Amazon QuickSight Reviews & Product Details

The best thing I like about Amazon Quicksight is how easily it help turns raw data into intercatibe dashboard and visualisation. It helps detects pattern trends and what is working and what is not. It helps monitor a process effectively. Review collected by and hosted on G2.com.

There are two disadvantages. One it works well only in Amazon ecosystem with AWS it is not that flexible and ui in terms of tool like tableau or power bi. Also it cannot be customized much according to need. Advancced use cases are difficult to solve. Also the tool requires little learning approach and cannot autonaticallu work Review collected by and hosted on G2.com.

New features have been added to Amazon QuickSight, including the new QuickSuite UI. Features like chat/AI search make it easier to learn more about reports, and they help users a lot. Even when there are gaps that weren’t explained in the analysis, it becomes easier for business stakeholders to review and understand the report. This new compatibility with the AI chatbot is great. The new charts that have been added also give more exposure and encourage me to explore QuickSight more as a tool. A lot of seminars have also happened to build more awareness, so overall it feels like a great community. Review collected by and hosted on G2.com.

It still feels limited due to the lack of customization options. I also feel it has fewer chart types than I need, and it could include more chart options overall. Sometimes, depending on the data size, the Spice engine refresh is a bit slow and takes time. Review collected by and hosted on G2.com.

I can create charts and dashboards easily, and it integrates with Redash. It also lets me create calculated columns and metrics, and everything can be updated based on live data. Review collected by and hosted on G2.com.

Downloading data is a bit slow. For example, downloading around 400 MB can take more than 10 minutes. The UI could also be more interactive, and the query language feels a bit different from standard PostgreSQL or MySQL. Review collected by and hosted on G2.com.

Allows me to use AI to generate answers based on my company standard operating procedures. Previous ai chat bots were inaccurate or would not display the correct answer, but Quicksight is much better Review collected by and hosted on G2.com.

Very difficult to set up ai chatbot. I needed to request the help of Amazon IT and took several months to create and use the ai chatbot and another month providing and validating the information generated. Review collected by and hosted on G2.com.

The thing I like about this Is it’s server less, fast and integrates easily with AWS, and it let me create intractive dashboard and I get AI based insights without any heavy setup Review collected by and hosted on G2.com.

The only thing I disklike about quick sight is that the visual customization and advanced features are limited and something it’s difficult for me to understand some features in it Review collected by and hosted on G2.com.

QS provides our company and team with the flexibility to create custom data fields tailored to the specific needs of each department. We use this system multiple times a day, and having access to real-time data is essential for tracking some of our most important metrics. Review collected by and hosted on G2.com.

The only aspect I dislike is the recurring data issues, though our IT department consistently resolves them quickly. Occasionally, I've noticed that refreshing to receive updated data in the morning can take a bit longer compared to the rest of the day. Review collected by and hosted on G2.com.

QuickSight’s integration with the AWS ecosystem is seamless. Connecting to S3, Redshift, or Athena happens in minutes without complex configuration or workarounds. The SPICE in-memory engine delivers fast query performance even with large datasets, which keeps dashboards responsive. I appreciate the natural language query feature (Amazon Q) that allows me to ask questions in plain English and get visual answers without writing SQL. It democratizes access to insights for non-technical stakeholders who need quick answers.

The platform’s embedded analytics capability is a standout feature. I can place dashboards directly into internal applications or customer portals without additional tools. This centralizes data consumption and eliminates the need to jump between platforms. QuickSight also offers built-in machine learning features like anomaly detection and forecasting, which provide advanced insights without requiring custom algorithms. When revenue spikes unexpectedly, the ML engine surfaces an explanation automatically.

The AutoGraph feature intelligently recommends chart types based on data field characteristics. This removes guesswork for team members who aren’t visualization experts and ensures consistency across reports. Security is robust with role-based access controls, single sign-on, and comprehensive auditing. QuickSight supports FedRAMP, HIPAA, PCI DSS, ISO, and SOC compliance, which covers most regulatory requirements. Review collected by and hosted on G2.com.

QuickSight lacks the visualization variety found in Power BI or Tableau. Gantt charts, candlestick charts, and comparative high-low charts are missing, which limits design flexibility for specific use cases.

The data model approach differs from traditional BI tools in a way that feels restrictive. Instead of building relationships between fact and dimension tables, I often need to create large denormalized datasets with repeated data. This makes data preparation more cumbersome and less efficient. Review collected by and hosted on G2.com.

It is a cloud-based business intelligence and data visualization service that helps the company to analyze data, create dashboards, and share insights. It has a fast in-memory engine to process data quickly even with larger data sets. Its interface is easy to use and easy to implement. Review collected by and hosted on G2.com.

It is limited pre-built visualizations compared to other tools; its initial setup is complex and complicated. The data transformations are limited. Its customer service is also not that strong. Review collected by and hosted on G2.com.

It’s easy to connect, serverless, and works really well with Athena. Creating dashboards is straightforward, and sharing them with stakeholders is simple. It also handles S3 data really well. Overall, it’s a very nice experience. Review collected by and hosted on G2.com.

QuickSight drawbacks include limited visual options, rising costs, a complex advanced setup, slower Athena queries, and lock-in to the AWS ecosystem. Also, if you’re working only with Athena tables, keeping the data updated can be really difficult. Review collected by and hosted on G2.com.

What I value most about Amazon QuickSight is how effortlessly it allows me to create visualizations and dashboards directly from raw, unprocessed data. The user interface is both intuitive and easy to navigate, which makes integrating with AWS services a smooth process. For instance, accessing data from S3 or Redshift is especially convenient. I use Amazon QuickSight regularly for my daily work tasks as well as for personal projects. Furthermore, the customer support has been excellent, and setting up data analytics with Amazon QuickSight is both straightforward and accessible. Review collected by and hosted on G2.com.

One aspect I find frustrating about Amazon QuickSight is that certain customization options are less accessible than in other Business Analytics tools. At times, even straightforward tasks such as modifying layouts or making small adjustments require more effort than I would anticipate. Review collected by and hosted on G2.com.