Home > Business Intelligence Tools > QuickSight > QuickSight vs Klipfolio

QuickSight vs Klipfolio

Last Updated: November 18th, 2024

Our analysts compared QuickSight vs Klipfolio based on data from our 400+ point analysis of Business Intelligence Tools, user reviews and our own crowdsourced data from our free software selection platform.

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Product Basics

Amazon QuickSight is a business intelligence tool that enables organizations to visualize and analyze data, derive insights, and make informed decisions. It empowers users with interactive dashboards, data exploration capabilities, and machine learning-driven insights, making it an ideal solution for businesses seeking to leverage data for better outcomes.

The benefits of Amazon QuickSight include its ease of use, fast performance, and scalability to handle large datasets. Its popular features include natural language querying, automated insights generation, and integration with other AWS services. Compared to similar products, Amazon QuickSight stands out for its affordability, ease of deployment, and robust feature set.

Pricing for Amazon QuickSight is based on a per-user, per-month subscription model. It offers flexible pricing options to accommodate varying business needs, ensuring cost-effectiveness and scalability as organizations grow.

Klipfolio is an analytics software tool that helps users wield data intelligently and confidently by building dashboards and reports that track KPIs and monitor trends. Users can glean insights from information across the organization collected in one convenient place and deploy interactive data visualizations that they can share with ease.

It is available through an annual or monthly subscription to one of four plans: Publish, Grow, Team and Team+. The number of dashboards and users allowed, as well as the data refresh rate and level of support varies depending on the pricing plan selected.

$5/User, Monthly

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$3,000 Annually, Freemium

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Product Insights

Self-Service BI: Get answers to questions and share insights independently through self-service analysis of business data. Connect to data sources, manipulate values to create visualizations, invite others to collaborate and share dashboards and reports — all without the need to install any application.
Multi-Tenancy: Its multi-tenant architecture with namespaces allows vendors to provide data exploration and dashboarding capabilities for multiple applications at the same time. Host multiple clients and add templates created and shared by dashboard authors to the proprietary visualizations library.
Embedded Analytics: Embed dashboard sessions into proprietary software to enhance business with console analytics. Personalize the appearance of visualizations and reports by adding custom fonts, colors and styles. Set defaults and error handling to match the host application for a cohesive feel.
Report Sharing: Stay informed as to how key metrics are performing by scheduling automatic email updates. Ensure secure access to dashboards and email reports by showing only relevant data through targeted reports.
Flexible Pricing: Save on upfront costs and capacity planning through its p ay-as-you-go pricing model for report consumers — people who view dashboards, but don’t create them.
Mobility: Get data insight and forecasting summaries on-the-go through its mobile version, available on both iOS and Android. Drill down into mobile-optimized dashboards and reports for in-depth analysis and filter to view specific metrics, even when away from the office. Share results with others and get email alerts for changes in business data as they happen.
Automate Deployments: Deploy applications at scale, keeping them online for continued access while minimizing downtime. AWS CodeDeploy provides automated app deployments to multiple cloud compute services, such as Amazon EC2, AWS Fargate, AWS Lambda, and on-premise servers. Seamlessly integrates with continuous delivery process pipelines, such as AWS CodePipeline, GitHub and Jenkins.
Promote Data Literacy: Identify key metrics, perform what-if analysis through simple point-and-click actions, discover hidden trends and generate forecasts — without needing any technical skills. Generates dashboard summaries in easy-to-understand language to enable shared understanding of data insights.
Scalable: Its serverless architecture makes it easily scalable, ensuring fast loading of dashboards even during peak traffic. Scales as the organization grows to take on larger loads — no need to set up dedicated servers.
Data Security: Its Enterprise version provides additional security features through permissions-based access to AWS data, row level security, SSO and data encryption. It is FedRamp, HIPAA, PCI PSS, ISO and SOC compliant, keeping with industry best practices.

Faster Decisions: Enables faster and better data-driven decision making with a dashboarding tool that shows meaningful KPIs first.
Ease of Use: Quickly upload and analyze data with dashboards with a simple architecture on the back-end — no coding required.
Simplified Data Sets: Create a range of data visualizations from a single data source, or a single visualization from a range of data sources. Pull raw data directly into the dashboard, removing complicated organization and exploration steps.
Integration with BI Tools: Make analytics reporting and visualization easier by integrating with traditional enterprise BI tools like Tableau, Domo, Qlik, Looker and Microsoft Power BI to enhance the data they hold.
Holistic BI: Get a more comprehensive view of business metrics across data sources and brand performance on social media, all collected and displayed in one place through data connectivity and data merging.
Data Visibility: Gain visibility into business data and understand where the business is at via real-time dashboards and reports.
Analytics On-the-Go: Retrieve data from the cloud-based architecture any time, anywhere with an internet connection, unlike on-premise solutions. Access the platform via a native app for both iOS and Android mobile devices as well as via web browsers.
Boost Collaboration: Align all stakeholders and employees with organizational goals by collaborating and sharing data with others internally and externally, whether in real time or periodically.
Scalability: Pay only for the required level of functionality and upgrade, downgrade or cancel the plan at any time. Add additional dashboards to any plan at a flat rate or consult the support team for a custom solution that can support hundreds to thousands of dashboards at once.
Free Trial: Test it firsthand through a free 14-day trial.

Data Connectivity: Connect to a multitude of cloud-based and on-premise data sources such as Salesforce, JIRA, Github, Teradata, MySQL, SQL Server, Postgres and many more, or upload data from Excel, JSON, CSV and Presto files.
Integrations: Perform predictive data analysis by integrating Amazon Sagemaker ML-based data models with its supported data sources, such as S3, Athena, Redshift, as well as third party sources that include Salesforce and JIRA, among others. Easily integrates with BI tools such as Domo and Tableau for data querying through an intuitively similar SQL interface.
Data Visualization: Create interactive visualizations and reports by choosing from a rich library of graphs, charts and tables. Build dynamic dashboards by interacting with data in real time through drag-and-drop, drill-down and filtering options.
Reporting: Its Enterprise edition provides ad-hoc as well as scheduled reporting to share targeted reports on a daily, weekly or monthly basis. Subscribe to receive reports via email. Creates a custom snapshot of the report based on individual data permissions.
In-Memory Engine: Perform calculations and analyses at the speed of thought by querying through its super-fast parallel in-memory calculation engine, SPICE. Built from the ground up, it prepares data faster by replicating it in memory and updates in real-time as the underlying data changes.
Dashboards: Create data dashboards with 28 supported charts, such as filled maps, histograms, funnel charts, stacked area charts, waterfall charts and boxplots, as well as tables and pivot tables. View information based on business context by sorting on fields not shown in the visualization. Provide report readers with on-sheet controls to slice and dice data by filtering on fields. Offers multiple report layout customization options that include adding drop-downs with single-select or multi-select sorting.
ML-Based Insight: Get in-depth data insights through its out-of-the-box ML and NLP capabilities. Perform queries on data in seconds in simple language through its natural language attribute, Q. It learns from data patterns to provide accurate predictions based on historical trends. Detect anomalies and variations in data aggregates through scheduled anomaly detection.
Localization: Available as a global solution with support for 10 major languages: English, German, Spanish, French, Italian, Portuguese, Japanese, Korean, Simplified Chinese, and Traditional Chinese.

Data Connectivity: Retrieve data from thousands of different data sources with hundreds of built-in data connectors that include many of the most commonly sought-after data points. Connect to even more types of data with custom queries made through open web services. Or, pull data from SQL databases by uploading files the old-fashioned way and establishing FTP server connections.
Insight into Social Media: Blend social media data with other proprietary business data to interpret and present brand performance on social platforms such as LinkedIn, Twitter, Facebook and more.
Automated Data Retrieval: Automate data retrieval for visualizations from a range of data sources that automatically update on detecting a change in users’ data. Refreshes every 30 minutes by default, but can refresh at a faster rate on certain subscription plans.
Data Merging: Mash up information from disparate data sources to create insights that track desired KPIs with a more holistic view of business performance.
Data History With PowerMetrics: Leverage PowerMetrics to track and store multi-dimensional data points for metrics and provide continuous insights into current and historical information even for data services that don’t offer history, i.e. social media feeds. Explore historical trends by comparing time periods.
Data Visualizations: Maximize a dashboard’s visual impact by choosing from 15 different types of customizable visualizations.
Self-Service Interactivity: Deep-dive into dashboards by filtering and segmenting data by specific dimensions or adjusting date ranges. Gain context from insights with automatic trend lines and applied actions like grouping, filtering, aggregating and sorting.
Pre-built and Customizable Dashboards: Easily create dashboards by choosing a pre-built dashboard from a range of template options or create an entirely customized one.
Targets and Indicators: Keep track when metrics fall below or reach conditional pre-set thresholds with notifications and indicators that alert of both trends and potential issues or successes.
Sharing: Share access to dashboards and visualizations with a single click and download them as images or PDFs for sharing across social media or messaging apps. Set up scheduled reports to be distributed to a specific list of members on a regular basis. Embed dashboards into websites or other applications, display on TVs, or make them public for easy visibility with custom generated URLs.
Search Function: Search for data points, visualizations or dashboards using natural query language (NQL) search function, similar to how one would search using Google or other search engines.

Product Ranking

#80

among all
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#19

among all
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Analyst Rating Summary

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User Sentiment Summary

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Klipfolio has a 'excellent' User Satisfaction Rating of 93% when considering 578 user reviews from 5 recognized software review sites.

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Awards

Synopsis of User Ratings and Reviews

Self-Service Analytics: QuickSight empowers business users to create and customize visualizations, dashboards, and reports without relying on IT or data scientists.

Cloud-Based Platform: QuickSight's cloud-based architecture eliminates the need for costly on-premise infrastructure and provides seamless access from anywhere with an internet connection.

Scalability and Performance: QuickSight handles large datasets efficiently, allowing users to analyze vast amounts of data in real-time.

Easy Integration: QuickSight seamlessly integrates with popular data sources, including Amazon Redshift, Amazon Aurora, and Salesforce, enabling users to access and analyze data from various systems.

Machine Learning Capabilities: QuickSight leverages machine learning algorithms to provide predictive analytics, anomaly detection, and automated insights, empowering users to uncover hidden patterns and make data-driven decisions.

Collaboration and Sharing: QuickSight facilitates collaboration among teams by allowing users to share dashboards, reports, and insights securely.

Data Management: Approximately 94% of users who mentioned data preparation said that the platform helps create focused data models to power insightful and dynamic project dashboards.

Data Source Connectivity: Around 81% of users who mentioned its integration capabilities said that the tailored integration options of the platform are complemented by easy-to-use APIs and SQL queries to pull data from disparate data sources.

Functionality: Approximately 79% of users who reviewed its functionality said that the platform has a multitude of features for self-service data analysis to efficiently acquire valuable business insights.

Service and Support: Around 96% of users who reviewed support services said that they were very responsive and helpful, with fast turnaround times.

Cost: The free trial period is a big plus, and the solution gives value for money, approximately 81% of users who reviewed the tool’s cost said.

Pricing Structure: Complicated pricing model that can lead to unexpected costs for advanced features and usage.

Limited Customization: Pre-built dashboards and visualizations may not fully meet specific business requirements, limiting customization options.

Data Connectivity: May not seamlessly integrate with all data sources, requiring additional effort for data preparation and ingestion.

Limited Advanced Analytics: Lacks certain advanced analytical capabilities, such as predictive modeling and machine learning algorithms, which may be essential for deeper insights.

User Interface: Some users find the user interface to be cluttered and not as intuitive as other BI tools, impacting the ease of use.

Speed: All users who reviewed its speed say that the platform is slow to load, with noticeable latency in data refresh.

Steep Learning Curve: Approximately 78% of users who reviewed training say that there is a steep learning curve to the platform, especially for formulas and functions.

Amazon QuickSight has received positive user reviews for its ease of use, intuitive interface, and quick data visualization capabilities. Users find it simple to connect to data sources, create dashboards, and generate insights. The drag-and-drop functionality and pre-built templates make it accessible to users of all technical skill levels. QuickSight's strengths include its integration with other Amazon Web Services (AWS) products, such as Amazon Redshift and Amazon S3, allowing for seamless data analysis. It also offers advanced features like machine learning-powered insights and natural language querying, providing users with deeper analytical capabilities. Compared to similar products, QuickSight is praised for its cost-effectiveness and scalability. Users appreciate its pay-as-you-go pricing model and the ability to handle large datasets without performance issues. However, some users have expressed concerns about the limited customization options and the lack of certain advanced features found in competing products. Overall, Amazon QuickSight is well-suited for businesses and organizations looking for an easy-to-use and affordable business intelligence solution. Its intuitive interface, integration with AWS products, and scalability make it a valuable tool for data visualization, analysis, and decision-making.

Klipfolio is a business intelligence tool that empowers users to visualize, analyze and share business data to track product trends. With powerful data querying capabilities via SQL and APIs, the solution integrates well with a multitude of applications. Users leverage its rich visualization libraries and strong data modeling capabilities to create impactful data dashboards, though some users said that the platform was sometimes buggy and had a limited scope in managing complex KPIs. With its vast range of features, users create and share reports on data that matters via URLs, PDFs, scheduled emails and snapshots to power decision-making processes. Approximately 96% of users who mentioned the platform’s support services said that the team was helpful and responsive. Most of the users who mentioned pricing said that the solution was affordable for organizations of all sizes and provided value for money. The solution does have some limitations though. All users who reviewed it for speed said that the platform slowed down, especially when applying filters, large file uploads and data refresh. Of users who reviewed its data integration capabilities, some said that the data source limit of 10 MB that comes with certain pricing plans can be limiting, especially when working with larger Excel and CSV files. Of users who mentioned cost, a few said that the additional fee for the periodic data refresh feature was a burden, though the introductory free trial offer could be quite attractive for new users. In summary, Klipfolio is a web and cloud-based BI solution that offers a range of data integration, KPI monitoring and dashboarding capabilities to empower data-driven decision-making across organizations.

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