Two-way sync
Changes in IBM Informix or Pendo instantly reflect in both systems. No stale data, no manual imports.
Keep IBM Informix 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.
A database holds the rows your business runs on: the users, events, orders, and records that every service reads and writes. Pendo is where people make sense of them, as dashboards, funnels, cohorts, and metrics. Moving the data from IBM Informix into Pendo usually means a hand-built extract or a change-data-capture pipeline that breaks the moment a column is renamed, and reporting that always trails last night's load.
Stacksync syncs Databases, Tables, Rows, Views in IBM Informix with Accounts, Feature Events, Page Events, Guide Events in Pendo in real time and in both directions. Operational rows flow into Pendo as they change, so dashboards read current data with no pipeline to maintain, and the segments, cohorts, or scores Pendo computes flow back into IBM Informix, where the applications and services that read from it get them at normal query latency. Field-level mapping, schema and type translation, and conflict resolution are handled for you.
The users, events, orders, and records stored in IBM Informix land in Pendo as they change, so dashboards, funnels, and metrics run on current data instead of last night's extract.
A user, account, or record corrected in either system updates the other, so the identity your reports group by matches the identity your database stores.
Attributes teams slice by, such as plan, region, or account owner, stay current in Pendo because they sync from IBM Informix as they change, instead of going stale after a one-time import.
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.
| IBM Informix objects | Pendo objects | How this pairing syncs | |
|---|---|---|---|
| Tables Relational tables mapped directly to sync targets. | Guide Events Guide seen/advanced/dismissed and step events for in-app walkthroughs; read-only through the Aggregation API to measure onboarding flow adoption. | Tables is specific to IBM Informix and Guide Events to Pendo — each maps to any object or custom field on the other side. | |
| Rows The unit of read and write, keyed by primary key. | Poll / NPS Responses Survey answers and NPS scores captured in-app (pollEvents / npsEvents); read-only via the Aggregation API as voice-of-customer data. | Rows is specific to IBM Informix and Poll / NPS Responses to Pendo — each maps to any object or custom field on the other side. | |
| Views Read-only projections used to shape outbound data. | 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. | Views is specific to IBM Informix and Features / Pages / Guides (metadata) to Pendo — each maps to any object or custom field on the other side. | |
| TimeSeries objects Informix's native time-series type, usually exposed to syncs through virtual tables. | 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. | TimeSeries objects is specific to IBM Informix and Visitors to Pendo — each maps to any object or custom field on the other side. | |
| Stored procedures Server-side logic sometimes invoked as part of write paths. | 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. | Stored procedures is specific to IBM Informix and Accounts to Pendo — each maps to any object or custom field on the other side. | |
| Logical logs The transaction log that Informix's CDC interface reads committed changes from. | 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. | Logical logs is specific to IBM Informix and Feature 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.
DetectionChanges in IBM Informix are captured at the source via change data capture — no polling loop against its API. Informix's Change Data Capture API reading committed changes from logical logs.
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 IBM Informix as a row-level write, with types converted between the two schemas.
Real-time sync, workflow automation, event queues, EDI, and monitoring, for every IBM Informix–Pendo connection.
Changes in IBM Informix or Pendo instantly reflect in both systems. No stale data, no manual imports.
Trigger automated workflows whenever IBM Informix 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 IBM Informix or Pendo record.
Track your IBM Informix ⇄ Pendo sync health, view errors, and replay failed events in one click.
Transform legacy EDI complexity into simple database interactions between IBM Informix 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 IBM Informix 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 IBM Informix 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 IBM Informix and Pendo: authenticate both systems, choose the objects to sync (such as IBM Informix's Tables and Rows), map fields visually, and changes propagate both ways in milliseconds — no code required.
On the Pendo side: Accounts, Feature Events, Page Events, Guide Events, plus custom fields where Pendo exposes them. On the IBM Informix side: Databases, Tables, Rows, 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 IBM Informix and Pendo: Analytics on live operational data, minus the pipeline; One version of each user or account; Filter and grouping dimensions kept fresh. The users, events, orders, and records stored in IBM Informix land in Pendo as they change, so dashboards, funnels, and metrics run on current data instead of last night's extract.
IBM Informix: SQL over JDBC/ODBC drivers; DRDA connectivity is also supported. Authentication: Database credentials. 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. IBM Informix: Informix ships a Change Data Capture API that streams committed row changes from its logical logs, so log-based replication does not require triggers. Stacksync's field mapping accounts for these differences between IBM Informix 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 428 integrations available for IBM Informix and Pendo.