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. 

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.

It is mainly for dashboarding and visualization.

I am using its latest version. It is deployed on the cloud through an S3 bucket connected to Athena.

The ease with which it integrates with different data sources is most valuable. Especially when everything is on AWS, it is easy to connect to the data source and organize different dashboards.

The visualizations that it has got are not as robust as some of the other competitors in the market. We would like to have more visuals. 

The modeling side of it is not as robust as Power BI.

It should support integration with Python or R.

Its support should be improved. There isn't much support for this solution.

I have been using this solution for about a year.

It is stable for what I do with it.

Its scalability is fine because I use a lot of data. Everything on the cloud should be able to scale when needed.

In my organization, we have six developers, and we have up to 50 people who are using it. Based on the security level, we can share these reports with different persons in the organization. 

We don't have a plan to increase its usage. Instead, we are seeing if we could try something else, and that's what I'm currently working on.

There isn't much support available. We had an issue and when we tried to get support, they made it clear that they can't give any support, and what is lost is lost. I would rate their support as average.

We were using Power BI. We switched because what we're doing was hosted on AWS, so it became easier to just stay on AWS. Instead of carrying the data, we stayed at the AWS server. That was the main reason for switching to QuickSight. So, everything is domiciled on Amazon Web Services.

It probably was pretty straightforward. They had already deployed the system before I joined the organization. So, I started using it.

We didn't evaluate other options.

It is easy to use, and it integrates really well with different data sources. However, there is a lot of room for improvement. There are limited visuals, and it doesn't integrate with Python or R. So, you need to be sure of what you're doing and whether it would serve the purpose. If you need basic visualization without too much integration and customization, it is perfect.

I would rate it a six out of 10.

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. 

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.

The platform has a lot of limitations. We used it for two months and decided to change to another product.

They could provide more options for graphics and other features. It has a lot of limitations compared to other database platforms.

We have used Amazon QuickSight for two months.

We encountered a few technical issues while loading the data. I rate the product's stability a four out of ten.

The application is not scalable. I rate the scalability a four out of ten.

We didn't utilize the technical support frequently. We received the support from our partners.

We have used Qlik and Power BI. We switched to Amazon QuickSight as we had a good partnership with AWS and decided to test the platform.

Amazon QuickSight can be deployed on the cloud.

The product pricing is better than other vendors.

We used Amazon QuickSight as a database platform. It helped the managers to visualize the data activities. I rate its integration capabilities with existing data sources and ecosystems an eight out of ten.

Overall, I rate it a six out of ten.

We can create visualizations programmatically, through CLI, and manually. This feature is not available in Tableau. The product is easy to learn.

REST API feature is not available in the product. If I want to show the whole visualization and data in a single URL, I can do it through Power BI and Tableau. I did not find it in QuickSight. The product has some storage and SPICE data issues. Achieving visualizations with huge data is possible in Tableau, but it is not possible in QuickSight.

I have been using the solution for three months.

The tool is stable.

The technical support is awesome.

Positive

Compared to Tableau, the product is not that good. However, it is a good product.

The solution is not affordable. Recently, we had to create a dashboard programmatically, so I had to create some policies. AWS charged me more for it. The solution can be afforded by big companies, not by smaller ones.

It’s a completely cloud-based system. I am using the cloud link provided by my organization. I directly access the tool through the URL. It is a good tool to learn. Overall, I rate the product a nine out of ten.