Blogs
Date 29 June 2026
When it comes to business intelligence and data visualization tools, there are many factors to consider before choosing the right one for the job. For instance, if you need a tool that integrates well with Microsoft products, has an intuitive user interface and is great for data cleaning, analysis and exploration, Microsoft PowerBI is king.
If you need advanced data visualization and analytics with powerful data connectors and plethora of educational resources at your disposal, perhaps Tableau is the more suitable choice.
One of our clients required a tool that was easy to use, cost-effective and that would integrate well with AWS. After carefully evaluating the different options available, we landed on Amazon QuickSight. The client is happy with the results following the implementation and I thought it could be insightful to share some of the benefits below.
The benefits of using Amazon QuickSight
1. Easy integration with AWS services
QuickSight easily integrates with other AWS services such as Amazon Redshift, Amazon RDS, and Amazon S3, and is therefore a good fit for organizations that are already using other AWS products. In our case, it was the data that needed to be pulled out of Amazon S3, so QuickSight was therefore the right choice.
2. Cost-effectiveness
QuickSight has a pay-per-session pricing model, which means you only pay for the sessions you use, and there are no upfront costs or long-term commitments. No concerns about over consuming.
3. Collaboration
Our client needed something that represented “plug and play” and that would allow them to easily access the dashboard and share it with others. QuickSight, again, was right on the money here as it allows for easy collaboration and sharing of insights within organizations. You can easily share visualizations and dashboards with other users and give them the ability to interact with the data and create their own views.
4. Speed
QuickSight is designed to be fast, even when working with large datasets. With its in-memory calculation engine and the ability to connect to different data sources, you can quickly gain insights and make data-driven decisions.
The decision of what business intelligence and visualization tool to use should always come down to the specifics of the client's needs. And while Amazon Quicksight might not be able to rival PowerBI and Tableau, in terms of user experience, data connectivity or data cleaning and analysis- it is a choice worth considering when dealing with organizations already utilizing other AWS products.
Also worth having a look at some of our recent case studies where we have saved our clients Millions of pounds in cloud spend.
About the author
Team Capacitas
FinOps and AI: Building the Financial Discipline for the Next Wave of Enterprise Intelligence
AI FinOps represents an evolution rather than a replacement of traditional FinOps. It extends the model into a domain where financial, technical, and product decisions are tightly interconnected.
Confidence Under Load: How We Verified AKS Readiness for Peak
How Capacitas verified AKS readiness for peak demand by validating workload performance, autoscaling, cluster capacity, monitoring, and incident response.
Building Cloud Resilience: Lessons from the AWS Outage
Learning from the Latest Outage. Events like this week’s AWS disruption highlight one clear truth: resilience must be designed, not assumed.
Bringing Order to Chaos: A Practical Guide to Chaos Testing in the Cloud
In today’s cloud-native environments, resilience is not optional—it’s critical. Chaos testing has emerged as a key practice for validating system behaviour under failure conditions.
