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
How to visualize Amazon S3 data in Data Studio? Kondado offers a direct integration that lets you replicate your S3 files into Data Studio without complex setup or intermediate databases. Simply connect your Amazon S3 account as a data source, select the CSV files you want to visualize, and start building charts in minutes. The process requires no technical expertise, making it perfect for business users who need quick access to file-based insights.
Kondado connects Amazon S3 to Data Studio via a direct cloud-to-cloud connection, replicating CSV files on a configurable schedule ranging from every 5 minutes to daily, with no coding required.
With Kondado, business teams can transform raw file storage into actionable insights. Marketing and operations teams at SMBs and agencies can monitor file-based metrics, track upload trends, and make informed decisions without managing complex infrastructure. The platform handles data preparation automatically, so you focus on analyzing results and driving business outcomes rather than wrestling with file formats.
Our prices start from $19 USD/month, and you can try Kondado for free for 14 days with no credit card required
Combine Amazon S3 storage with Data Studio visualization to unlock insights from your file-based data. The CSV Files pipeline lets you analyze sales records, marketing campaign results, or operational logs stored in your S3 buckets. By replicating this data on a configurable schedule, you can track file upload patterns, monitor data freshness, and identify trends in your stored information without manual exports.
Business users can build custom dashboards showing key metrics like file volume over time, data source distribution, or storage utilization patterns. Whether you are analyzing customer upload behaviors or tracking internal data processing workflows, connecting S3 to Data Studio turns static file storage into dynamic business intelligence that updates automatically.
Try out all the features for free for 14 days
Kondado automatically reads the schema of your Amazon S3. All tables, views, and fields available in your account are extracted without manual configuration.
| Integration | Description |
|---|---|
| CSV Files | Includes fields such as Start reading date, Column delimiter, and File prefix, enabling efficient data reading and organization. |
Try out all the features for free for 14 days
Visualize your data automatically — no spreadsheet exports or custom scripts.
Log into Kondado and add Amazon S3 as a new data source by entering your AWS access credentials. Select the CSV Files pipeline and configure your file prefix and delimiter settings to match your stored data.
Choose Looker Studio as your visualization destination and map your S3 fields to the appropriate chart dimensions. Set your preferred update frequency ranging from 5 minutes to daily schedules.
Design your custom reports in Data Studio using the replicated CSV data, then activate automatic refresh to keep metrics current. Share insights with stakeholders who can view updated file analytics without accessing AWS directly.
If the source you want is not listed, drop us a chat message. We love to add new sources!
If the software you need is not listed, drop us a messagem. You can use almost every tool
Answers about visualizing Amazon S3 data in Data Studio automatically
Try out all the features for free for 14 days