Connect Amazon S3 to Metabase: Dashboards in Minutes

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Amazon S3
Metabase

Connect Amazon S3 to Metabase for Visual Analytics

Want to turn your Amazon S3 file storage into actionable business insights without writing a single line of code? With Kondado, you can replicate data from your Amazon S3 data source directly into Metabase using our simple visual interface. Simply select your CSV Files pipeline, choose how frequently you want data updates ranging from every 5 minutes to daily, and start building charts immediately. Your marketing and operations teams can finally unlock the valuable information stored in your AWS files and transform it into friendly visualizations that drive faster, more confident business decisions every day.

Kondado provides a direct integration between Amazon S3 and Metabase, enabling business teams to replicate CSV file data on a configurable schedule and visualize it immediately without intermediate databases or coding requirements.

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

Combining Amazon S3 with Metabase opens up powerful possibilities for analyzing structured file data through intuitive dashboards. By replicating your CSV Files pipeline, you can visualize sales trends from uploaded spreadsheets, track inventory levels from exported reports, or monitor marketing campaign results stored in your buckets. Business users can create custom reports that automatically refresh on their preferred schedule, ensuring stakeholders always see current metrics without manually downloading files. Whether you are analyzing monthly revenue data, customer feedback forms, or operational logs, this connection transforms static AWS storage into dynamic decision-making tools that keep your entire team aligned.

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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 Metabase

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

1
Add Amazon S3 as your data source

Log into Kondado and add Amazon S3 as a new data source by entering your AWS access credentials. Choose the CSV Files pipeline you want to replicate from your S3 buckets.

2
Select Metabase as your destination

Select Metabase as your destination platform to receive the replicated data. Map your CSV columns to the appropriate fields in Metabase to ensure proper visualization formatting.

3
Build dashboards and configure data refresh

Create custom charts and dashboards in Metabase using your S3 data, then set your preferred refresh schedule to keep reports updated automatically. Share insights with your team through Metabase's built-in collaboration features.

Access Amazon S3 data in Metabase 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

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Frequently Asked Questions (FAQ)

Answers about visualizing Amazon S3 data in Metabase automatically

How do I connect Amazon S3 to Metabase using Kondado?
Start by adding Amazon S3 as a data source in your Kondado account, then authenticate with your AWS credentials. Select the CSV Files pipeline you want to replicate, choose Metabase as your destination, and configure your preferred update schedule. The setup requires no coding and typically takes just a few minutes to complete.
What types of dashboards can I build with Amazon S3 data in Metabase?
You can create custom dashboards tracking sales performance from uploaded spreadsheets, inventory management from exported logs, or marketing analytics from campaign CSV files. Metabase allows you to build bar charts, line graphs, and pie charts that visualize trends from your structured file data. These visualizations help operations and marketing teams spot patterns without manually processing raw files.
How often does the data from Amazon S3 update in Metabase?
Kondado updates your data on a configurable schedule that you control, with options ranging from every 5 minutes to daily or weekly intervals. You select the frequency when setting up your replication, ensuring your Metabase dashboards reflect the most recent information based on your business needs. This automation eliminates the need to manually refresh or re-upload files to see current metrics.
Can I share Metabase dashboards built from Amazon S3 data with my team?
Yes, once you create dashboards in Metabase using your replicated Amazon S3 data, you can share them with colleagues through public links, embedded views, or by inviting team members directly to your Metabase workspace. This ensures everyone from marketing to operations accesses the same current data visualizations. Stakeholders can view reports without needing AWS access or technical knowledge of your S3 structure.
What KPIs should I track when visualizing Amazon S3 CSV files in Metabase?
Common KPIs include monthly sales totals from transaction files, inventory turnover rates from stock reports, and campaign conversion rates from marketing exports. You can also track file upload frequencies to monitor data freshness or analyze customer behavior patterns from survey CSVs. Metabase makes it easy to calculate these metrics using its built-in query builder without writing SQL.
Are there pre-built report templates available for Amazon S3 data in Metabase?
Kondado does not provide pre-built report templates for this connection, allowing you to build fully custom dashboards tailored to your specific CSV file structures and business questions. You create visualizations from scratch in Metabase based on the exact columns and data points stored in your S3 buckets. This flexibility ensures your reports match your unique operational terminology and KPI definitions.
Can I send Amazon S3 data to other visualization tools besides Metabase?
Yes, Kondado supports multiple destinations including Power BI, Looker Studio, Google Sheets, and BigQuery. You can replicate the same CSV Files pipeline to different tools simultaneously or choose the platform that best fits your team's visualization preferences. This allows marketing teams to work in Looker Studio while operations uses Metabase from the same S3 source.

Try out all the features for free for 14 days