Connect Amazon S3 to QlikView: Dashboards in Minutes

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Amazon S3
QlikView

Visualize Amazon S3 Data in QlikView

You can visualize Amazon S3 data in QlikView by using Kondado to replicate your stored files directly into your analytics environment without complex technical setup or intermediate databases. Our platform creates a direct integration between your AWS storage and QlikView, allowing business teams to access CSV data and other file formats as ready-to-use datasets for immediate visualization. Simply configure your data source, select which information to include through available pipelines, and transform raw storage contents into clear visual charts and actionable business reports that drive strategic decisions.

Kondado connects Amazon S3 to QlikView with automated updates on a configurable schedule ranging from every 5 minutes to daily, requiring no coding or technical infrastructure.

This approach lets marketing teams track campaign performance, operations managers monitor inventory levels, and business users analyze sales trends without waiting for IT support or technical assistance. Your data flows continuously into QlikView dashboards that update automatically on your chosen schedule, so you always have current insights for confident decision-making across your entire organization.

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

With the CSV Files pipeline, you can bring order details, marketing campaign results, or financial records from your S3 buckets directly into QlikView for immediate business analysis. Configure specific file prefixes and column delimiters to organize different data streams, such as separating monthly sales data from customer feedback files or logistics reports. This flexibility allows operations teams to build inventory tracking dashboards while marketing groups create performance visualizations and sales leaders monitor revenue patterns, all working seamlessly from the same Amazon S3 storage source without technical complexity.

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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 QlikView

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

1
Connect Amazon S3 data source

Log into Kondado and add Amazon S3 as a new data source by entering your AWS access credentials and storage bucket details. Select the CSV Files pipeline and configure your file prefix and column delimiter settings to match your data structure.

2
Select QlikView destination

Choose QlikView as your destination to establish the direct integration that will deliver your S3 data into your analytics environment. You can also send the same data to Power BI, Looker Studio, or BigQuery if your team uses multiple tools.

3
Configure refresh and build dashboards

Set your preferred update frequency, from every 5 minutes to daily, then start building QlikView reports and charts using your automatically replicated data. Your dashboards will stay current without manual intervention, giving you reliable insights for business decisions.

Access Amazon S3 data in QlikView 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

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Frequently Asked Questions (FAQ)

Answers about visualizing Amazon S3 data in QlikView automatically

How do I connect Amazon S3 to QlikView without coding?
You can establish the connection by adding Amazon S3 as a data source in your Kondado account and selecting QlikView as your destination. The setup process requires only your AWS credentials and file location details, with no programming or database configuration needed. Our interface guides you through selecting the CSV Files pipeline and defining how your data should appear in QlikView.
What types of dashboards can I build with Amazon S3 data in QlikView?
You can create custom reports showing sales trends, inventory levels, marketing campaign performance, or customer behavior analysis based on the files stored in your S3 buckets. Operations teams often build logistics tracking displays while marketing teams visualize conversion metrics and campaign ROI. These visualizations update automatically based on your configured schedule, keeping everyone aligned with current business conditions.
How often does Amazon S3 data update in QlikView using Kondado?
You can configure automated updates to run every 5 minutes, 15 minutes, hourly, or daily depending on your business needs and data velocity. This configurable schedule ensures your QlikView reports reflect recent information without manual file imports or data refreshes. Choose more frequent updates for time-sensitive operations or daily refreshes for periodic reporting requirements.
Which business KPIs should I track using S3 data in QlikView?
Common metrics include monthly revenue trends, inventory turnover rates, customer acquisition costs, and campaign conversion rates derived from your stored CSV files. Operations managers monitor supply chain efficiency and stock levels while marketing teams track lead generation performance across different channels. You can also compare historical trends against current performance to identify growth opportunities.
Can I share QlikView dashboards with my team using S3 data?
Yes, once your data flows into QlikView through Kondado, you can distribute reports to colleagues, stakeholders, or clients using QlikView's native sharing and collaboration features. Team members access the same current information simultaneously, ensuring everyone works from consistent data points. You can also send data to Google Sheets or Power BI if colleagues prefer those platforms.
Do I need technical skills to set up the Amazon S3 data source?
No technical expertise is required, as Kondado provides a straightforward interface for connecting your AWS storage without writing code or managing servers. You simply enter your access credentials, select the CSV Files pipeline, and define file parameters such as prefixes and delimiters. The platform handles the data replication process automatically, delivering ready-to-use datasets directly to QlikView.
What file formats from Amazon S3 work with QlikView through Kondado?
Currently, the CSV Files pipeline enables you to replicate comma-separated and delimiter-separated files stored in your S3 buckets into QlikView for analysis. You can configure different column delimiters and file prefixes to handle various CSV structures and organizational schemes. This covers most standard business data exports from ERP systems, marketing platforms, and sales databases.

Try out all the features for free for 14 days