Amazon Quick Reviews & Product Details

It is a web based application so we don't need any storage in our system. It can connect to multiple data sources like Teradata, redshift, S3 etc. It's spice data connection method is fast and effective for large data. It can integrated with other amazon services. we can create n number of analysis and publish the dashboard easily. It is very easy to use and its GUI is user friendly. Review collected by and hosted on G2.com.

One thing I did not like about Quicksight is, we can not create more than 20 dashboard or tabs in one analysis. Also each time we need to have good internet connection to access this application. And sometime large dataset took good amount of time to load data in analysis. Review collected by and hosted on G2.com.

QuickSight offers efficient and scalable analytics with an easy connection to AWS data sources, ideal for data professionals working in cloud environments. Review collected by and hosted on G2.com.

The best part of Amazon QuickSight is its seamless integration with AWS services like S3, Athena, and Redshift, making it effortless to access and analyse data from various sources. The pay-per-session pricing model is cost-effective for organisations with varied usage needs. I also appreciate the SPICE engine, which provides fast, in-memory data processing for interactive dashboards and reports. Its ML-powered insights feature is particularly useful in identifying trends and outliers without manual analysis. Review collected by and hosted on G2.com.

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 without 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 because 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.