Panda Video + Redshift

Panda Video is a Brazilian video hosting and streaming platform built for content creators, digital course creators, and e-learning companies. With a focus on performance, security, and analytics, Panda Video offers features like a customizable player, anti-download protection, custom domains, engagement reports, and integrations with online course platforms. It is widely used by course creators, digital academies, and corporate training teams that need a professional solution for video distribution.

With Erathos, you can integrate Panda Video data into Redshift in just a few minutes. Our platform handles the entire data movement process into your data warehouse on AWS and lets you combine that data with other sources. That way, your time is spent on what really creates value — extracting insights and making data-driven decisions.

Which Panda Video data does Erathos sync to Redshift?

The integration automatically syncs the main Panda Video objects:

  • Campaigns — name, status, channel, start and end dates

  • Leads and contacts — source, stage, and engagement data

  • Performance metrics — impressions, clicks, conversions, and cost per result

  • Lists and segments — composition and segmentation criteria

  • Automations — flows, triggers, and conversion rates

  • Users — profiles, preferences, and interaction history

Why sync Panda Video with Redshift?

In Redshift, you connect this data to the AWS ecosystem — QuickSight for visualizations, SageMaker for ML, and S3 as staging. Columnar storage optimized for analytical queries at petabyte scale with predictable billing. Ideal for teams already operating on AWS.

How it works

Erathos connects to Panda Video via the official API and syncs your data incrementally — only new or updated records are processed in each run. You choose the sync frequency (from every 5 minutes to daily), which objects to sync, and the destination in Redshift. The sync uses incremental processing that handles only new or updated records — keeping Redshift costs predictable. You choose the sync frequency, the objects to sync, and the target schema. Each run is logged with full observability: runtime, processed rows, and alerts via Slack or email.

No credit card required.

Why do data teams choose Erathos for Panda Video?

Panda Video data in Redshift in minutes

Panda Video data in Redshift in minutes

Panda Video connector ready to use

Connect Panda Video to Redshift and automatically export data. Centralize marketing data for analysis — no spreadsheets, no scripts.

Full control over your Panda Video pipelines

Set the schedule, frequency, and sync type at the table level. Set the frequency and sync type per table. Incremental sync for Redshift — only new records are processed in each run, without reprocessing everything from scratch and with predictable AWS costs.

End-to-end observability

Stop finding out about Panda Video failures only when the business team complains. Every run is logged with run time, processed rows, and error context. Automatic alerts via Slack, Discord, or email as soon as something deviates from expectations — so your analytics always stay fresh.

No credit card required

No credit card required

Why companies move data from Panda Video to Redshift with Erathos

Centralizing Panda Video data in Redshift has never been easier

Erathos is a data ingestion platform built for operations and data teams. With the Panda Video connector, you automatically centralize operational data and metrics in Redshift — always up-to-date data, full observability into every run, and zero maintenance.

Our Customers

Writing data-driven stories

Writing data-driven stories

"Erathos has revolutionized the way WePayments approaches data management. With its ability to integrate data from multiple SaaS into a single data warehouse, our technical team can now focus more effectively on the company's core business. With Erathos, we’ve been able to implement dashboards that provide insights across all areas of the company. This has not only enriched our organizational culture but also significantly improved our decision-making process."

Matheus Gobato Nunes

CTO & co-founder @WePayments

"Erathos has revolutionized the way WePayments approaches data management. With its ability to integrate data from multiple SaaS into a single data warehouse, our technical team can now focus more effectively on the company's core business. With Erathos, we’ve been able to implement dashboards that provide insights across all areas of the company. This has not only enriched our organizational culture but also significantly improved our decision-making process."

Matheus Gobato Nunes

CTO & co-founder @WePayments

Trusted by data-driven companies

Simplified data ingestion

Move your data in minutes

Move your data in minutes

1

Select your data source

More than 80 plug-and-play connectors to consolidate data from multiple sources, eliminate time-consuming manual processes, and create a streamlined path forward.

2

Setup your pipeline

Manage your pipeline seemlessly. Select a sync hour, frequency and type at a table/endpoint level.

3

Select your data warehouse

Choose between Amazon S3, BigQuery, Databricks, Redshift and PosgreSQL to centrlize your data

FAQ

Frequently Asked Questions

Frequently Asked Questions

What is Erathos, and how can it help my business?

Erathos is a data ingestion platform built for reliability, transparency, and control. We help data teams connect tools like Panda Video to their data warehouse — with full observability into every run, zero maintenance, and none of the black-box behavior of traditional tools on the market.

What data from Panda Video does Erathos sync to Redshift?

Erathos syncs views, engagement, videos, players, users, and performance metrics data from Panda Video to your Data Warehouse, incrementally and with no code.

How often does Erathos sync data from Panda Video to Redshift?

You can configure sync frequency from every 5 minutes up to daily, at the table level. Erathos uses incremental sync — only new or updated records are processed in each run, keeping the Panda Video data pipeline efficient and Redshift costs predictable.

What happens if a Panda Video synchronization fails?

Erathos automatically detects failures and sends alerts to your email, Slack, or Discord with full context — not just “job failed.” Smart retries handle transient errors, and every run is logged with runtime, rows processed, and error context so your team can debug in minutes, not hours.

Is there a free trial period for the Panda Video connector?

Yes. Every Erathos connector includes a 14-day free trial. Connect Panda Video to Redshift and start syncing right away — no credit card required.

Data ingestion with control, observability, and scale

Data ingestion with control, observability, and scale