Amazon QuickSight Reviews & Product Details

It integrates smoothly with AWS services, and the SPICE engine make it easy to connect and fast to execute. Implementing dashboards on top of Redshift with QuickSight is really easy. I also value RLS which makes it easier to manage permissions. Review collected by and hosted on G2.com.

It also lacks advanced analytics, flexible filtering options, and deeper customization. When you encounter a problem, it is terribly hard to find a solution. Online guides are not detailed enough, and amazon community forums don’t provide much information. Review collected by and hosted on G2.com.

I really loved the dashboard gallery, how it is organized and how each dashboard is described with the right topic to enable viewers who are interested in them to view wihtout losing interest.

I also love the variety of features provided that are available to potential customers and the customer enablement section that offers training and certification for persons interested. Overall, i would definitely recommend to anyone interested in pursuing a career in Cloud computing or any tech related role. Review collected by and hosted on G2.com.

I haven't really used it long enough to find any disadvantages. So, at this moment, I have none. Review collected by and hosted on G2.com.

I like how easy it is to turn raw data into clean, interactive dashboards without needing too much technical knowledge. It’s fast, user-friendly, and works well even with large datasets. Review collected by and hosted on G2.com.

Sometimes the customization options for visuals feel a bit limited compared to other tools. It would be nice to have more flexibility with charts and layout designs. Review collected by and hosted on G2.com.

One of the best things about Amazon QuickSight is how perfectly it integrates with other AWS services. If you're already in the AWS ecosystem, getting started is fairly straightforward, and data sources like Redshift, S3, RDS, and Athena connect easily. The performance with SPICE is impressive, allowing for fast querying and snappy dashboards even with large datasets. The visuals themselves are modern, clean, and interactive. I like the ability to build dashboards that are not only informative but also visually appealing without too much effort. The embedding capabilities are a major plus for integrating dashboards into internal applications. Cost-wise, the pay-per-session model is also smart, especially for organizations looking to scale without overpaying for infrequent users. Review collected by and hosted on G2.com.

The user interface could be more intuitive. There’s a learning curve, especially for new users or non-technical stakeholders who aren’t familiar with AWS products. Some simple actions, like formatting visuals, adjusting filters, or customizing dashboard layout, take more clicks or steps than you’d expect. Documentation has improved but can still feel fragmented at times. Another downside is the limited customization of visuals compared to other BI tools like Tableau or Power BI. While it covers the basics well, power users might find the chart types and formatting options a bit restrictive. Also, support for more advanced calculated fields and data transformation within QuickSight is still evolving and sometimes requires working around with pre-processed data. Review collected by and hosted on G2.com.

It connects really well with other AWS tools we use, and it’s super fast when using SPICE. I also like that we don’t have to manage any servers; it just works. I haven't used much customer support, as docs are helpful. The features cover most of the needs but aren't super advanced. It is easy to integrate and implement with other AWS stuff. I use it a few times in a month Review collected by and hosted on G2.com.

The visuals feel a bit limited, and it’s not the most beginner-friendly if you're new to AWS. Live queries can lag a little too. Review collected by and hosted on G2.com.

UI to create custom datasets with different data sources. Also, if you already handle the DB and infrastructure with AWS services, it is easier to get data tables and ingest the data. SPICE feature is great if you are looking for ways to reduce infrastructure cost while performing queries becasue you can have snapshots of the data at a required frequency. Review collected by and hosted on G2.com.

Native multi language feature is not available though, not even an AI-generated translation of my analysis and dashboards are available Review collected by and hosted on G2.com.

Cost-Effective Pricing – Pay-per-session model reduces costs for infrequent users.

Serverless and Scalable – No need for infrastructure management.

AWS Integration – Works seamlessly with S3, Redshift, Athena, RDS, and more.

ML Insights – Automatic anomaly detection and forecasting.

QuickSight Q – Natural language querying for easier data access.

Embedded Analytics – Can integrate with applications for external users. Review collected by and hosted on G2.com.

Limited Customisation – Compared to tools like Tableau, customisation options are somewhat restricted.

Basic Visuals – Visualisation options are not as advanced as competitors like Power BI.

Performance on Large Datasets – Can lag when handling very large datasets in certain cases.

Complex Security Configurations – Permissions and access management can be tricky, especially for embedded dashboards. Review collected by and hosted on G2.com.

I appreciate how QuickSight simplifies the process of creating dashboards and visualizing data efficiently. The platform is fast, integrates seamlessly with AWS services, and eliminates the need for me to handle server management or updates. Review collected by and hosted on G2.com.

Overall, this is a good tool, but I find the customization options somewhat limited. At times, it can be challenging to make dashboards appear exactly as I envision or to create more advanced visual logic. Review collected by and hosted on G2.com.

User-Friendly for Non-Coders: You don’t need to write SQL or Python to get started. The interface is intuitive and welcoming, even for beginners.

Flexible Data Upload: Whether your data is stored on your laptop, in the cloud, or in a database, QuickSight makes it easy to connect and upload from multiple sources.

Clean, Insightful Visualizations: With just a few clicks, I was able to create clear and interactive dashboards that help tell the story behind the data.

Natural Language Queries: One of my favorite features — you can ask questions in plain English and get visual answers. Perfect for quick, ad-hoc analysis.

Built-in Machine Learning: The auto-analysis features like anomaly detection and forecasting add real value without needing advanced knowledge. Review collected by and hosted on G2.com.

Learning Curve at First: Even though it’s beginner-friendly, some parts (like calculated fields or dataset joins) take a little time to understand.

Limited Customization in Some Visuals: Compared to tools like Tableau or Power BI, there are slightly fewer customization options for advanced users. Review collected by and hosted on G2.com.

It is quite easy to create dashboards with this software compared to others available on the market. Review collected by and hosted on G2.com.

The learning curve for the advanced features is quite steep, and I also find the customization options to be somewhat limited. Review collected by and hosted on G2.com.