Two-way sync
Changes in Dremio or Pendo instantly reflect in both systems. No stale data, no manual imports.
Keep Dremio 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; Dremio 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 Jobs, Sources, Physical datasets, Virtual datasets (views) in Dremio 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 Dremio, every copy stays consistent.
Users and accounts tracked in Pendo line up with the customer or user rows in Dremio 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 Dremio 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.
| Dremio objects | Pendo objects | How this pairing syncs | |
|---|---|---|---|
| Apache Iceberg tables Lakehouse tables supporting DML and snapshot metadata usable for incremental reads. | Poll / NPS Responses Survey answers and NPS scores captured in-app (pollEvents / npsEvents); read-only via the Aggregation API as voice-of-customer data. | Apache Iceberg tables is specific to Dremio and Poll / NPS Responses to Pendo — each maps to any object or custom field on the other side. | |
| Spaces and folders Namespaces that organize virtual datasets and govern access. | 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. | Spaces and folders is specific to Dremio and Features / Pages / Guides (metadata) to Pendo — each maps to any object or custom field on the other side. | |
| Reflections Materialized accelerations that make repeated extraction queries cheaper. | 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. | Reflections is specific to Dremio and Visitors to Pendo — each maps to any object or custom field on the other side. | |
| Jobs Query execution records useful for monitoring sync workloads. | 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. | Jobs is specific to Dremio and Accounts to Pendo — each maps to any object or custom field on the other side. | |
| Sources Connected storage and database systems (S3, ADLS, relational databases) Dremio queries in place. | 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. | Sources is specific to Dremio and Feature Events to Pendo — each maps to any object or custom field on the other side. | |
| Physical datasets Tables and files promoted from sources; the raw data a sync ultimately reads. | Page Events Page-view events for tagged pages; read-only via the Aggregation API, used for adoption and path analysis in a warehouse. | Physical datasets is specific to Dremio and Page Events 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 Dremio for changes on an incremental schedule, reading only records changed since the previous pass. Polling via SQL.
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 Dremio as a row-level write, with types converted between the two schemas.
Real-time sync, workflow automation, event queues, EDI, and monitoring, for every Dremio–Pendo connection.
Changes in Dremio or Pendo instantly reflect in both systems. No stale data, no manual imports.
Trigger automated workflows whenever Dremio 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 Dremio or Pendo record.
Track your Dremio ⇄ Pendo sync health, view errors, and replay failed events in one click.
Transform legacy EDI complexity into simple database interactions between Dremio 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 Dremio 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 Dremio 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 Dremio and Pendo: authenticate both systems, choose the objects to sync (such as Dremio's Apache Iceberg tables and Spaces and folders), map fields visually, and changes propagate both ways in milliseconds — no code required.
On the Pendo side: Features / Pages / Guides (metadata), Visitors, Accounts, Feature Events, plus custom fields where Pendo exposes them. On the Dremio side: Jobs, Sources, Physical datasets, Virtual datasets (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.
Common patterns for Dremio 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 Dremio on a stable key, so both sides count the same population.
Dremio: Arrow Flight SQL, JDBC/ODBC, and a REST API. Authentication: Personal access tokens or username/password; OAuth-based SSO on Dremio Cloud. 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: Pendo has no data-change webhooks; syncs poll the Aggregation API over event-time windows, and heavy queries can return 429, so wide backfills are paced and time-windowed. Dremio: DML (INSERT, UPDATE, DELETE) is supported on Apache Iceberg tables, making Dremio a writable target, not just a query layer. Stacksync's field mapping accounts for these differences between Dremio 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.
Securely connects to your systems with:
Every pair below is a real-time, two-way sync. Search all 406 integrations available for Dremio and Pendo.