Amazon QuickSight Reviews

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 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.

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.

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 have used it as rapid prototyping for exploring visualizations and analytics with the data. It seems to work quite nicely.

Our clients are looking for advice. To the extent that they were on AWS, we pointed them to this rather than using Power BI, which frankly we had an awful experience with. We were comfortable with the AWS stack, everything on AWS, and we pointed them to that for some of their analytics and with us holding their hand. Rather than investing in another product, we found a good cost model there. If you're running on AWS and paying for those services, the whole QuickSight thing was a nominal add-on cost for its services. It's actually pretty efficient.

From an analytics perspective, it's really good for self-service analytics.

It's not a Tableau. It's not a TIBCO Spotfire. They could do further integration with some data governance and data cataloging. You can't tell a data story as well in QuickSight as you can on others, especially in TIBCO Spotfire. If they integrated it more with some data cataloging and had some guided analytics where it will walk you through everything, that would be ideal. Most clients don't expect it to do that. That said, once again, it isn't a Tableau. The results are as good as Tableau, and yet, it doesn't, from an engineering perspective, tell the data story or allow a user to be able to access a data catalog that lets you drive how your analytics need to go. I don't if they're working on that, however, that would be a lovely enhancement.

I've used the solution within two years. 

The stability has been quite good. I don't believe we've had any major issues with the stability. I can't recall dealing with bugs or glitches and it doesn't seem to crash or freeze.

I haven't really tested the scalability. There's no reason to think it wouldn't, given AWS's general capability. 

I'm aware of other solutions. however, rather than licensing Tableau or Power BI, or TIBCO, we found that we needed an introductory analyst tool for our clients that we could help them use. The more sophisticated users are using things like TIBCO on AWS, or Tableau, or Looker. However, with QuickSight, we find it to be really good as an introductory tool for our clients that want to do simple analytics.

The cost of the solution has a minimal cost if users are already on the AWS stack.

There are additional service fees based on the services it consumes. However, the cost is pretty mild. 

It's not like it's a few pennies a day. However, it's a per service or CPU and disc storage, and it's mostly CPU. It's a minimal surcharge as you're consuming more services on AWS.

I'm very excited about their product. We were using others, other things for visualization analytics, however, within the AWS stack, it's actually proving to be pretty capable.

It was a whole AWS stack that we're shaping out. Given our partnership with Amazon, they've been pushing a lot of different services and products at us. But the QuickSight was something that was remarkably quick to stand out and recreate some use cases within, for example, Power BI. So we have found that to allow for a really rapid, quickly produced prototype. 

I would recommend QuickSight as, if you were a citizen developer, it's very approachable. Learning something like TIBCO or Power BI is a bigger learning curve. What I do like about QuickSight, is that it gives a relative beginner the ability to really start seeing results quickly. I don't think it's a competitor yet for some of the more sophisticated tools. However, if a developer or developer's client was relatively unsophisticated, it's a very smooth and quick place to start.

I would rate the solution at a seven out of ten simply due to the fact that, in its class, it does well, however, in comparison to some other tools, it's not as robust.

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.

One of the most valuable features of Amazon QuickSight has been the speed at which visualizations can be created.

There is room for improvement in terms of the number of visualizations and dashboards that are available. 

This is a stable solution that is always progressing and evolving. We have between 300 and 400 employees across three companies who use it.  

This is a scalable solution.

The ROI for QuickSight we have experienced is high. It has a higher ROI compared to Tableau due to its lower price. 

The standard edition is free to use for exploration purposes while the enterprise edition needs to be paid for. The pricing for this solution is very reasonable. 

For new users who use Amazon Redshift as their database, QuickSight is the best option for dashboards and reporting. 

I would rate this solution an eight out of ten. 

With AWS, we work with multiple things, different versions in each area. In most of the areas, I believe we employ the latest version. 

We use Amazon QuickSight to provide data insights. 

The solution provides a good business intelligence service. The query and dashboard capabilities are entirely good. 

There should be better connectors for different data sets. 

I have been working with AWS for four to five years. 

The solution is quite stable. 

The solution is scalable. 

I rate Amazon QuickSight as an eight out of ten.