

Tableau Enterprise and Amazon QuickSight compete in the business intelligence and data visualization space. Tableau seems to have an advantage due to its extensive visualization capabilities and flexibility, despite requiring improvements in enterprise features and handling large datasets.
Features: Tableau Enterprise excels with diverse graphical representations, extensive data source integration, and the ability to craft interactive reports with ease, enhancing usability and appeal among users. Amazon QuickSight provides seamless connectivity with AWS and is highlighted for its cost-effectiveness and integration capabilities, particularly benefiting users within existing AWS environments.
Room for Improvement: Tableau needs enhancements in enterprise capabilities, user management, and performance with large data sets. Users also highlight pricing and the need for better support in machine learning and data handling. Amazon QuickSight requires more advanced visualization types, improved dynamic data refresh integration, and features for complex data reporting.
Ease of Deployment and Customer Service: Tableau Enterprise offers flexible deployment across on-premises and various cloud models, receiving praise for its customer service and extensive resources. However, users face cost and setup complexity challenges. Amazon QuickSight, being predominantly cloud-based, simplifies deployment and aligns with AWS services. It is praised for its cost-effectiveness but its customer service is viewed as basic yet improving.
Pricing and ROI: Tableau Enterprise is often seen as expensive, with a varied pricing model, but delivers substantial ROI through its powerful analytics capabilities. Amazon QuickSight is noted for its affordability, especially for AWS users, offering a cost-effective alternative. While it can lead to savings for AWS users, expanding beyond AWS services may incur additional costs.
This saves a significant amount of time, particularly for reports that would have needed around fifty people.
The ROI of using Tableau extends to its seamless integration across various platforms, as it's from Salesforce and thus not limited to any specific cloud provider.
Tableau is saving me time, money, and resources, which I would rate as ten.
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.
I would say at the moment, so far, good in the sense of Amazon's technical support.
They provide quick email and phone responses and have Thai-speaking personnel.
There should be consistent standards for all users.
The technical support for Tableau is quite good.
Tableau is easy to use across various dimensions, whether on-premises or on the cloud.
The solution is fully scalable and performs well even with large datasets, provided there is proper supporting hardware.
Tableau is easy to scale.
The application hangs after continuous use due to the buildup of cache.
I rate the stability a five or six because Tableau updates very often with new versions or patches.
Understanding how AWS charges for Amazon QuickSight usage is critical for all users wanting to visualize their data effectively.
For example, making automation for filling missing data or reformatting incorrect data formats, and making date corrections.
On the analytics side, we are migrating into Amazon QuickSight. One of the products is already migrating, and the rest is in the pipeline.
We cannot send the entire Excel file reports via email within Tableau.
The product owner should enhance its benefits or clarify its role.
It sometimes requires extensive investigation to determine why the data does not appear correctly.
It is not expensive, but it is also not cheap.
Power BI as a much cheaper alternative.
A license for 150 users costs around $17,000 USD per year.
Looker is known to be quite expensive.
The natural language query is very important, and natural language processing is crucial for disseminating dashboards across multiple formats and mechanisms.
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.
Interactive dashboards do help with data analysis.
A significant feature for me is the real-time connection to data sources because it effectively manages large data sets.
Tableau serves as a stable dashboarding tool for higher management, aiding in quick decision-making.
Building hyper extracts and visualization capabilities make Tableau a robust tool for data analysis.
| Product | Mindshare (%) |
|---|---|
| Tableau Enterprise | 6.5% |
| Amazon QuickSight | 2.9% |
| Other | 90.6% |

| Company Size | Count |
|---|---|
| Small Business | 7 |
| Midsize Enterprise | 10 |
| Large Enterprise | 16 |
| Company Size | Count |
|---|---|
| Small Business | 117 |
| Midsize Enterprise | 67 |
| Large Enterprise | 185 |
Amazon QuickSight offers rapid visualization creation, cloud-native AWS integration, ease of use, scalability, and affordability. With strong data connectors and machine learning tools, it supports real-time insights and intuitive data handling.
Amazon QuickSight is designed for fast visualizations, interactive dashboards, and extensive data connectivity, making it suitable for finance and academia. Offering browser-based access and advanced security, it enables organizations to integrate data seamlessly, handling both real-time and historical insights. Despite room for improvement in visuals and integration with other cloud providers, its flexibility and powerful analytics serve diverse reporting needs efficiently.
What are Amazon QuickSight's most important features?Amazon QuickSight is employed in finance and academia, aiding in KPI tracking and analytics through efficient data integration and visualization. It supports strategic business decisions by offering insights from sources such as S3 and MySQL, making it valuable for financial reporting and research needs.
Tableau Enterprise is a leading data visualization tool, empowering users to create custom dashboards and reports with intuitive drag-and-drop functionality and strong security features, supporting business-driven insights.
Tableau Enterprise provides a robust platform for data visualization across industries, offering advanced features like data blending, real-time integration, and geo-spatial analysis. It supports large datasets and simplifies collaboration through role-based security. Challenges include a need for improved ETL capabilities and better scalability. Integration with machine learning and handling of big data platforms could be enhanced. Licensing costs and server performance issues are noted areas for improvement. Despite this, its flexibility and ability to process large datasets make it valuable for decision-making.
What are the key features of Tableau Enterprise?Companies across industries utilize Tableau Enterprise for data visualization and analytics, creating compelling dashboards for social media analysis, financial presentations, operational monitoring, and more. It supports both cloud and on-premises deployment, offering interactive experiences and enhanced decision-making through deep data insights.
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