Connect Google Cloud Storage to Redash: Dashboards in Minutes

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Google Cloud Storage
Redash

Visualize Google Cloud Storage Data in Redash

Connecting your Google Cloud Storage files to Redash enables your team to monitor file activity and track document workflows without writing code. Kondado creates a direct connection between your cloud storage and visualization tool, allowing business users to transform raw CSV file data into actionable charts and graphs. You can replicate file metadata including modification dates, file paths, and basenames on a configurable schedule to keep your reports current.

Kondado connects Google Cloud Storage to Redash with no intermediate databases required, enabling automated updates every 5 minutes, 15 minutes, hourly, or daily so your dashboards always reflect the latest file activity.

With this setup, marketing teams can track campaign asset deliveries, operations teams can monitor document processing workflows, and agencies can manage client file submissions visually. The platform requires no technical expertise to configure, making it accessible for SMBs that need immediate insights from their stored files. Simply select your update frequency and let the system maintain your visualizations automatically.

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

The CSV pipeline brings your Google Cloud Storage file metadata directly into Redash, capturing details like __file_basename, __file_path, and __kdd_insert_time. This enables you to visualize when files were added or modified, track storage organization patterns, and monitor file naming conventions across your buckets. Business teams can create dashboards showing document upload trends, identify stale files requiring attention, or track the volume of incoming client assets over time.

By visualizing this data in Redash, operations managers can spot delays in file deliveries and marketing coordinators can verify that campaign materials arrive on schedule. The automated data refresh ensures your file tracking charts stay current without manual exports, helping teams make faster decisions about storage management and document workflows.

Try out all the features for free for 14 days

Google Cloud Storage data available in Redash

1
available pipeline
8
extractable fields

Available integrations

Integration Description
CSV Table includes information about CSV files, featuring fields such as __file_basename, __file_path, and __kdd_insert_time, enabling tracking of the modification date and value of each file.
CSV
Table includes information about CSV files, featuring fields such as __file_basename, __file_path, and __kdd_insert_time, enabling tracking of the modification date and value of each file.

Try out all the features for free for 14 days

How to create Google Cloud Storage dashboards in Redash

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

1
Connect Google Cloud Storage

Add Google Cloud Storage as a data source in your Kondado account by entering your bucket details and authentication credentials.

2
Select Redash destination

Choose Redash as your visualization destination to receive the replicated CSV file metadata from your storage buckets.

3
Configure refresh and build

Set your preferred update schedule and start building dashboards in Redash to visualize file activity and storage trends.

Access Google Cloud Storage data in Redash 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 Google Cloud Storage 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 Google Cloud Storage data in Redash automatically

How do I connect Google Cloud Storage to Redash using Kondado?
Add Google Cloud Storage as a data source in your Kondado account by entering your bucket details, then select Redash as the destination and enable the CSV pipeline to start replicating file metadata.
What specific data from Google Cloud Storage can I visualize in Redash?
You can visualize CSV file metadata including file basenames, full file paths, and insertion timestamps, allowing you to track when files were uploaded, their storage locations, and naming patterns across your buckets.
How often does Google Cloud Storage data update in my Redash dashboards?
You can configure the update frequency to run every 5 minutes, 15 minutes, hourly, or daily depending on how frequently your files change and how current you need your reports to be.
What business KPIs can I track with Google Cloud Storage data in Redash?
Track file upload velocity, identify stale files requiring cleanup, monitor document processing bottlenecks, and measure the volume of incoming client assets or campaign deliveries over specific time periods.
Can I share my Redash dashboards with team members using this connection?
Yes, Redash allows you to share dashboard links with stakeholders, embed charts in internal wikis, or schedule automated email reports to keep everyone informed about file activity.
Do I need technical skills to set up the Google Cloud Storage connection?
No coding is required, the setup uses a point-and-click interface where you simply authenticate your Google Cloud account and select which file metadata to replicate to your visualization tool.
Can I send Google Cloud Storage data to other tools besides Redash?
Yes, you can also send data to Power BI, Looker Studio, Google Sheets, or BigQuery depending on your team's preferred analytics platform.
What file types from Google Cloud Storage can I analyze in Redash?
Currently the CSV pipeline supports analyzing metadata from CSV files stored in your buckets, capturing information about file modifications, paths, and storage timestamps for business tracking.

Try out all the features for free for 14 days