Amazon QuickSight Reviews

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. 

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.

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. 

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 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.

We tried to do a proof of concept with QuickSight. Essentially, we were evaluating it for visualization to create charts and graphs to explain the reports that were being generated behind the scenes. Instead of having to go through hundreds of thousands of lines of tables, we just wanted to get a high-level summary and then figure out the areas in which we needed to go deeper. We used its latest version.

It didn't. We weren't able to fully implement it due to security concerns.

I don't like the fact that we had to implement it using an iframe. To implement it on a website, you have to use an iframe. It would be better if we could call up an API to populate content on the website versus having your alignment iframe. This is because when it is on a separate server, you have to deal with cores. 

I also couldn't customize the look and feel to meet the environment in which we were trying to install it. Its initial setup was also not straightforward.

We weren't able to fully implement it due to security concerns. One part of our company is currently implementing Databricks because of security issues with AWS QuickSight.

We tried it for a three month period.

We were selecting it for scalability, but we didn't get that far. Our clients are usually large businesses. They are multi-million dollar government agencies.

I didn't contact them, but I heard that there were some issues with response time, or the answers that they were getting were not quite where they needed to be.

I initially built the solution by using data tables and Databricks. We were initially building out prototypes just to find out what the client wanted and to determine the BI tool to proceed with. At the end of the day, if we had a better developer who was able to easily wire up the Databricks data tables, high charts, and interactivity, it probably would have been the solution. The problem is that when you have a group of data sets, how are users supposed to know which data set they need to incorporate into the build to get the results that they need. 

There is some way that QuickSight could do that and say, "Here are all your data sets that you have, and here's the content inside of it, or at least the high-level entities that match." It would be much easier to be able to say, "Hey, I have an entire Data Lake that is full of information, and I want this kind of answer." It should then be able to direct you to the data set that you need to incorporate to get those answers.

I didn't do its initial installation and setup, but I know that it was not straightforward. It could have also been because of the quality of developer we had. It wasn't just a straight plug and play, especially when you have a multiple-tier architecture. It would be great if there was like a line from the CDN that you can just install inside of either NPM or install it on the backend to be able to populate with API on the front end, but we didn't really have the best developers working on that. I know that they had some problems with the implementation, whether because of datasets that were populating it or something else. It wasn't straightforward. Based on their struggles and the fact that they couldn't turn it around in a proof of concept in a day, I would say that it was not easy to implement. 

If you took Excel and you knew pivot tables, you could go in and easily create a pivot table out of the Excel data within. Even if you don't understand it, it is pretty straightforward, but QuickSight was not as straightforward.

If it is on an iframe on a separate server and we're trying to employ something that is serverless technology, we have to pay each time they went and tapped the service. So, every call to the server had a cost associated, which can make it quite expensive depending on how much you use. I've dealt with smaller hosts with unlimited bandwidth and unlimited space for 20 hours a month. The prices of AWS, Azure are astronomical. It is kind of frustrating, but it is what it is. It is the industry standard.

I would advise others to have quality developers and ensure that the security patches had been in place and be mindful of that moving forward so that if there are any security issues, you can call it out before the client calls it out.

I would rate Amazon QuickSight a five out of ten.