Amazon Quicksight vs Microsoft PowerBI
Tags: quicksight, dataengineering, analytics, developer
Published: 2024-01-15 15:03:58

**Requirement of data visualization**
•In the face of a growing volume of data, it is essential to focus on the pertinent information.
•Prioritize the examination of relevant data.
•Opt for a format that allows for quick and easy digestion of information.
•Helps understand the data well and communicate the insight.
•Identify errors and inaccuracies in data quickly.
•Quick decision making and better decisions.
•Promotes storytelling to the audience.
•Optimize and instantly retrieve data.
•Achieve business goals by exploring business insights.

**Gartner Magic Quadrant for analytics and BI platforms**

![Image description](https://dev-to-uploads.s3.amazonaws.com/uploads/articles/axb1sf29qmyrh1rle0jn.jpg)

In the gartner quadrant it is clearly visible how Quicksight has moved from Niche players in 2022 to Challengers in 2023. Quicksight is making a lot of impact in the BI world with its new features.

**What is Amazon Quicksight?**
Amazon Quicksight is a Unified BI to replace legacy solutions.

![Image description](https://dev-to-uploads.s3.amazonaws.com/uploads/articles/s7cmryaixs9wrvigdfln.png)

Amazon Quicksight is a fast, easy-to-use cloud-based, serverless BI service designed for easy deployment to hundreds of thousands of users. As a fully-managed serverless application, there’s no need to buy, manage and scale servers and no software to deploy and upgrade. QS is deeply integrated with AWS data sources, allowing companies to quickly deploy secure and scalable BI with their data on AWS. QS also provides connectivity to an ever-growing list of non-AWS sources.



**What is Power BI?**

![Image description](https://dev-to-uploads.s3.amazonaws.com/uploads/articles/20ygq1dqi1ya4r4vfczq.png)


Power BI is Microsoft’s self-service BI platform for both on premise and cloud-based data.
•Fast & easy access to data
•Data discovery and exploration

**Power BI features**

**Get data**
•Connect to multiple data sources both on-premise and cloud
•Transform and clean data for analysis
•Live connections as well as imported

**Analyze**
•Create a data model
•In-memory engine
•Create measures using DAX

**Visualize**
•Create reports using countless visuals with a drag and drop canvas
•Look at data across multiple interactive visualizations
•Create bookmarks and custom navigation to tell your data story

**Publish**
•Publish to Power BI cloud service
•Auto data refresh
•Package multiple reports in apps

**Collaborate**
•Grant access on multiple devices
•Import dashboards and visuals directly to services like PowerPoint and Teams
•Connect to your data models via Excel and Power BI desktop

**How does Amazon Quicksight compare to Microsoft PowerBI?**

![Image description](https://dev-to-uploads.s3.amazonaws.com/uploads/articles/xisuti697mscofbn1j3h.png)

![Image description](https://dev-to-uploads.s3.amazonaws.com/uploads/articles/o2hqd3j44m56pu0903xn.png)


![Image description](https://dev-to-uploads.s3.amazonaws.com/uploads/articles/6gthgq4ko3mmqr6gbfdm.png)


![Image description](https://dev-to-uploads.s3.amazonaws.com/uploads/articles/vlfoovm6m3d3bxsuxa2q.png)


![Image description](https://dev-to-uploads.s3.amazonaws.com/uploads/articles/z3v03rfnqnqed9wc1x0p.png)


**Generative AI in Quicksight**
**Generative AI in Quicksight using Amazon Bedrock**

**Natural language visual creation**
Use vague or precise language to generate visuals

**Visual fine-tuning**
Tailor visuals by describing the formatting changes in natural language

**Quick calculations**
Accelerate analysis by creating calculations without looking up or learning specific syntax.


Below are the images showing how Generative BI capabilities can be used in Quicksight. you can ask Quicksight a question and Quicksight can answer you back with a visual. you can fine tune your visual and add it to your analysis. you can even create calculated fields the same way.

![Image description](https://dev-to-uploads.s3.amazonaws.com/uploads/articles/04wkresuxhol2nsf85w7.png)


![Image description](https://dev-to-uploads.s3.amazonaws.com/uploads/articles/y8opxlmyme0mh9y1mh78.png)


![Image description](https://dev-to-uploads.s3.amazonaws.com/uploads/articles/tsf6v20mm477zazoqpt3.png)