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Analyze YouTube Analytics engagement in your Data Warehouse

YouTube Analytics is an analytics tool for creators to monitor the performance of their videos on YouTube.

No credit card required

Create a single source of truth

Connect YouTube Analytics with the leading data warehouses on the market

Connect YouTube Analytics with the leading data warehouses on the market

What is Erathos?

Analyze YouTube Analytics engagement data and improve your content strategy

Erathos is a complete ELT software that extracts data from various sources through instant integrations. With plug & play connectors, you consolidate all your data in a single analytical environment and build a Data Warehouse in minutes.

Why Erathos?

From YouTube Analytics to your Data Warehouse in minutes

From YouTube Analytics to your Data Warehouse in minutes

Plug and play connectors

Connect YouTube Analytics with 80+ other plug-and-play integrations. Eliminate time-consuming manual processes and consolidate all your data in a single analytics environment, ready to generate actionable insights.

Greater control over pipelines

Create YouTube Analytics data pipelines quickly: select the relevant data, configure the schedule, frequency, and update type without writing a single line of code. You stay in full control, with complete flexibility.

Edge observability

Monitor your YouTube Analytics pipelines with real-time alerts via email, Slack, or Discord. Stop getting caught off guard by sync errors and ensure your data is always up to date and reliable.

No credit card required

No credit card required

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 establish a pipeline.

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 BigQuery, Databricks, Redshift and PosgreSQL to centrlize your data

FAQ

Frequently Asked Questions

Frequently Asked Questions

Which YouTube Analytics engagement metrics can I analyze in the data warehouse?

With Erathos, you centralize YouTube Analytics data on views, likes, comments, reach, audience growth, and engagement in your Data Warehouse for content analysis.

Are YouTube Analytics data synchronized incrementally?

Yes! The YouTube Analytics integration via Erathos is incremental by default: only new or changed data is synced on each run. This ensures efficient pipelines, lower processing costs, and data that is always up to date in your Data Warehouse.

Can I test the YouTube Analytics integration for free?

Yes! You can test the YouTube Analytics integration for free for 14 days. Just connect YouTube Analytics as a new source—you’ll have two weeks to validate whether the connector meets your needs before any charges apply.

Which data warehouses can I send YouTube Analytics data to?

With Erathos, you can send YouTube Analytics data to the market’s leading data warehouses: BigQuery, Snowflake, Redshift, Databricks, Amazon S3, and PostgreSQL. Just choose your destination and set up the pipeline in minutes, with no code.

Does Erathos integrate YouTube Analytics directly with other systems?

No. Erathos does not provide direct integrations between YouTube Analytics and other systems ("point-to-point"). Our focus is on centralizing YouTube Analytics data in a Data Warehouse, creating a single source of truth so your company can make data-driven decisions with reliable data.

Which YouTube Analytics engagement metrics can I analyze in the data warehouse?

With Erathos, you centralize YouTube Analytics data on views, likes, comments, reach, audience growth, and engagement in your Data Warehouse for content analysis.

Are YouTube Analytics data synchronized incrementally?

Yes! The YouTube Analytics integration via Erathos is incremental by default: only new or changed data is synced on each run. This ensures efficient pipelines, lower processing costs, and data that is always up to date in your Data Warehouse.

Can I test the YouTube Analytics integration for free?

Yes! You can test the YouTube Analytics integration for free for 14 days. Just connect YouTube Analytics as a new source—you’ll have two weeks to validate whether the connector meets your needs before any charges apply.

Which data warehouses can I send YouTube Analytics data to?

With Erathos, you can send YouTube Analytics data to the market’s leading data warehouses: BigQuery, Snowflake, Redshift, Databricks, Amazon S3, and PostgreSQL. Just choose your destination and set up the pipeline in minutes, with no code.

Does Erathos integrate YouTube Analytics directly with other systems?

No. Erathos does not provide direct integrations between YouTube Analytics and other systems ("point-to-point"). Our focus is on centralizing YouTube Analytics data in a Data Warehouse, creating a single source of truth so your company can make data-driven decisions with reliable data.

Data ingestion with control, observability, and scale