Connect Amazon S3 to Data Studio: Dashboards in Minutes

Get started for free

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

sso google logo
Sign up with Google
sso facebook logo
Sign up with Facebook
sso microsoft logo
Sign up with Microsoft
sso linkedin logo
Sign up with Linkedin

or sign up with your email

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

Amazon S3
Data Studio

Visualize Amazon S3 Data in Data Studio

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

What You Can Visualize

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

Dynamic data

Kondado automatically reads the schema of your Amazon S3. All tables, views, and fields available in your account are extracted without manual configuration.

1
available pipeline

What Kondado extracts

CSV Files
Includes fields such as Start reading date, Column delimiter, and File prefix, enabling efficient data reading and organization.
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

How to create Amazon S3 dashboards in Data Studio

Visualize your data automatically — no spreadsheet exports or custom scripts.

1
Connect Amazon S3 as data source

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.

2
Select Data Studio destination

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.

3
Build dashboards and configure refresh

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.

Access Amazon S3 data in Data Studio and combine it with dozens of other data sources

If the source you want is not listed, drop us a chat message. We love to add new sources!

Visualize Amazon S3 data in other BI tools

If the software you need is not listed, drop us a messagem. You can use almost every tool

Hundreds of data-driven companies trust Kondado
arezzo
brf
Contabilizei
dpz
Experian
grupo_soma
inpress
multilaser
olist
unimed
v4_company
yooper

Frequently Asked Questions (FAQ)

Answers about visualizing Amazon S3 data in Data Studio automatically

How do I connect Amazon S3 to Data Studio without coding?
You start by adding Amazon S3 as a new data source in your Kondado account, then authenticate with your AWS credentials. Once connected, you select Data Studio as your destination and choose which CSV files to replicate. The setup takes minutes and requires no technical expertise.
What types of dashboards can I build with Amazon S3 data in Data Studio?
You can build custom reports showing file upload trends, storage utilization over time, and data freshness metrics from your CSV Files pipeline. Many teams create operational dashboards to monitor incoming data volumes or marketing analytics showing campaign file processing status.
How often does Amazon S3 data update in Data Studio using Kondado?
Kondado offers flexible scheduling options ranging from every 5 minutes to daily updates, depending on your business needs. You configure the frequency when setting up your replication, ensuring your Data Studio reports reflect the most recent file changes without manual intervention.
Can I share Amazon S3 dashboards with my team in Data Studio?
Yes, once your data flows into Data Studio, you can use the platform's native sharing features to distribute reports across your organization. Team members can view dashboards, apply filters, and analyze S3 data without needing direct access to your AWS storage.
What KPIs should I track when visualizing S3 CSV files in Data Studio?
Common KPIs include daily file upload counts, average file sizes, data source distribution by folder prefix, and processing time trends. These metrics help operations teams monitor data ingestion health and identify bottlenecks in file-based workflows.
Do I need to prepare my CSV files before connecting to Data Studio?
Kondado handles the technical preparation automatically, reading your CSV Files with configurable delimiters and prefixes. You simply specify parameters like column separators during setup, and the platform structures your data for immediate visualization in Looker Studio.
Can I combine Amazon S3 data with other sources in Data Studio?
Absolutely, Data Studio allows you to blend S3 data with information from Google Sheets, BigQuery, or PostgreSQL. This lets you create comprehensive reports that combine file storage metrics with CRM data, financial records, or marketing analytics.

Try out all the features for free for 14 days