Amazon QuickSight Reviews

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 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.

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. 

I'm a Business Intelligence Developer. I use QuickSight for developing dashboards and reports. We have its latest version.

Amazon QuickSight can provide insights from the available data. It supports various rule types. We get the options of machine learning and insights, which are not available in other intelligence tools. 

It is easier to use, more stable, and cheaper than other solutions.

It is a simple tool with limited features. Its visualization set is very limited, and it also has limited functionality. An intelligence tool should not be only for creating reports. Currently, we have to do all computational and mathematical operations outside. We should be able to do such operations in an intelligence tool like this.

As an intelligence tool, it should support dynamic refresh. QuickSight currently supports the refresh at a minimum of one hour, and it is not suitable for dynamic dashboards that require frequent refreshes. 

I have been using this solution for two years.

It is stable.

We are a startup. We have around 100 plus users, and we have just five or six members for maintenance. 

Their technical support is quite fast. They are also very supportive.

We started only with QuickSight, but I have experience with Tableau.

Its initial setup is very easy as compared to other solutions. We just connect to QuickSight. 

It is simpler and cheaper than other solutions.

It is a simple intelligence tool. It is quite simple as compared to other advanced intelligence available in the market. If you are working on real-time applications, such as Robotics and the Internet of Things (IoT), and want dynamic dashboards with frequent refreshes, then QuickSight is not a suitable option.

I would rate Amazon QuickSight a five out of ten based on my experience with other products.

I am a technology consulting service provider. 

We are system integrators that help my business customers as a system integrator and I use AWS Services on the machine learning and analytics side.

My area of work is mainly on artificial intelligence and machine learning.

I was using Amazon QuickSight to generate contacts and insights.

There are companies that have contact center operations in order to support their customer queries and to do any in-house analytics on the contact center's performance.

The most valuable feature of this solution is the user interface.

QuickSight is gradually adding new features, but it is not as mature as some of the other products on the market such as Tableau or Power BI.

The cost is something that could be improved, it should at least be competitive at least for a year until they get a good hold on the market penetration.

As I have not yet explored the solution to its fullest, It may already have this available, but what I would like to see is better, drag and drop based integration of the data sources into the Amazon QuickSight dashboard, so that you can automatically integrate it with different types of data cleaning tools.

There could be an end-to-end pipeline for data cleaning as well as presenting it using different visualizations.

My knowledge is brief, I have only used this solution for two to three days.

We are not using the latest version, it would be two to three months before this.

It's a stable solution.

Amazon Quicksight is scalable.

In our organization, I was the only one who was exploring it.

The installation was easy. Because everything is on the cloud, it's all about integration.

I wouldn't say that it is an expensive product, but to stay competitive they would need to bring down the prices.

I am planning to use this solution in the future.

I am going to use it by recommending it to my clients where I can suggest that they can explore Amazon QuckSight as one of their options for business intelligence reporting.

If the customer is satisfied with the pricing and other features compared to other products such as Tableau or Power BI, then I would go ahead and start analyzing.

I would rate this solution 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.