Amazon QuickSight Reviews

Amazon QuickSight is a business intelligence tool that gives the user all kinds of reports, like real-time and historical reporting. It allows you to showcase various reports and analytics and even trigger some limited actions. It's primarily designed for advisors or analysts.

I've used it extensively for Amazon Connect reporting.  There are many tools that can integrate with Amazon Connect for reporting, but since Amazon Connect lacks native customization features, one way to customize reporting is to use QuickSight. 

Compared to other reporting tools, it is very effective but does require an understanding of certain concepts in QuickSight. This understanding is crucial for creating dimensions, changing metrics, and visualizing reports. If someone has a thorough knowledge of QuickSight, it is a very good tool that allows for significant customization. 

Recently, with AI integrations coming into play, QuickSight has gained a lot of new features, particularly in its integration with Amazon services and the ability to write queries using simple English. This is a fantastic feature that has helped me create and deploy reports more quickly.

One area is that integrating data from different sources into QuickSight can be a bit tricky, especially with Amazon Connect. To get data flowing, you need to use two additional services and configure them correctly. 

The setup isn't straightforward and can be time-consuming.

Secondly, while QuickSight is a BI tool, it lacks features to suggest actions or integrate with other systems to turn it into more than just a data display tool.

Additionally, from a user perspective, QuickSight is easy to use if you have analytics experience. For beginners, it takes more time to understand the mechanics, visualizations, and overall functionality. 

Lastly, integration with Amazon Connect can be unstable. Changes on the Amazon Connect side can impact datasets in QuickSight, causing reporting failures. These are some of the drawbacks that needs improvement. 

I have been using it for three years. 

In previous deployments, Amazon Connect was used by all the supervisors and some of the C-suite executives who were actually using Connect. All those supervisors, C-suite people, and even team leaders in the contact centers used QuickSight for their day-to-day operations. 

They relied on it to understand their dashboards, check wallboards, and monitor how graphs showcase the different performances of the agents and even the voicebots at times. 

In a call center with around 300 total, I have seen 20  to 25+ QuickSight users, which includes C-suite people as well, like the head of the call center and the head of business operations.

It's affordable compared to other long-term contractor business tools available in the market. There are cost advantages with QuickSight, but it needs to be configured properly to realize these savings and get the most out of the platform at a lesser cost.

For first-time users, it's crucial to understand the use case first. Why do we need to use QuickSight? It's like a Lego block, capable of constructing a lot. So, determine whether QuickSight is really necessary for your use case. 

If QuickSight is chosen, take advantage of Amazon's documentation to learn about its strengths and capabilities. Understand the different dimensions, metrics, visualizations it supports, and the various fields and objects. Learn how it integrates with data sources. Knowing these aspects well will help you launch your projects faster and more easily.

Based on my personal experience with the usage and UI, I would rate it around a five out of ten. There are many developments that could still be made in QuickSight, especially in the way it integrates.

I'm a student, and I'm using Amazon QuickSight for my research paper. I'm using it for visualization.

I like that with Amazon QuickSight, you don't need to install an app to use its services. With other BI tools, you need to install the app, so Amazon QuickSight is better for me in this area.

I have no idea how other powerful tools such as Tableau and Power BI work, but an area for improvement in Amazon QuickSight is the storage. That needs to be increased, but that also means you have to pay for that increase in storage.

It would be great if Amazon QuickSight had a free trial for students.

I also noticed that the product no longer allows the creation of stories. It used to have that feature, so Amazon QuickSight should bring that back.

Another area for improvement in the tool is data cleanup because I'm experiencing errors when cleaning the data. Some data automatically gets deleted, so that should be improved, and there should be more options for data cleanup.

What I'd like Amazon QuickSight to have in the future is documentation. It needs video tutorials to help users write code and show the different functions and purposes of Amazon QuickSight.

I've used Amazon QuickSight for six to seven months now.

Amazon QuickSight is a stable product.

I didn't try other BI tools apart from Amazon QuickSight.

I'm using a paid version of Amazon QuickSight, paying about $22 monthly. As I have yet to learn about the pricing for other tools, such as Power BI, I won't be able to compare. Still, if Amazon QuickSight has lower pricing than Power BI, then it's the better product, but if its pricing is higher, then the pricing for Amazon QuickSight needs to be lowered.

The only BI tool I have experience with is Amazon QuickSight.

I'm using the student version of the tool.

I didn't work with a significant amount of data, so at the moment, I won't be able to advise new users of Amazon QuickSight.

My rating for Amazon QuickSight is six out of ten.

I'm a user of Amazon QuickSight.

Our primary use case bank in the financial sector, we review the information and make some validation with the legacy system and a book of indicators of KPIs with directors and CEOs.

The data is very powerful and the splice is fast.

The most valuable feature I have found is the low-level securities are very easy to use. The power of calculation with variables or building formulas and you can use datasets that are incremental updates. It is powerful and fast. You do not need to update all the data, you can use a partial update. It is something you use a lot in the industry.

I would like to see a feature that allows us to save a draft version before making it public and publishing it. This draft option would allow for comments to be made and those comments to be reviewed. Changes could be made and then published to the public.

I have been using Amazon QuickSight for the past two years.

The stability is excellent. Only one time in two years was the service not working and that was for an hour.

There is very good scalability and large capacity.

Technical support is very good. You have support and a forum where you can search for help and new ways to use it.

The initial setup was straightforward and easy.

The implementation was done in-house. The deployment usually takes one week to ten days.

The pricing is cost-effective with a good plan.

You can use it with confidence and you can trust in a product that is evolving very fast. It is better than Tableau, which is another leader in the market. Amazon QuickSight is easy to use and cost-effective. On a scale of one to ten, I would give Amazon QuickSight an eight.

We primarily use the solution for reports for our finance team. We take in a lot of data and we use the quick site reports to process and present everything back to our finance team.

We're satisfied with the product. It handles the data well.

It is fine for basic reporting.

This solution is very inexpensive, which makes it an attractive option. 

It's not ideal for reports that are more complex. We're actually looking into other options that allow us to get into more complex queries and offer more dashboards. We'd like to be able to present things using graphs and tables. If people just want the hard data, that can just be exported to Excel. However, we have teams that want visualizations in order to look for trends and display peaks of inactivity or behaviors like that.

I've been using the solution for around a year. 

Overall, the product is stable. There are no bugs or glitches and it doesn't crash or freeze. It is reliable. 

We haven't tested scalability too much. We only have five people using the product.

I'm not aware of us ever using technical support. I cannot speak to how helpful or responsive they are.

I'm not sure about the setup or deployment process. That was handled before I arrived at the company. However, as part of the Amazon product suite, it appears to be easy to implement and easy to use. However, that's only anecdotal from my end. 

While the company likely implemented the solution internally without the help of AWS or consultants, it happened before my time and I'm not sure who set it up.

The pricing is very reasonable. They are very cheap. 

Right now, we are paying $200 a month to use it. I'm not aware of any other additional costs beyond that one fee.

We are currently looking into different options right now so that we get more than very basic reporting. Right now, we are looking into Power BI. From our research, it seems to come out on top a lot. 

I'm an end-user.

I use the product in my company. I'm not sure which version of the solution I'm using. That said, everything is cloud-based and therefore it is likely it is the latest version.

I'd rate the solution seven out of ten.

I use Amazon QuickSight in my company to perform some basic analysis of certain data.

The solution's most valuable feature is its flexibility to visualize certain logs.

Making joints between different tables in the solution can be a little cumbersome process. I am still in the process of exploring the tool's features, so it's a little bit early to comment on what needs improvement. The number of features in the product is limited in comparison with the other tools in the market, like Power BI. I hope that Amazon QuickSight offers more features like Power BI.

I have been using Amazon QuickSight for a year. My company is a user of the product. I use the product's latest version.

Stability-wise, I rate the solution a seven out of ten.

Scalability-wise, I rate the solution a ten out of ten.

Around ten people, consisting of data engineers, in my company, use Amazon QuickSight.

My company uses the product on a weekly basis.

I believe my company plans to increase the usage of the product.

I rate the product's initial setup phase a seven on a scale of one to ten, where one is a difficult setup phase, and ten is an easy setup phase.

The product's installation phase was straightforward.

The solution is deployed on a public cloud by AWS.

The solution can be deployed in a day.

Amazon QuickSight is a cloud solution, so you don't need to do a lot to deploy it because you need to activate it, after which it gets ready to function.

The product's installation phase was carried out with the help of an in-house team of our company.

I have not yet seen a return on investment from the use of the product.

I rate the price of Amazon QuickSight a four on a scale of one to ten, where one is a low price, and ten is a high price.

A minimal amount of maintenance is required for Amazon QuickSight.

I rate the overall product a six and a half to seven out of ten.

Amazon QuickSight is primarily used to provide reporting on top of some data lakes built on top of AWS. We are primarily an advanced partner with SAP, providing analytics on top of SAP data using AWS services. Since some of our customers don't want to associate with other vendors, we are looking into Amazon QuickSight as one of the BI solutions.

When I work with data in AWS, it is easy to integrate. Amazon QuickSight has introduced a new functionality called Q bar, which allows the user to do natural language queries and get additional insights using some built-in generative capabilities.

Amazon QuickSight's visualization could be improved. Features like data processing capabilities, available in Tableau, are limited in Amazon QuickSight.

I have been working with Amazon QuickSight for two months.

Amazon QuickSight is a stable solution.

I rate Amazon QuickSight an eight out of ten for stability.

Amazon QuickSight is a scalable solution. Our customers for Amazon QuickSight are from small to enterprise businesses.

I rate Amazon QuickSight an eight out of ten for scalability.

The solution's pricing is cheaper than the other products in the market. Amazon QuickSight has a monthly subscription. There are no extra costs for report consumption, but an additional cost is incurred only when the users have additional storage.

We are currently proposing Amazon QuickSight to some of our customers primarily because of the Generative BI capabilities built into it. Amazon QuickSight does not need a lot of maintenance because it's a service managed completely by AWS.

Amazon QuickSight has evolved a lot in recent years, especially because of generative AI capabilities. It is evolving and is a go-to solution for customers looking for generative AI capabilities and building the solution on AWS.

Overall, I rate Amazon QuickSight a seven out of ten.

We chose QuickSight because we had a need to build some dashboards several months ago. We were looking for a monitoring dashboard that would provide an overview of what was going on across the organization. Our aim was to utilize Power BI. I'm a solutions architect and we are customers of Amazon. 

QuickSight is a solution that's easy to manage. 

The product lacked connectivity with other third party tools and data sources like Azure or any other cloud. Having that would have enabled us to use the service more widely with people relying more on AWS these days. It would also provide connectivity with other clouds so that the people who want to manage or monitor from the AWS brand can do that.

We used this solution for about five months.

The stability is good. 

The solution is scalable. 

We haven't needed to contact customer support because the company provides good documentation. 

The initial setup was relatively easy. 

I rate this solution eight out of 10. 

We use Amazon QuickSight as a BI tool for data analysis. When we are working with Amazon data on Amazon Cloud, we use Amazon QuickSight. If I have to build a solution on Amazon data for an IT team or for a quick POC for some customers, I use QuickSite. Additionally, for basic analysis, we use QuickSite. 

The most valuable feature of Amazon QuickSight is its connectivity with other Amazon services.

Our company is heavily bought into Amazon, our entire infrastructure is set up on Amazon for my organization. This is why QuickSite is good for us because everything else is running on Amazon.

Amazon QuickSight has minimal features. The feature set can be improved to allow you to create good production-ready dashboards. This does not happen with QuickSite, it needs to mature to be used in production.

With Amazon QuickSight or any other BI tool, they are limited in what you can do because they're drag and drop tools. For unique features we need or what we want to build, we cannot build using these tools. We use JavaScript for that. We write our own code and build our own solutions.

I need the capability to call machine learning models in Python. For example, while I'm building a dashboard if I am displaying a chart, but the value calculation should be a machine learning model, which is running somewhere else, such as on Amazon. I need that capability because these tools give good outputs, such as calculated fields. However, today the outputs are not straightforward. It's not only some additional or multiplication, but you also need a machine learning output to come, and then you want to show it. These tools cannot do that on the fly. In simple, you can say machine learning on the fly is not currently provided.

I have been using Amazon QuickSight for approximately five years.

The stability of Amazon QuickSight is fine.  It doesn't crash or cause any issues at all.

The solution is scalable according to their marketing. However, there are some issues.

When the data size increases, as we go from a few thousand rows to a million rows to a hundred billion rose to queries. This solution fails. With a few Mb's it works fine but with a few GB's, the solution is likely to be slow. When we tried to use terabytes or hundreds of terabytes of data, the solution does not work.

We have ten users using Amazon QuickSight in my organization. We do not have plans to increase our usage.

I have used Tableau. If the user is a C-level employee, such as a CXO, CEO, or VP, they prefer to work with Tableau. It's easier for them than Amazon QuickSight. Additionally, we have used Microsoft BI.

Amazon QuickSight is a SaaS that does not require any installation or deployment.

Amazon QuickSight you subscribe and you use the service.

My advice to others is that there are many good solutions but it depends on your use case. If you are building something for C-level employees, use Tableau or another solution. If you want to do data analysis on Amazon, use QuickSite. And if you want to build production-ready software use Javascript.

These BI solutions are built with some thought in mind, they're good at what they do, but they don't solve all the problems. The features I need, they cannot provide me because they're not built like that.

I rate Amazon QuickSight a six out of ten.