How does Kondado replicate YouTube data to Redshift?

Kondado connects to the YouTube API to extract metrics from your channel and loads them into Redshift on your chosen schedule. You select which of the six available pipelines you need, such as Daily Video Statistics or Playlist Items, and the platform handles the replication automatically without requiring manual exports or custom scripts.

What YouTube metrics can I analyze in Redshift?

You can analyze views, likes, comments, subscriber changes, average view duration, and playlist performance. The Daily Channel Views and Daily Video Views pipelines provide granular watch time data, while Playlist Items deliver metadata about video positioning within collections.

How often does YouTube data update in Redshift?

You configure the update frequency based on your analytics needs, choosing intervals from every 5 minutes to daily. Near-real-time updates ensure your Redshift warehouse reflects recent video performance, while less frequent schedules optimize for cost efficiency with large historical datasets.

Can I combine YouTube data with other marketing sources in Redshift?

Yes, once your video metrics are in Redshift, you can join them with data from YouTube advertising campaigns, Google Sheets spreadsheets, or BigQuery datasets to create unified marketing dashboards. This allows you to correlate video engagement with advertising spend, website traffic, or sales data stored in the same warehouse.

What data format does YouTube data have in Redshift?

Kondado loads YouTube data into Redshift as structured datasets with predefined schemas that match the API response fields. Each pipeline creates separate datasets containing 114 total fields across Daily Channel Statistics, Video Statistics, and Playlist information, ready for SQL querying and connection to Power BI or Looker Studio .

Do I need technical skills to set up YouTube to Redshift replication?

No coding is required to configure the connection. You authenticate your YouTube account through Kondado's interface, provide your Redshift credentials, and select your desired pipelines using the visual data source selector. The platform manages schema creation and data type mapping automatically.

Can I send YouTube data to databases other than Redshift?

Yes, you can replicate your video metrics to PostgreSQL , MySQL, SQL Server, or Amazon S3 depending on your infrastructure needs. Kondado maintains the same pipeline structure and update schedules across all supported destinations.

Send data from YouTube to Redshift

Get started for free

No credit card required | 14 days | 10 million records | 30 pipelines

or sign up with your email

By signing up, you agree to Kondado’s Terms of service and Privacy policy

Send YouTube Data to Redshift

How to send YouTube data to Redshift? Kondado provides a direct integration that replicates your YouTube metrics to Amazon Redshift on a configurable schedule without requiring engineering resources. Simply connect your YouTube account as a data source, configure your Redshift destination, and select which pipelines you want to replicate from the available options. The platform handles the data extraction and loading automatically, updating your data warehouse every 5 minutes, hourly, or daily based on your analytics needs. Once in Redshift, you can analyze video performance, channel growth, and audience engagement using SQL queries or connect to visualization tools like Power BI and Looker Studio for comprehensive reporting.

Kondado automatically replicates YouTube data to Redshift on a configurable schedule, offering six pipelines including Daily Channel Statistics, Daily Video Statistics, and Playlist data, enabling analysts to build custom reports and combine video metrics with other business data sources.

Our prices start from $19 USD/month, and you can try Kondado for free for 14 days with no credit card required

Available YouTube Pipelines for Redshift

With the Daily Channel Statistics pipeline, you can track subscriber growth and video views over time to measure content strategy effectiveness directly in Redshift. The Daily Video Statistics pipeline delivers granular metrics like average view duration and engagement rates, allowing you to identify top-performing content and optimize future uploads for maximum reach. Additionally, the Playlist Items pipeline helps you understand how curated content collections drive traffic and retain viewers, giving you complete visibility into your YouTube presence alongside other marketing data stored in your warehouse.

Try out all the features for free for 14 days

YouTube data available for Redshift

available pipelines

114

extractable fields

Available integrations

Integration	Description
Daily Channel Statistics	Analyze metrics such as views, likes, and comments per day, along with data on subscribers gained and lost.
Daily Video Statistics	Examine daily views, likes, and comments of videos, along with metrics like average view duration.
Playlist Items	Details videos in playlists, including title, description, and publication date, along with the video's position in the playlist.
Playlists	Provides information about playlists, such as title, description, and privacy status, along with the number of videos in the playlist.
Daily Video Views	Presents daily views and minutes watched, allowing detailed analysis by video and channel.
Daily Channel Views	Shows views and minutes watched per day, with options for detailing by channel and other dimensions.

Daily Channel Statistics

Analyze metrics such as views, likes, and comments per day, along with data on subscribers gained and lost.

Daily Video Statistics

Examine daily views, likes, and comments of videos, along with metrics like average view duration.

Playlist Items

Details videos in playlists, including title, description, and publication date, along with the video's position in the playlist.

Playlists

Provides information about playlists, such as title, description, and privacy status, along with the number of videos in the playlist.

Daily Video Views

Presents daily views and minutes watched, allowing detailed analysis by video and channel.

Daily Channel Views

Shows views and minutes watched per day, with options for detailing by channel and other dimensions.

See all available data →

Try out all the features for free for 14 days

How to send YouTube data to Redshift

Sync data automatically — no code, no manual exports.

Connect YouTube Account

Authorize Kondado to access your YouTube channel data by selecting YouTube as your data source and completing the OAuth authentication process.

Configure Redshift Destination

Enter your Amazon Redshift cluster credentials including host, database name, and schema to establish the destination warehouse where your video metrics will be stored.

Select Pipelines and Schedule

Choose from the six available pipelines such as Daily Channel Statistics or Daily Video Views, then set your preferred update frequency from 5-minute intervals to daily replication.

Try out all the features for free for 14 days