Real-time
Two-way sync
Changes in Elasticsearch or Pendo instantly reflect in both systems. No stale data, no manual imports.
Database ⇄ Analytics
Elasticsearch to Pendo integration — real-time, two-way sync
Keep Elasticsearch 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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Why teams connect Elasticsearch and Pendo
Give Pendo the users, events, and records that live in Elasticsearch in real time, and sync the cohorts and scores Pendo computes back into Elasticsearch where your applications read them.
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 Elasticsearch 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 Index templates, Indices, Documents, Index mappings in Elasticsearch with Feature Events, Page Events, Guide Events, Poll / NPS Responses 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 Elasticsearch, 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.
Common use cases
- 01 Pull NPS scores and poll responses into a database so voice-of-customer sits next to revenue, renewal, and churn signals for analysis.
- 02 Push warehouse-computed Account attributes (plan, ARR, renewal date, health score, CSM owner) onto Pendo Accounts via the Metadata API so segments and guide targeting stay current.
- 03 Sync CRM accounts and contacts into an Elasticsearch index to power internal search across customer records.
- 04 Push product catalog data from an ERP or commerce database into Elasticsearch for storefront search.
Common sync patterns
Filter and grouping dimensions kept fresh
Attributes teams slice by, such as plan, region, or account owner, stay current in Pendo because they sync from Elasticsearch as they change, instead of going stale after a one-time import.
Where Pendo tracks product events: behavior onto stored records
Signup, usage, and lifecycle events captured in Pendo sync into Elasticsearch as rows, so applications and internal tools can read behavioral data next to the records they already keep.
Where Pendo builds cohorts or scores: results your services can read
Segments, cohorts, or scores computed in Pendo sync back into Elasticsearch, where the services that read from the database act on them at query speed without calling the analytics API.
What you can sync between Elasticsearch 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.
| Elasticsearch objects | Pendo objects | How this pairing syncs | |
|---|---|---|---|
| Ingest pipelines Server-side transforms applied to documents as a sync writes them. | 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. | Ingest pipelines is specific to Elasticsearch and Feature Events to Pendo — each maps to any object or custom field on the other side. | |
| Index templates Reusable settings and mappings applied automatically to new indices a sync creates. | Page Events Page-view events for tagged pages; read-only via the Aggregation API, used for adoption and path analysis in a warehouse. | Index templates is specific to Elasticsearch and Page Events to Pendo — each maps to any object or custom field on the other side. | |
| Indices Target containers for synced records; each holds a table-like collection of JSON documents. | Guide Events Guide seen/advanced/dismissed and step events for in-app walkthroughs; read-only through the Aggregation API to measure onboarding flow adoption. | Indices is specific to Elasticsearch and Guide Events to Pendo — each maps to any object or custom field on the other side. | |
| Documents The unit of sync; JSON records created, updated, and deleted by _id. | Poll / NPS Responses Survey answers and NPS scores captured in-app (pollEvents / npsEvents); read-only via the Aggregation API as voice-of-customer data. | Documents is specific to Elasticsearch and Poll / NPS Responses to Pendo — each maps to any object or custom field on the other side. | |
| Index mappings Field type definitions that determine how synced fields are indexed and queried. | 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. | Index mappings is specific to Elasticsearch and Features / Pages / Guides (metadata) to Pendo — each maps to any object or custom field on the other side. | |
| Aliases Stable read/write names that let a sync cut over between index versions without downtime. | 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. | Aliases is specific to Elasticsearch and Visitors to Pendo — each maps to any object or custom field on the other side. |
How changes propagate between Elasticsearch 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.
Elasticsearch Pendo Interval-based propagation
DetectionStacksync polls Elasticsearch for changes on an incremental schedule, reading only records changed since the previous pass. Polling on timestamp or sequence fields.
DeliveryEach detected change is written to Pendo through its API, with automatic retries and rate-limit backoff.
Pendo Elasticsearch 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 written to Elasticsearch through its API, with automatic retries and rate-limit backoff.
Rate-limit considerations
- Elasticsearch: No fixed request quota; throughput is bounded by cluster sizing, thread pools, and bulk queue capacity.
- 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 Elasticsearch ⇄ Pendo
Connect Elasticsearch and Pendo for flexible, real-time data sync.
Real-time sync, workflow automation, event queues, EDI, and monitoring, for every Elasticsearch–Pendo connection.
No-code + pro-code
Workflow automation
Trigger automated workflows whenever Elasticsearch 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 Elasticsearch or Pendo record.
Observability
Monitoring
Track your Elasticsearch ⇄ Pendo sync health, view errors, and replay failed events in one click.
Trading partners
EDI
Transform legacy EDI complexity into simple database interactions between Elasticsearch and Pendo.
How the Elasticsearch and Pendo connectors work
Elasticsearch
- Integration surface
- REST API (JSON over HTTP)
- Authentication
- API keys or basic authentication; Elastic Cloud also issues service account tokens
- Change detection
- Polling on timestamp or sequence fields; Elasticsearch does not expose a native change feed or webhooks
- Capabilities
- read · write
- Rate limits
- No fixed request quota; throughput is bounded by cluster sizing, thread pools, and bulk queue capacity
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 Elasticsearch 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 Elasticsearch 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.
Elasticsearch
connected
Pendo
connected
OAuth 2.0SSH tunnelSSL certificateVPC peering - 02
Choose tables
Pick the Elasticsearch 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 · Elasticsearch ⇄ 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.
Elasticsearch PendoCompany company_name textEmail email textAmount amount numericCreated created_at timestamp
FAQ
Elasticsearch and Pendo integration FAQ
-
Yes. Stacksync provides a managed, real-time two-way integration between Elasticsearch and Pendo: authenticate both systems, choose the objects to sync (such as Elasticsearch's Ingest pipelines and Index templates), map fields visually, and changes propagate both ways in milliseconds — no code required.
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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.
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Common patterns for Elasticsearch and Pendo: Filter and grouping dimensions kept fresh; Where Pendo tracks product events: behavior onto stored records; Where Pendo builds cohorts or scores: results your services can read. Attributes teams slice by, such as plan, region, or account owner, stay current in Pendo because they sync from Elasticsearch as they change, instead of going stale after a one-time import.
-
Elasticsearch: REST API (JSON over HTTP). Authentication: API keys or basic authentication; Elastic Cloud also issues service account tokens. 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.
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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. Elasticsearch: Writes are addressed by document _id, so upserts map directly onto the index API, and the _bulk endpoint batches many operations in a single request. Stacksync's field mapping accounts for these differences between Elasticsearch 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 Elasticsearch and Pendo records are not retained after a sync operation.
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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