Amazon QuickSight Reviews

We primarily use the solution for basic reporting, charts, and graphs.

There is no installation required. It is browser-based. 

We like that you can look at groups, users, and like that we can take advantage of column-level and row-level restrictions.

The SpiceDB capacity is pretty large compared to other contemporary options, including competitive software like Power BI, Tableau, etc. It has better performance with respect to large data sets.

The solution is simple to implement. 

Managers can build a dashboard, and over a period of time, they can build very complex dashboards as well. 

It is easy to learn. There is a decent level of documentation already available around QuickSight. There are multiple YouTube channels, videos, and tutorials available, and there is a QuickSight community from where you can get help. This helps users work with the basic functionality of QuickSight.

The solution is stable.

It is quite scalable. 

I just want a few more features to be added. We'd like an increase in the number of visuals, and we find the graphs are still very restricted.

We need reporting around telementary use and QuickSight users, including which user is opening which dashboard, at what time, and for how long he is using the dashboard. They built reader access based on the session. However, they don't report it anywhere.

I was expecting this very basic thing, yet it has not been rolled out. In order to know which user is opening which dashboard and at what time, I have to basically deep dive into the CloudTrail log. Even there, it's not a very detailed log. It does not give you an idea about the session or session duration. It only gives you an idea about whether a dashboard was loaded or not. 

Currently, auto-reporting is limited to some 30 times a day. As it is, if you want to set a data set to get it refreshed every half an hour, you cannot achieve it. We would like to have more auto-reporting.

I've used the solution for three to four years. 

Stability-wise, it is decent. It's reliable. There are no bigs or glitches. It doesn't crash or freeze. 

It is very scalable. 

There are data sets where I have millions of records, and the size of the data set is beyond 100 GB as well.

We have more than 500 users on the solution currently.

There is a lot of documentation available that can help users learn the solution and troubleshoot.

On multiple occasions, I have had to check with the AWS support regarding QuickSight, and the support is pretty decent around it.

Positive

I did not previously use a different solution.

I did work with Power BI. Power BI had too many visuals. It's pretty mature, however. Power BI is a very old reporting tool. It has great functionality, yet it is costlier. Still, it is not very scalable as it is limited to 10 GB only. Whereas in QuickSight, you can have beyond 10 GB easily. A few data sets we have are beyond 110 GB.

The solution is online; you don't have to install anything. It's user-friendly so it is easy to get started. If you have users on your AWS account, you can just enable QuickSight access for them.

User management is very easy. 

The ROI a company might se depends on how they are using it. It's a service. If you are not using it efficiently, then obviously, the ROI would be lower.

It's not a one-time purchase.

It's like they build you on three fronts. One is the SpiceDB capacity that you buy. Another is the author account you create in QuickSight and the reader's account. For an author account and SpiceDB capacity, there is a fixed charge. For the author, it's $24 per month. For SpiceDB capacity, it's somewhere at around $0.30 per GB per month. For the reader account, there is no charge. It's pay per session, and I don't know the price per session. 

You need to be aware of how you have it set up. Even though we have, let's say, 50 authors, for example, out of those 50 authors, only two or three authors were creating dashboards. The rest of the authors were sitting idle. At that point, we got billed unnecessarily. Later on, we figured it out, and we removed the unnecessary authors.

We're a customer and end-user.

One big lesson that I have learned is that first, you identify what kind of reporting you want to do. Then, just go and check whether that kind of reporting is already available in QuickSight or not. If yes, then you have to think about the cost. It's pretty much in your face, and you can precalculate it without any issue, and then you have to just play around with a couple of average users.

I'd rate the solution eight out of ten.

We use Amazon QuickSight for our internal reporting.

A valuable feature of Amazon QuickSight is that it's a cloud-native service provided by AWS. As all platforms within my company run on AWS, that's the leverage of Amazon QuickSight.

Amazon QuickSight is also easy to use, and I find the native connectors from AWS valuable as well.

Right now, you can't use Amazon QuickSight on other cloud providers, so I'd like it to have availability on other cloud providers. This is an area for improvement in the product.

What I'd like to see in Amazon QuickSight in the future is a distributed centralized system where I can manage all reports in one place, and for Amazon QuickSight to become reporting as a service.

I've been using Amazon QuickSight for almost two years now.

Amazon QuickSight is a stable product because it's an AWS native, so it has all the data reconciliation taken care of by AWS. You won't need to worry about stability in Amazon QuickSight.

Amazon QuickSight is a scalable product.

I haven't contacted the technical support team for Amazon QuickSight at this point.

As our platform is on AWS, we decided to go with the native services of AWS which includes Amazon QuickSight.

Setting up Amazon QuickSight was so easy because Amazon provided complete documentation on how to do it.

You can deploy Amazon QuickSight within hours if you're quite familiar with the product, so it all depends on your experience and hands-on knowledge of AWS.

The implementation for Amazon QuickSight was done in-house. I even did some installations myself.

The Amazon QuickSight licensing model my company's on is pay-as-you-go, but I wouldn't be able to give the figures because that's handled by the finance department.

I'm an enterprise architect, and I work for a service desk company, so within the company, people use many other tools for day-to-day activities, such as tools for data ignitions, data orchestrations, data migration, big data, platform management, etc.

Currently, I'm using Amazon QuickSight for semantic layers. There's no specific version for the solution because it's cloud-based and it's managed by Amazon.

My advice, if you're looking to implement Amazon QuickSight, is that if your reporting is too slow and you're using an AWS platform, I'd recommend Amazon QuickSight. If you're reporting with multiple data sources coming from different clouds, then you should go with a different tool.

My rating for Amazon QuickSight depends on the data sources I have, the number of reports I'm going to build, the number of users that require reporting, and the cost. For my current environment, Amazon QuickSight is the best, though it won't be the best for everybody. I'm rating it based on my requirements, and because it meets my requirements, so my rating for it is nine out of ten. It's the perfect solution for my company currently.

My company has a partnership with Amazon.

We use QuickSight for the BI and for reporting purposes. We want to integrate two different applications. For example, we would want to merge NetSuite and an accounting solution and get the data from a fancy dashboard. Users can get any information they want at any point. We don’t need to query it every time we need something.

It has a lot of valuable features, but the most important aspect is the affordable cost. This solution costs much less in comparison to the competitors like Qlik Sense, Power BI, and Tableau. 

Otherwise, the rest of the features are similar to the competitors.

It can be made more user-friendly as some users might find this solution hard to implement. Qlik Sense, for example, is very user-friendly. 

The design and visual appearance of the dashboard can be upgraded for improved user efficiency. 

The product is stable. Around 10-14% of people in my organization are using Amazon QuickSight. This is because most of the market has already been dominated by Tableau. Qlik Sense has also captured a large part of the market. 

It should be scalable.

We were using Qlik Sense, but presently we are migrating to Amazon QuickSight.  

It's not complex, but it's a bit tricky compared to the other tools. The setup of reporting on Amazon QuickSight is more difficult than other tools like Qlik Sense, Power BI and Tableau. 

There are different cost structures for using Amazon QuickSight. A fixed membership can be obtained and a timeframe basis membership is available for users too. I believe the pricing is quite low and the solution is worth the money. 

If a client is already using a competitor solution like Qlik Sense, then on most occasions, they wouldn't want to migrate to Amazon QuickSight. I personally believe that this solution is going to blow up the market very soon. I would rate it an eight 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 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.

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 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.

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.