Amazon QuickSight Reviews

I've been working with Amazon QuickSight for about two years. I think Amazon QuickSight is one of the first services I had to use when it comes to AWS. At first, I was doing Tableau for data visualization, analyzing, and treating data, providing insights through charts and maps for customers or businesses. When I went into the cloud, I discovered that AWS has its own data visualization tool that is linked with many databases, called Amazon QuickSight. Amazon QuickSight gives you the possibility to extract or link data from different databases, such as MySQL or even DynamoDB or your Excel data if it's on your local machine, and many others. Amazon QuickSight is really an interesting tool because it's flexible and easy to use. It's a pay-as-you-go service, meaning you don't need to bother with upfront payments; when you log into your AWS account, you'll be able to enable Amazon QuickSight and start using it immediately if you're versed with data visualization.

It's linked with many databases and servers where your data is kept, so companies, supermarkets, and schools can use various databases around the world. Amazon QuickSight provides that possibility to link them; you shouldn't think that if you're using RDS, MySQL, or PostgreSQL, you must be skeptical about whether Amazon QuickSight accepts data from those databases.

My last project on Amazon QuickSight involved treating and linking Excel data into Amazon QuickSight for analysis. I also have skills in data visualization, allowing me to analyze company data and create charts. For example, the last project I completed was on compliance, where I presented a compliance report on security, system updates for over 200 end users. I used Amazon QuickSight to create insights, graphs, pie charts, maps, bar charts, and so on to present a graphical view to management.

When teaching the topic of Amazon QuickSight, we also use some free datasets from the internet, such as supermarket datasets; the most common is Walmart. They provide free datasets used to see how Amazon QuickSight can be better implemented.

The feature I find most valuable is that Amazon QuickSight is linked with so many databases at the back end, which most data visualization tools don't accept. For instance, Tableau or Power BI are also visualization tools, but Amazon QuickSight offers connectivity to 99% of databases available. Secondly, Amazon QuickSight is easier to use and deploy. If you've ever used Power BI or Tableau, you may notice that you need a license to access those tools, but with Amazon QuickSight, you simply need knowledge of how to use the AWS console to start. Dealing with dimensions and measures, treating and formatting data is also wonderful in Amazon QuickSight.

Amazon QuickSight has an interactive dashboard that is beautiful and user-friendly. For someone who loves GUI, Amazon QuickSight is visually appealing, with beautiful colors and good icons that are easy to identify. You can click, drag and drop, and extract data without facing complexity or a terminal-based interface. Amazon QuickSight is 90% user-friendly; just as with Windows, you click and drag. Even beginners get tips on how to attach datasets and create charts. The filtering options in reports allow you to present data based on certain criteria, making Amazon QuickSight aesthetically pleasing and functional.

Regarding Amazon QuickSight's machine learning tools, they are evolving and affecting all technology sectors. Amazon QuickSight has inbuilt machine learning features that automate data analysis based on trends, sales, and time. You can analyze without needing to write complex formulas, unlike traditional tools such as Tableau, which require significant math knowledge. Amazon QuickSight resolves these issues by allowing users to implement various mathematical functions simply by clicking, eliminating direct formula writing for data trends.

Assessing the effectiveness of Amazon QuickSight's API for embedded analytics in applications depends on awareness among users; many technicians or developers do not fully understand the benefits. Integrating an API with products that automate analytics visualization can be vital. AWS enables connections with various services, and as a cloud engineer, you can create APIs to automate the process of importing or refreshing data. This automation can prompt charts to update automatically, allowing live monitors of trends as new data is continuously refreshed, enhancing collaboration through shared access to the data.

I can't specifically say how Amazon QuickSight could be improved since I focus more on using it and leveraging its functionalities. However, I could invest additional time to explore possible feedback from customers regarding their challenges. As cloud engineers, our capacity to improve is limited since AWS manages the services, but I would be open to feedback.

I'm aware there are minor details that AWS could enhance, such as optimizing costs for beginners or small startups, which can be steep when trying to take Amazon QuickSight into production. Many have noticed that AWS services greatly benefit well-established companies, while startups struggle with costs as they transition data out of AWS. Understanding how AWS charges for Amazon QuickSight usage is critical for all users wanting to visualize their data effectively.

I've been working with Amazon QuickSight for about two years.

Amazon QuickSight is scalable, reliable, flexible, and extremely good.

In my company, we use AWS services more about the VPC because infrastructure is one of the most important tools we use. I'm focused on VPC onsite, but in the cloud, I'm a teacher, and I teach AWS services. I've been using many AWS services, and Amazon QuickSight is one of the most interesting ones I've used in the past.

I haven't used Amazon QuickSight's SPICE engine, but I've heard of it and aim to implement it in a live project soon.

On a scale from 1 to 10, I would rate Amazon QuickSight as 9.7, recognizing many benefits while noting certain pricing structures could be troublesome for specific user groups.

When evaluating Amazon QuickSight, I would maintain my rating since its cloud accessibility makes it versatile and easy to use. You can access Amazon QuickSight from anywhere, including on mobile, without needing installation. You enable it on your management console, and simply log out when done, making it convenient for users.

After considering everything discussed, I give Amazon QuickSight a nine overall. Its accessibility and ease of use, along with its significant data visualization capabilities, continue to impress.

I have experience with Amazon QuickSight and Redshift, DynamoDB, RDB, and all the umbrella services of data. I have completed a course and am ready to prepare a project for this complete project pipeline for data warehousing, ETL, processing, storage, preparing, cleaning, and all activities of the data pipeline workflow.

I have been working with Amazon QuickSight for about one year and a half now. I also have experience in different visualizations such as Python tools and data platforms such as KNIME, and different tools such as Grafana. Grafana is an important tool as well.

Amazon QuickSight is a data visualization tool that is a major component in business intelligence to extract insights from the data warehouse. QuickSight helps to extract insights, enabling senior managers to have a clear vision about the data, clients, and organization to make major business decisions or strategic decisions about improving the business. QuickSight is a major tool that helps business decision makers guide the business in the right direction.

Amazon QuickSight can create features such as charts for prediction or forecasting important issues about sales in the last year or quarter. You can create pie charts, line charts, scatter charts, and bar charts. These tools are very important to express changes in categories by location. You can measure the progress of sales, and you can measure the weakness or lowest activity of sales in some areas and determine how to improve it. The graphics are very important to create a data story of the business data.

The interactive dashboards of Amazon QuickSight are very important tools in business intelligence. You can select or filter for specific cases the business is searching for, such as a specific product or specific area, including Europe, Asia, America, or South America. You can create interactive selections or filtering of the data.

Amazon QuickSight could be improved by embedding AI features. For example, making automation for filling missing data or reformatting incorrect data formats, and making date corrections. This would relieve the difficulty for business people who have low experience fixing such issues. QuickSight can detect what the user needs and automatically create the correct chart type to view, supporting users effectively.

I will provide feedback about additional features again after I read and compare QuickSight with other competitors in the cloud space.

I have been working with Amazon QuickSight for about one year and a half now.

I have experience in data warehousing, data lakes, Python, and SQL databases, both SQL and NoSQL databases.

I can connect with various data sources such as Power BI, which is a very important tool. I can connect with relational databases such as Microsoft, Oracle, or non-relational databases such as MongoDB and Redshift. Redshift is also a data warehouse, and I can connect with different types of databases including data lakes.

I have knowledge about the SPICE engine of Amazon QuickSight and its role in facilitating data manipulation and data processing. The concept is similar in different clouds and enterprise environments, where you connect with sources and clean, process, and load data into the data warehouse for business intelligence. The dashboard is an important tool for data visualization.

Regarding QuickSight's machine learning tools, I consider machine learning very important in the data pipeline to make forecasting and predictions in the data. These tools help make decisions based on the data. I have worked in machine learning on Amazon, although I don't remember the specific Amazon machine learning service.

I find the pricing of Amazon QuickSight to be competitive. The cost, including licensing models, appears reasonable. For example, I am familiar with S3 storage pricing which is per gigabyte or per hour or per day.

On a scale of 1-10, I rate Amazon QuickSight a 7 out of 10.

We do partner with Amazon, and we use Amazon QuickSight for some of the projects. We have a global environment and some of the products in the US-based solutions where our teams are using it.

I downloaded the reports on Amazon QuickSight for curiosity to understand from my perspective and for my projects what I'm doing for the company, and that may be the reason.

I can answer that about Amazon QuickSight, but the problem is I haven't explored much on Amazon QuickSight. One of my other teammates in a different product started using it, and that's the reason I downloaded it, but I haven't explored much. I don't know how much I can answer the questions if you ask me, but I am open for you to ask the questions. If I don't know, I apologize for that.

For the product perspective, the product which I am handling, I am not using it, but my peer teams are using Amazon QuickSight for more than a year.

My team is working with Amazon QuickSight in a cloud-based deployment model.

I haven't been involved in the deployment of Amazon QuickSight, but I don't hear anything from my team or my peers. I haven't heard any challenges as such, but I can't fully answer that.

The improvement needed for Amazon QuickSight is more on a dashboard perspective because for my project, we are mostly looking for interactive dashboards. I think the same is the expectation for the rest of the customers as well.

When I say dashboard regarding Amazon QuickSight, I mean the interactive functionality. There's a difference in an interactive dashboard. The users should be able to interactively build the dashboard, slicing and dicing on the dashboard. That's something different rather than a snapshot of the dashboard. They need interactive models.

My understanding of how Amazon QuickSight integrates with third-party tools is minimal, but whatever the data sources we are having, those are straightforward for us. We have the RDS type of environment at the moment, so those are straightforward because these are native to AWS.

Interactive dashboards do help with data analysis.

I know there are a lot of products coming with AI models. I haven't explored how much AI at the moment is involved in Amazon QuickSight, but the current demand we are getting from the users are those looking for AI-type functionality rather than we build and serve them. The model should build automatically.

We are an Amazon partner.

I don't want to hypothetically say about the effectiveness of Amazon QuickSight in terms of machine learning, so I need to pass on that.

At the moment, on the cloud perspective, we have Amazon major, but we do have hybrid models. On the analytics side, we are migrating into Amazon QuickSight. One of the products is already migrating, and the rest is in the pipeline. As of now, we haven't picked it up.

I don't want to say very positive at the moment about the pricing of Amazon QuickSight because my initial understanding is that it's not an easy one to adapt, but the choices are there. The reason I'm saying this is that there are two different models. Since we are partnered with Amazon and many of the other products and services we are engaging, we have an overall agreement involving this type of product. That way we are getting a benefit on that rather than an individual product.

I have to pass on how much time my team spent on the deployment of Amazon QuickSight because I'm not very sure. I haven't been involved in the deployment and rollout.

For the product perspective, the product which I am handling, I am not using it, but my peer teams are using Amazon QuickSight for more than a year.

I haven't heard any challenges as such, but I can't fully answer that.

I would say at the moment, so far, good in the sense of Amazon's technical support. I would rate it an eight or nine.

Positive

Amazon QuickSight is a public cloud solution. I'm not using the SPICE engine with Amazon QuickSight. I would rate this review an overall eight.

I used Amazon QuickSight once for data visualization, but I don't actively use it in my work. It was just for a single project with Amazon QuickSight. I didn't use Amazon QuickSight for integrating with multiple AWS data sources and third-party applications; I only used it for visualizing data I was querying with S3 and Athena. It was a personal project with Amazon QuickSight. I have to add that it wasn't directly related to what I do with my company.

I appreciated the visualizations from Amazon QuickSight because they were very cool and easy to interpret when you get the right graphs to understand your data. There were also templates that I could incorporate into my data.

It's quite a pricey service, especially if you want to keep Amazon QuickSight running extensively.

Because I didn't use Amazon QuickSight extensively, I don't think I would be in the best position to recommend improvements. I was searching and wasn't getting the help I wanted with what I wanted to do. To be honest, I don't even remember exactly what I was looking for. That would not be on Amazon QuickSight's side. It was just that maybe the documentation for it was limited. However, I did see other documentation on other features.

AI features could be beneficial for Amazon QuickSight. An AI version for Amazon QuickSight that can help with visualization would be useful.

I used it a few months ago this year.

It wasn't so straightforward to deploy Amazon QuickSight because it was my first time. I wouldn't say it was very difficult either, so it was moderately challenging.

I spent more than an hour on deployment.

My company has Enterprise Support for Amazon, so we get quite fast responses from them. We get to hop on Chime with them. I would say out of all the support experience I've had, only 5% took quite a long time to respond to the support message.

Positive

I have left the company that I used to use those services for.

If you exclude reading documents and researching, I completed everything by myself without any additional outside help.

I mainly work with Amazon. There's S3 and AWS Backup, but I can't speak extensively about AWS Backup.

I have not used natural language querying with Amazon QuickSight. I'm not really in the ML space. On a scale of 1-10, I would rate this solution a 7.

My clients use Amazon QuickSight for reporting purposes. They are building reports and dashboards.

My clients are dealing mostly with simple dashboards, reports, and sending the reports across to them via emails and similar methods.

From my consultant perspective, the only advantage of the product is that if our client wants us to use it, there's nothing else as such.

It works quite nicely with the AWS RDS and AWS S3 buckets. For this particular client, that's all we use it for, nothing else.

I must say that I am not aware of the Natural Language Querying feature, as our clients are a little bit behind in this space, so we are not using this so much yet. We are not using Natural Language Processing at all so far.

I have covered some advantages of the product. However, I feel that this solution could be better in some ways, as at the moment, from a development point of view, this is more suited to the technical developers only. A lot of business users want to do self-service, and it's not that friendly or business user friendly for them to do their own work using this product so far. That's what we have found.

Improving it could involve making it easier for an end user to develop, modify the reports and dashboards and generate insights from it. Of course, the Natural Language Processing feature is there, but it is not being used that frequently just yet. Some of those things can be improved in that space for a self-service reporting capability.

In terms of the deployment of the product, I think it is suited to more technical users. Deployment-wise, I would say for people who know how to do it, it's reasonable. Not that hard, not that easy.

When we connect it to the AWS data sources, it's generally stable. For the data sources which are not in the ecosystem, we have found there have been a few issues, but it's hard to pinpoint whether the issue is with AWS and Amazon QuickSight or whether the issue is with the related products in the related areas.

Regarding technical support from AWS, I find that when we reach out to them, the support is good. It depends on the support arrangement that the client has with AWS as well. If they pay for it, then it is all good from that point of view.

Positive

I am unable to answer the question about the ROI of the product because the pricing changes for each client. They apply discounts and things like that, so I won't be able to answer that question.

I am using some of these products today.

I can say that I am using all of them.

From an automation standpoint, we do anomaly detection and identifying the KPIs and trends. We have started going down that path. We are not using it that much just yet either, but we have started going down that path recently.

Regarding the pricing model of Amazon QuickSight, I would say the solution is affordable in general in comparison to some of the other tools, for example, Tableau and Qlik. The model is different because in comparison to Power BI, it is not being used that much. It's comparatively reasonable.

Amazon could do a lot more in terms of marketing the features for this particular tool. What I see is that they are lagging behind in comparison to Microsoft or Tableau or Qlik in this space and they could do a lot more in promoting this tool to the market.

Based on my experience in the local WA market, I find that AWS is not doing very well. AWS is very far behind in terms of marketing the product and talking about it. They could do a much better job at that but they are not doing it at all at the moment.

Amazon QuickSight is suitable for all types of customers.

AWS or specific people can reach me via email to clarify something, but I would the review to be kept anonymous for the general public. I'm happy for AWS to reach out to me or if specific people want to talk about this in particular more, I'm happy to talk to them directly and then introduce myself accordingly, but otherwise, I would keep it anonymous.

I do not want to be a reference for AWS because we are fully independent consultants. That's why I want to keep it anonymous and not be a referee.

On a scale of 1-5, I rate Amazon QuickSight a 5 out of 5.

In my industry, it does not change. I focus mostly on automotive, retail, and finance.

The natural language query is very important, and natural language processing is crucial for disseminating dashboards across multiple formats and mechanisms. The performance, data freshness, and speed of providing insights are essential. It is intuitive for self-serve analytics. Efficiency has definitely improved, and the speed of developing analytics and insights has increased by at least twenty percent.

As mentioned before, I do not delve very deeply into the product, but pagination was an issue that has since been addressed. I think natural language processing for interacting with data without extensive preparation would be a significant advantage. If I could import the data and start asking questions in natural language, that would be beneficial.

The scalability is quite good. Although it is a little expensive, it is still effective.

I would rate the customer service eight out of ten.

Positive

The setup process falls somewhere in the middle. It is not straightforward, nor is it complex, but there is a significant amount of work needed on the back end to make it function.

A few people were involved in the implementation, I would say.

The pricing is comparable. It is not expensive, but it is also not cheap.

If I am heavily invested in Google, I might not recommend QuickSight. However, if I am primarily using Amazon, then QuickSight integrates well. It offers native integration and other benefits.

I would give the product a rating of seven out of ten. I recommend evaluating how well it integrates with your existing systems before making a decision.

I use Amazon QuickSight for a user portal where I need to display client data. When I started using QuickSight, I had to create a visual connection with the data source and share it with the client. 

Now, I use the embedded QuickSight feature, allowing clients to see the dashboard within the product when they log in. This setup is for a call center solution to identify fake calls using machine learning algorithms.

The best part about Amazon QuickSight is the filtration capability. If I want to see the data of a particular client, I can filter that data through the QuickSight dashboard. This feature is very easy and helpful for visualizing data and makes my clients happy. 

Additionally, Amazon QuickSight is very easy to set up, taking about three to four hours with an intuitive data connector for data sources.

One area for improvement is the cost, as it's a bit expensive. The caching mechanism also charges too much if I need to cache any data. Sometimes it takes time to display data, suggesting a need for enhancement in data visualization speed. 

Additionally, the role-level security is challenging to implement, and it could be improved to allow access control per department more easily.

I have been working with Amazon QuickSight for the last three years.

In the beginning, there were issues when I started using QuickSight, such as difficulties with embedding the dashboard into my product, but those have been resolved.

I believe Amazon QuickSight is scalable.

In the early stages, when embedding the dashboard was difficult, I raised a concern, and support helped resolve my issue promptly. I would rate the tech support at nine plus out of ten.

Positive

Before Amazon QuickSight, I used Tableau and Microsoft BI.

The initial setup of Amazon QuickSight is very straightforward. I had to assign policies to users, connect with data sources via the data connector, and then create visualizations. It allows connection to various data sources such as NoSQL, SQL, or CloudWatch logs and takes about three to four hours to set up.

Whatever I pay for Amazon QuickSight, I get back, so I am not worried about ROI.

Amazon QuickSight charges $250 per user, which becomes expensive when managing multiple departments. However, this cost is offset by the advantages it provides.

I have previously used Tableau and Microsoft BI.

I recommend QuickSight if you are using AWS and have everything deployed on AWS. It is easy to set up. Even a single person can configure it in three to four hours. 

On a scale of one to ten, I rate QuickSight as a ten.

I am a consultant. I support clients who have chosen QuickSight as their reporting tool for their businesses. We focus on major use cases like row and column level security, ensuring that different teams can access the same dashboard and see specific data depending on their roles.

QuickSight is a great savior in terms of row level security, providing almost equivalent value to Tableau and Power BI. It helps save money and is highly secure with excellent single sign-on capabilities.

Spice is a unique feature that serves as a super parallel memory engine. It allows for efficient management of large datasets, significantly improving dashboard performance. Additionally, QuickSight's documentation, integration support, and the generative AI capability with Amazon Q for natural language queries are impressive.

Some areas for improvement include incorporating automatic relevant filters, allowing better handling of large datasets for filters, simplifying image insertion, and enhancing QuickSight's ability to handle relationships between tables. There's also room for improvement in allowing default downloadable PDF exports for all pages of a dashboard and more diverse font styles.

I have been using Amazon QuickSight since the year 2020.

QuickSight is highly stable. It is reliable and performs exceptionally well for users and developers alike.

The scalability of QuickSight is excellent. It offers the flexibility needed for collaboration with cloud architects or data engineers when integrating data within AWS. However, it requires coordinating with a team for setting up certain permissions.

Technical support from the QuickSight team is exceptional. I would rate them a nine point five out of ten. They provide prompt responses and helpful resources during live calls and through AWS tickets.

Positive

The initial setup of QuickSight is incredibly easy, I'd rate my experience a ten. The only challenge was estimating the cost.

The customers save a lot of money as QuickSight is cost-effective and highly secure in terms of low level security, single sign-on, and overall functionality comparable to Tableau and Power BI.

Pricing could be improved. QuickSight lacks a desktop version, which makes it more suitable for organizations rather than individuals. I'd rate it five out of ten.

I rate Amazon QuickSight as ten out of ten. It is easy to learn, and the QuickSight team provides great support. The solution has significantly contributed to my career growth and offers great career opportunities.

I am creating multiple dashboards. I have created more than one hundred dashboards in QuickSight for various use cases across all the products in our company.

QuickSight offers a very cost-effective reader account model based on session-based costing, making it easy for us to provision accounts for our employees. Additionally, QuickSight is entirely cloud-based, simplifying the access, creation, and provisioning process compared to Power BI. 

The speed at which QuickSight renders data enhances the efficiency, ensuring users do not lose interest due to delays. The range of calculated fields available is very beneficial for data analysis. 

Overall, QuickSight makes it easy to provision, create, and publish dashboards.

QuickSight needs to add more visuals similar to what Power BI offers. I have noticed that many drill-down visuals and other visual options available in Power BI are missing in QuickSight.

I have been using QuickSight for almost six years.

QuickSight's dashboarding platform is quite stable, which is beneficial for any organization.

The scalability of QuickSight is high, and it adapts well to our needs. However, it is unrealistic to expect one single visual to handle thousands of petabytes of data. Within our current expectations, QuickSight has performed well.

The support system depends on the representative you get; sometimes, the support is excellent, while other times, it is below average. Overall, support is good.

Positive

QuickSight was the first reporting platform that I have used. I did look at Power BI, but it seemed unnecessarily complicated to me.

The setup process was straightforward, taking just a few clicks.

QuickSight is considered cost-effective. As far as I know, QuickSight is cheaper compared to other solutions like Power BI.

I evaluated Power BI, but it did not appeal to me due to its complexity.

I would advise users to keep track of their budget, the types of users they have, and whether they're more author or reader-based. 

Also, the choice of reporting solution should consider the data size and the existing environment, such as whether they're using AWS. 

I rate QuickSight a nine out of ten.

We run as a part of our agriculture platform, a lot of web apps and mobile apps. Amazon QuickSight is used in the backend for analytics and data analysis.

We are using Amazon QuickSight as we see at least 30% time savings.

Amazon QuickSight is a SaaS platform where we can run queries and get analytics without installing any software. It works well with the AWS ecosystem.

The cost of queries is very high. Improvements in drill-down ability and evolving it as an OLAP tool would help more.

We have been using it for about one year.

Amazon QuickSight has been stable in the past year.

Our dataset is not very large, so we haven't had scalability issues yet.

Support is satisfactory. Amazon support deserves ten points out of ten.

Positive

For log management, we use an in-house solution and not any third-party product right now.

No installation is required for Amazon QuickSight. Amazon maintains the service.

We see at least 30% time savings.

Competition pricing is high for query processing, however, the Data Lake cost is nominal as it is on top of S3.

I'd rate the solution ten out of ten.