Panda VideoAzure SQL Server

Panda Video + Azure SQL Server

Panda Video is a Brazilian video hosting and streaming platform designed for content creators, info-product creators, and e-learning companies. With a focus on performance, security, and analytics, Panda Video offers features such as 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 who need a professional solution for video distribution.

With Erathos, Panda Video data is loaded into Azure SQL Server already normalized in relational tables, ready to power Power BI dashboards or internal applications running on the Microsoft ecosystem.

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WePayments
Brick
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Simplified extraction and ingestion

Move data in a few clicks

1

Connect your source

Authenticate your account and you're done. 100+ ready-made connectors, no code required.

2

Configure the sync

Pick the tables, the schedule and the update type: batch, cursor-based incremental or CDC.

3

Choose your destination

Load into BigQuery, Redshift, Databricks, PostgreSQL, ClickHouse, Amazon S3 and more.

What Panda Video data does Erathos sync with Amazon S3?

The integration automatically syncs key objects from Panda Video:

  • Campaigns: name, status, channel, start and end dates
  • Leads and contacts: lead source, stage, and engagement data
  • Performance metrics: impressions, clicks, conversions, and cost per result
  • Lists and segments: composition and segmentation criteria
  • Automations: workflows, triggers, and conversion rates
  • Users: profiles, preferences, and interaction history

Why sync Panda Video with Azure SQL Server?

In Azure SQL Server, you integrate Panda Video data into the Microsoft ecosystem, using Power BI for executive dashboards and Azure Data Factory for orchestrating broader pipelines.

How it works

Erathos connects to Panda Video via official API and syncs your data incrementally: only new or updated records are processed in each run, keeping pipelines fast and Azure SQL Server costs predictable. You choose the sync frequency (from every 5 minutes to daily), the objects to sync, and the destination dataset. Every run is logged with full observability: execution time, rows processed, error context, and instant alerts via Slack or email in case of failures.

Why companies move data from Panda Video to Azure SQL Server with Erathos

Centralizing data from Panda Video into Azure SQL Server has never been simpler

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

Why do data teams choose Erathos for Panda Video?

Panda Video data in Azure SQL Server in minutes

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Building data-driven stories

Every new source implementation, if I had to do it myself, would take about two or three months. With Erathos, it's done in a few hours. I don't need the skills of a data engineer to generate real value from the company's data.

Bruno Rosso
Bruno RossoData Analyst, Brick Software

Erathos revolutionized data management at WE. By integrating multiple SaaS tools into a single DW, our technical team now focuses on the core business. We implemented dashboards with insights across every area, enriching our organizational culture and improving our decision-making.

Matheus Nunes
Matheus NunesCTO & co-founder, WePayments

We used to have a lot of rework, and now we don't. It's more efficient to work this way. If it's not your core business, hire Erathos. Spend your time modeling your own domain, not someone else's.

Carlos Schwabe
Carlos SchwabeCo-Founder & CDO, Brick

If I didn't have this infrastructure, I'd need three or four people to do what Erathos does today. I was able to generate real value from my data with a much leaner setup than I thought I'd need. That's the core of building a data-driven culture: the team only uses data when they can trust it.

Thiago Paz
Thiago PazCFO, Brick

Erathos brought a practical turnaround at CCM. We were able to integrate financial systems, CRM, and processes with BigQuery in just a few clicks, with no technical team required. That gave us a reliable data warehouse that powers automations, dashboards, and even our customer service bots.

Gustavo Loforte
Gustavo LoforteTechnology Manager, CCM Group

The robustness and efficiency of Erathos's connectors — whether for Meta, Google, RD Station, or ERPs like Bling and Conta Azul — make the whole process much faster and more reliable. The technical documentation is extremely well put together and intuitive, which makes implementation much easier.

Sayuri Valente
Sayuri ValenteProject Manager, Xperiun
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FAQ

Frequently Asked Questions

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 market tools.

Erathos syncs view, engagement, video, player, user, and performance metric data from Panda Video to your Data Warehouse incrementally and with no code.

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 Panda Video’s pipeline efficient and Azure SQL Server costs predictable.

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.

Yes. Every Erathos connector includes a 14-day free trial. Connect Panda Video to Azure SQL Server and start syncing immediately — no credit card required.

Data ingestion with control, observability and scale