica connectors, real-time two-way sync, monitoring, and support. That replaces building and maintaining a custom Pendo–Vertica integration in-house.
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Yes — Stacksync ships production-grade connectors for both Pendo and Vertica. 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 Vertica: No exposed transaction-log CDC; polling on timestamp or epoch columns. 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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