Table of contents
Scalability
Amazon QuickSight is built on the AWS cloud infrastructure, ensuring it can scale seamlessly with your data needs, from small projects to large enterprise deployments.
Integration with AWS Services
QuickSight easily integrates with other AWS services like S3, Redshift, and RDS, making it a natural choice for organizations already using AWS.
Pay-per-Session Pricing
QuickSight offers a pay-per-session pricing model, which can be cost-effective for organizations with variable or infrequent usage patterns.
Machine Learning Insights
QuickSight includes machine learning capabilities to automatically detect anomalies, forecast trends, and offer deeper insights with minimal manual intervention.
Ease of Use
The platform offers a user-friendly interface that allows users to create and share interactive dashboards and visualizations without extensive technical expertise.
Security
QuickSight follows strong security protocols, benefitting from AWS's comprehensive compliance certifications and data protection mechanisms.
Amazon QuickSight is a strong option for businesses seeking an effective BI tool, especially if they are existing AWS customers. Its seamless integration with other AWS services, flexibility in handling different data sources, and pay-per-session pricing model make it attractive for varying business needs. However, those without an AWS environment or requiring extensive customization might explore other BI tools for a better fit.
We have collected here some useful links to help you find out if Amazon QuickSight is good.
Check the traffic stats of Amazon QuickSight on SimilarWeb. The key metrics to look for are: monthly visits, average visit duration, pages per visit, and traffic by country. Moreoever, check the traffic sources. For example "Direct" traffic is a good sign.
Check the "Domain Rating" of Amazon QuickSight on Ahrefs. The domain rating is a measure of the strength of a website's backlink profile on a scale from 0 to 100. It shows the strength of Amazon QuickSight's backlink profile compared to the other websites. In most cases a domain rating of 60+ is considered good and 70+ is considered very good.
Check the "Domain Authority" of Amazon QuickSight on MOZ. A website's domain authority (DA) is a search engine ranking score that predicts how well a website will rank on search engine result pages (SERPs). It is based on a 100-point logarithmic scale, with higher scores corresponding to a greater likelihood of ranking. This is another useful metric to check if a website is good.
The latest comments about Amazon QuickSight on Reddit. This can help you find out how popualr the product is and what people think about it.
Maybe use Quicksight to then dashboard it? https://aws.amazon.com/quicksight/. Source: about 2 years ago
QuickSight (business intelligence dashboards). - Source: dev.to / over 2 years ago
Based on your 3 requirements, I would recommend Amazon QuickSight. https://aws.amazon.com/quicksight/ Its a Pay as you go model and allows you to scale with your business. You have better control over your assets within and outside your organization. It has Author/Reader roles to control how your dashboards/analysis are consumed. I can help you with quick demo if that helps and potentially help roll out as well if... Source: over 2 years ago
Amazon QuickSight (analytics) Amazon QuickSight is a fast, cloud-powered business analytics service that you can use to build visualizations, perform analysis, and quickly get business insights from your data. Https://aws.amazon.com/quicksight/. - Source: dev.to / over 2 years ago
For BI, there are services like https://aws.amazon.com/quicksight/. Source: over 2 years ago
You will want to use metrics based on operations outcomes to gain useful insights. Now you want to do analytics on your logs and use Cloudwatch Logs Insights or store the logs in Amazon S3, which then triggers an AWS Glue crawler to create an AWS Glue Data Catalog that then can be queried using Amazon Athena using standard SQL. The results can be visualized in Amazon Quicksight. - Source: dev.to / almost 3 years ago
Storing data in S3 has an additional benefit, given how well it integrates with other AWS services. For instance, you can use Amazon Athena to query your S3 data, or Amazon Rekognition to analyze it. Additionally you can use AWS Glue to perform extract, transform, and loan (ETL) operations. To create ad hoc visualizations and business analysis reports, Amazon QuickSight can connect to your S3 buckets and produce... - Source: dev.to / almost 3 years ago
In this second part, I'm going to show you basic steps on how to run analysis on the extracted grocery data. AWS services we are going to use are AWS Athena and Amazon Quicksight. - Source: dev.to / almost 3 years ago
There are cases where you want to connect AWS QuickSight to pull data from Google Sheets to suit your business. In fact many business people love to see data in a spreadsheet instead of having to query database. But, as of today AWS QuickSight doesn't have a Google Sheet connector out of the box. To be able to use Google Sheet as data source we need to make a script to export the data to csv and put it in the S3. - Source: dev.to / about 3 years ago
Amazon QuickSight now enables authors to setup rolling date to dynamically generate dashboard for end users. The rolling date functionality is now available for both date & time range filters and datetime parameters. Users will be able to set up rolling rules to fetch a date, such as today, yesterday, or different combinations of (start/end) of (this/previous/next) (year/quarter/month/week/day) and dynamically... - Source: dev.to / about 3 years ago
Amazon QuickSight AWS BI tool, can ingest data from the Cost and Usage report Ingest the Cost and Usage Report into Amazon QuickSight. - Source: dev.to / over 3 years ago
There are cases where you want to connect AWS Quicksight to pull data from an RDS Database in one of your Private VPCs. Its one of those things that you don’t do often and its just funky enough and different enough from most AWS services that I have had to relearn how to do it each time. So here’s what I’ve learnt for posterity. - Source: dev.to / over 3 years ago
I'd like to introduce you to: ngx-admin AWS Quicksight Domo. Source: over 3 years ago
You may wish to use Amazon QuickSight to produce business intelligence dashboards if your role includes reporting results to your business leaders. - Source: dev.to / over 3 years ago
The following model architecture taken from AWS site allows us to build, train, and deploy a time-series forecasting model leveraging an MLOps pipeline encompassing Amazon Forecast, AWS Lambda, and AWS Step Functions. To visualize the generated forecast, we will use a combination of AWS serverless analytics services such as Amazon Athena and Amazon QuickSight. - Source: dev.to / almost 4 years ago
5. Data visualization is the tool that provides a view of the data for your data consumers. The purpose of Amazon QuickSight is to empower your data consumers (especially the business users) for building their visualization. QuickSight is powered by SPICE (Super-Fast, Parallel, In-Memory Calculation Engine) and provides the possibility to build easily dashboards and share it with other users. As highlighted in... - Source: dev.to / about 4 years ago
For many enterprise grade applications, providing a point where you can access in-depth analysis about your data has become a crucial feature. There are many approaches to this - you can build you own web application and backend that has views allowing customers to filter and analyse data. Alternatively, you can use the embedded analytics capabilities of Looker, Tableau or Sisense - all of which are large... - Source: dev.to / about 4 years ago
Amazon QuickSight is a significant player in the business intelligence (BI) and data analytics industry, offering a cloud-based service integrated within the Amazon Web Services (AWS) ecosystem. This positions QuickSight uniquely, especially for organizations that are deeply entwined with AWS infrastructure, by providing high scalability and seamless integration with other AWS services such as Athena, S3, and Glue. It allows users to create dashboards and perform complex data analyses by leveraging AWS's existing services, which is particularly beneficial for AWS-centric environments.
Public Opinion and Usability
Public discourse around Amazon QuickSight highlights its scalable nature as a cloud-powered BI service designed for rapid deployment and ease of use. QuickSight offers a pay-as-you-go model, which is favored by businesses looking to manage costs effectively while scaling their operations. Furthermore, it is versatile in data connectivity, supporting a variety of data sources including AWS data, third-party databases, and spreadsheets, although it currently lacks a native connector for Google Sheets which requires a workaround.
Feature Set and Integration
The product is celebrated for its integration with other AWS services, making it a powerful tool for data analysis in cloud-centric architectures. Its integration enables users to query and visualize data seamlessly, thus allowing deeper insights. A recent enhancement, the 'rolling date functionality,' adds dynamism to dashboard generation, allowing for automated updates and enhancing the user experience for those who require time-sensitive insights.
Amazon QuickSight stands out due to its foundational technology, SPICE (Super-fast, Parallel, In-memory Calculation Engine), which is designed to handle data ingestion and processing at remarkable speeds. This, combined with its author/reader roles, provides a structured approach to user management and accessibility control.
Challenges and Competitors
Despite its robust capabilities, QuickSight faces competition from established BI tools like Tableau, Microsoft Power BI, and Looker. These competitors often offer more extensive feature sets or superior user experiences in certain areas, such as more interactive visualizations or user-friendly interfaces. Moreover, some users have reported challenges with specific integrations or customizations that may require bearing additional learning curves.
Adoption Considerations
For businesses already investing heavily in AWS, QuickSight represents a logical extension of their data visualization strategy. Its ability to integrate with AWS data sources without necessitating standalone BI infrastructure makes it an appealing option. However, those exploring BI tools strictly for data visualization may compare its offerings against competitors to identify the best fit for their requirements and budget.
Conclusion
Amazon QuickSight provides a robust, AWS-integrated BI solution that empowers users to derive actionable insights with ease and efficiency. The platform's AWS integration, scalability, and recent feature enhancements make it an attractive option for businesses leveraging cloud infrastructure. While it may not outpace its competition in all areas, for AWS-centric businesses, QuickSight offers a comprehensive, viable solution for BI and analytics needs.
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Is Amazon QuickSight good? This is an informative page that will help you find out. Moreover, you can review and discuss Amazon QuickSight here. The primary details have not been verified within the last quarter, and they might be outdated. If you think we are missing something, please use the means on this page to comment or suggest changes. All reviews and comments are highly encouranged and appreciated as they help everyone in the community to make an informed choice. Please always be kind and objective when evaluating a product and sharing your opinion.
