Stream data from Pendo to Dremio
Move data from Pendo to Dremio in minutes using Estuary. Stream, batch, or continuously sync data with control over latency from sub-second to batch.
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- 200+Connectors
- 5500+Active users
- <100msEnd-to-end latency
- 7+GB/secSingle dataflow
How to integrate Pendo with Dremio in 3 simple steps
- 1
Connect Pendo as your data source
Set up a source connector for Pendo in minutes. Estuary supports streaming (including CDC where available) and batch data capture through events, incremental syncs, or snapshots — without custom pipelines, agents, or manual configuration.
- 2
Configure Dremio as your destination connector
Estuary supports intelligent schema handling, with schema inference and evolution tools that help align source and destination structures over time. It supports both batch and streaming data movement, reliably delivering data to Dremio.
- 3
Deploy and Monitor Your End-to-End Data Pipeline
Launch your pipeline and monitor it from a single UI. Estuary guarantees exactly-once delivery, handles backfills and replays, and scales with your data — without engineering overhead.

Pendo connector details
The Pendo capture connector in Estuary captures product, account, visitor, guide, and event data from Pendo through its API and loads each selected resource into a separate Estuary collection. This makes Pendo data available for downstream analytics, warehousing, and product intelligence workflows.
- API-based data capture from Pendo
- Supports account and visitor data
- Captures product metadata, including features, pages, guides, reports, segments, and track types
- Captures behavioral event data, including page events, feature events, track events, guide events, and poll events
- Separate Estuary collections for each selected Pendo resource
- Configurable replication start date to control how far back data is captured
- Regional Pendo host support for US, US1, EU, Japan, and Australia environments
- Pendo API key authentication
By default, the replication start date is set to one hour before the current time, though you can configure an earlier date when historical data is required. The connector requires a Pendo account with the integration feature enabled and a valid Pendo API key.

Dremio connector details
- Merge-based materializations to sync only what's changed
- Low-latency delivery from streaming and batch sources
- Automatic schema alignment so your destination matches your pipeline's evolving data
- Flexible deployment models, including BYOC and hybrid for enterprise governance
- Unified streaming + batch outputs in a single tool
- End-to-end security and compliance for sensitive data workloads
Estuary in action
See how to build end-to-end pipelines using no-code connectors in minutes. Estuary does the rest.
Spend 2-5x less
Estuary customers not only do 4x more. They also spend 2-5x less on ETL and ELT. Estuary's unique ability to mix and match streaming and batch loading has also helped customers save as much as 40% on data warehouse compute costs.

Pendo to Dremio pricing estimate
Estimated monthly cost to move 800 GB from Pendo to Dremio is approximately $1,000.
Data moved
Choose how much data you want to move from Pendo to Dremio each month.
GB
Choose number of sources and destinations.
Why pay more?
Move the same data for a fraction of the cost.



What customers are saying
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Frequently Asked Questions
Is this integration suitable for production workloads?
Yes. Estuary pipelines are designed for production use, with exactly-once delivery semantics, automated backfills, and continuous operation at scale.
Can I control where my data runs and is processed?
Yes. Estuary offers multiple deployment options, including fully managed SaaS, private deployments, and bring-your-own-cloud (BYOC). This allows teams to control where their data plane runs and meet security, compliance, and networking requirements. Learn more about Estuary's security and deployment options.
Can I build this Pendo to Dremio integration manually?
Yes, it's possible to build a manual pipeline using custom scripts, scheduled jobs, or open-source tools. However, manual approaches typically require ongoing maintenance, custom error handling, schema management, and operational overhead. Estuary simplifies this by providing a managed pipeline with built-in reliability, scaling, and monitoring.
DataOps made simple
Add advanced capabilities like schema inference and evolution with a few clicks. Or automate your data pipeline and integrate into your existing DataOps using Estuary's rich CLI.
































