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.

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 generate reports from QuickSight, and the data is stored in an S3 bucket.

The graph charts, pie charts, and box plots are valuable.

In one of the use cases, we had to embed the dashboard into the client application. The embedding function doesn’t work well. The solution must be more user-friendly. I have also written some questions on the community page.

I have been using the solution for the last three years.

I rate the tool’s stability a six out of ten. Some functionalities are not available in the product. It is not as mature as Tableau and Power BI.

I rate the tool’s scalability a six out of ten. The product is serverless. It can be scaled, but it takes time based on the workload and the data that needs to be fed from the dashboard. Around 500 people use the product in our organization.

I have raised around three tickets. I get responses from the support team.

Neutral

I rate the ease of setup a seven out of ten. The deployment took hardly two to three hours. We needed three people to deploy the product.

The solution’s price is fine. I rate the pricing a six out of ten. The pricing depends on the number of authors and readers we need.

I evaluated Tableau and Power BI, but our clients’ setup was established on AWS, so they preferred Amazon QuickSight.

People are using the tool without any problems. Overall, I rate the product 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.

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.

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.

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.

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.