Dashboards in minutes

Connect Azure Table Storage to Power BI: Dashboards in Minutes

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Connect Azure Table Storage to Power BI

Start by connecting your Azure Table Storage account to Kondado as a data source. Choose which tables and views you want to replicate to Power BI, then set your preferred update schedule ranging from every few minutes to daily. Kondado handles the data preparation automatically, delivering clean datasets directly to your Power BI workspace without requiring any technical setup, coding, or intermediate databases.

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available pipeline
  • No code, no spreadsheets
  • Auto-refreshed data
  • 14-day free trial

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Kondado provides a direct integration between Azure Table Storage and Power BI, replicating your NoSQL data on a configurable schedule so your reports always reflect current business conditions.

With this connection, marketing teams can track campaign performance stored in Azure, operations managers can monitor inventory levels across distributed systems, and business analysts can combine Table Storage metrics with other sources for comprehensive insights. The automated refresh keeps your visualizations current, enabling faster decision-making based on the latest data from your cloud applications and eliminating manual data exports.

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

Try out all the features for free for 14 days

Available data

Dynamic data

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

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available pipeline
Auto-refresh

What Kondado extracts

Tabelas e Views
Kondado automatically maps all tables and views available in your database

Try out all the features for free for 14 days

The Tables and Views pipeline automatically discovers all your Azure Table Storage entities, making every dataset available for visualization without manual configuration. Whether you are monitoring application logs, tracking user sessions, or analyzing IoT sensor readings stored in your NoSQL database, Power BI transforms these raw records into actionable charts.

Business users can create operational dashboards showing customer behavior patterns from their web applications, or build executive summaries that aggregate transactional data across multiple partitions. By combining Azure Table Storage metrics with sales data from other sources in Power BI, you gain unified visibility into performance trends that drive strategic planning and daily operations.

Try out all the features for free for 14 days

How to create Azure Table Storage dashboards in Power BI

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

1
Connect Azure Table Storage

Add Azure Table Storage as a data source in Kondado by entering your account credentials and testing the connection.

2
Select Power BI destination

Choose Power BI as your destination and select the Tables and Views pipeline to determine which data to replicate.

3
Configure refresh and build dashboards

Set your update frequency from 5 minutes to daily, then start building custom reports in Power BI using your automated Azure data.

Access Azure Table Storage data in Power BI 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 Azure Table 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 Azure Table Storage data in Power BI automatically

How do I connect Azure Table Storage to Power BI using Kondado?
Start by adding Azure Table Storage as a data source in your Kondado account and enter your connection credentials. Then select Power BI as your destination, choose the Tables and Views pipeline, and configure your replication schedule to begin sending data.
What types of dashboards can I build with Azure Table Storage data in Power BI?
You can create operational monitors for application performance, customer analytics showing user engagement trends, or inventory tracking systems for distributed logistics. Since Azure Table Storage often contains time-series data and logs, Power BI excels at revealing patterns in website traffic, IoT device metrics, or transaction volumes over time.
How often does my Azure Table Storage data update in Power BI?
Kondado updates your data on a configurable schedule that you control, with options ranging from every 5 minutes to daily intervals. This ensures your Power BI reports reflect recent activity from your Azure tables without requiring manual refreshes or exports.
Which KPIs should I track when visualizing Azure Table Storage in Power BI?
Common metrics include request latency trends, storage capacity utilization, entity count growth over time, and partition key distribution for performance optimization. Marketing teams often track event counts and user session durations, while operations managers monitor error rates and throughput statistics from their application logs.
Are there pre-built report templates available for Azure Table Storage in Power BI?
Kondado does not provide pre-built report templates for this data source, allowing you to build completely custom dashboards tailored to your specific business needs. You can design visualizations that match your unique Azure Table Storage schema, whether you are analyzing e-commerce transactions, game telemetry, or supply chain events.
How do I share Power BI dashboards with my team using Kondado data?
Once your data flows into Power BI, use the platform's native sharing features to distribute reports to colleagues, stakeholders, or clients. Since Kondado maintains automated updates, everyone viewing your shared dashboards sees consistent, current information from your Azure Table Storage without needing direct database access.
Can I combine Azure Table Storage data with other sources in the same Power BI report?
Yes, you can blend your Azure Table Storage metrics with data from Google Sheets, BigQuery, or other sources to create comprehensive business views. This is particularly useful for correlating application logs with sales figures or comparing IoT sensor data against inventory records stored in different systems.
What specific data entities can I visualize from Azure Table Storage in Power BI?
Through the Tables and Views pipeline, you can replicate any table or view stored in your Azure Table Storage account, including partition keys, row keys, timestamps, and custom properties. This gives you access to application logs, user profiles, session data, and any other entities your development team has stored in the NoSQL database.

Try out all the features for free for 14 days