Two-way sync
Changes in Apache Pinot or Pendo instantly reflect in both systems. No stale data, no manual imports.
Keep Apache Pinot 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; Apache Pinot 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 Poll / NPS Responses, Features / Pages / Guides (metadata), Visitors, Accounts in Pendo with Offline Tables, Indexes, Tenants, Tables in Apache Pinot 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 Apache Pinot, every copy stays consistent.
Cohorts, segments, and computed metrics defined in Pendo write to Apache Pinot as tables the rest of the stack can query and join.
Users and accounts tracked in Pendo line up with the customer or user rows in Apache Pinot 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.
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.
| Apache Pinot objects | Pendo objects | How this pairing syncs | |
|---|---|---|---|
| Schemas Column definitions (dimensions, metrics, time columns) mapped during integration setup. | 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. | Schemas is specific to Apache Pinot and Visitors to Pendo — each maps to any object or custom field on the other side. | |
| Segments Immutable data files that batch ingestion uploads and the cluster serves. | 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. | Segments is specific to Apache Pinot and Accounts to Pendo — each maps to any object or custom field on the other side. | |
| Real-time Tables Tables fed continuously from streams like Kafka, including upsert-enabled tables. | 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. | Real-time Tables is specific to Apache Pinot and Feature Events to Pendo — each maps to any object or custom field on the other side. | |
| Offline Tables Batch-loaded tables merged with real-time data at query time. | Page Events Page-view events for tagged pages; read-only via the Aggregation API, used for adoption and path analysis in a warehouse. | Offline Tables is specific to Apache Pinot and Page Events to Pendo — each maps to any object or custom field on the other side. | |
| Indexes Inverted, range, and star-tree indexes that determine which sync queries run at low latency. | Guide Events Guide seen/advanced/dismissed and step events for in-app walkthroughs; read-only through the Aggregation API to measure onboarding flow adoption. | Indexes is specific to Apache Pinot and Guide Events to Pendo — each maps to any object or custom field on the other side. | |
| Tenants Logical groupings that isolate workloads on shared clusters. | Poll / NPS Responses Survey answers and NPS scores captured in-app (pollEvents / npsEvents); read-only via the Aggregation API as voice-of-customer data. | Tenants is specific to Apache Pinot and Poll / NPS Responses 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 Apache Pinot for changes on an incremental schedule, reading only records changed since the previous pass. Data enters Pinot via streaming ingestion or segment upload, not row-level writes.
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 Apache Pinot as a row-level write, with types converted between the two schemas.
Real-time sync, workflow automation, event queues, EDI, and monitoring, for every Apache Pinot–Pendo connection.
Changes in Apache Pinot or Pendo instantly reflect in both systems. No stale data, no manual imports.
Trigger automated workflows whenever Apache Pinot 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 Apache Pinot or Pendo record.
Track your Apache Pinot ⇄ Pendo sync health, view errors, and replay failed events in one click.
Transform legacy EDI complexity into simple database interactions between Apache Pinot 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 Apache Pinot 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 Apache Pinot 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 Apache Pinot and Pendo: authenticate both systems, choose the objects to sync (such as Apache Pinot's Schemas and Segments), map fields visually, and changes propagate both ways in milliseconds — no code required.
Yes — Stacksync ships production-grade connectors for both Apache Pinot and Pendo. The connectors handle authentication, schema detection, rate limits, and retries; you configure the sync, and Stacksync operates it.
Change detection on Apache Pinot: Not applicable for reads out (polling by time column); data enters Pinot via streaming ingestion or segment upload, not row-level writes. 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.
On the Pendo side: Poll / NPS Responses, Features / Pages / Guides (metadata), Visitors, Accounts, plus custom fields where Pendo exposes them. On the Apache Pinot side: Offline Tables, Indexes, Tenants, Tables. 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 Apache Pinot and Pendo: Where Pendo produces segments or scores: results back to the warehouse; Shared user and account keys; Corrections propagate instead of reloading. Cohorts, segments, and computed metrics defined in Pendo write to Apache Pinot as tables the rest of the stack can query and join.
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 409 integrations available for Apache Pinot and Pendo.