Panda Video + BigQuery
Panda Video is a Brazilian video hosting and streaming platform built for content creators, infopreneurs, and e-learning companies. Focused on performance, security, and analytics, Panda Video offers features such as a customizable player, anti-download protection, custom domains, engagement reports, and integration 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 BigQuery in just a few minutes. Our platform handles the entire data movement process to your serverless data warehouse and lets you combine that data with other sources. That way, your time is spent on what truly drives value — extracting insights and making data-driven decisions.
What Panda Video data does Erathos sync with BigQuery?
The integration automatically syncs Panda Video's main 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 — workflows, triggers, and conversion rates
Users — profiles, preferences, and interaction history
Why sync Panda Video with BigQuery?
In BigQuery, you can connect this data with product, revenue, and customer satisfaction metrics — combining sources with standard SQL and per-query billing. Native integration with Looker Studio, Vertex AI, and BQML enables advanced analysis without additional infrastructure.
How it works
Erathos connects to Panda Video via the official API and syncs your data incrementally — only new or updated records are processed on each run. You choose the sync frequency (from 5 minutes to daily), the objects to sync, and the target in BigQuery. The sync uses incremental processing that handles only new or updated records — keeping BigQuery costs predictable. You choose the sync frequency, the objects to sync, and the destination dataset. Each run is logged with full observability: execution time, rows processed, and alerts via Slack or email.
No credit card required.
Why do data teams choose Erathos for Panda Video?
Panda Video Connector Ready to Use
Connect Panda Video to BigQuery and automatically export data. Centralize marketing data for analysis — without spreadsheets and without scripts.
Full control over your Panda Video pipelines
Configure sync schedule, frequency, and sync type at the table level. Configure sync schedule, frequency, and sync type at the table level. Incremental sync processes only new or changed records, keeping BigQuery costs low and your analytics always up to date.
End-to-end observability
No more 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 goes off track — so your analytics always have fresh data.
Why Companies Move Data from Panda Video to BigQuery with Erathos
Centralizing Panda Video data in BigQuery has never been easier
Erathos is a data ingestion platform built for operations and data teams. With the Panda Video connector, you can centralize operational data and metrics in BigQuery automatically — always up to date, with full observability into every run and zero maintenance.
Our Customers
Trusted by data-driven companies
Simplified data ingestion
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
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 you get with traditional market tools.
What data from Panda Video does Erathos sync to BigQuery?
Erathos syncs Panda Video view, engagement, video, player, user, and performance metrics data into your data warehouse incrementally and without code.
How often does Erathos sync data from Panda Video to BigQuery?
You can configure the sync frequency from every 5 minutes up to once a day, at the table level. Erathos uses incremental sync — only new or updated records are processed in each run, keeping the Panda Video pipeline efficient and BigQuery costs predictable.
What happens if a Panda Video sync 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 comes with a 14-day free trial. Connect Panda Video to BigQuery and start syncing right away — no credit card required.