KNIME vs Klipfolio

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Our analysts compared KNIME 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.

KNIME Software Tool

Product Basics

KNIME is an open-source end-to-end data analytics solution. It utilizes visual workflows with drag-and-drop functionality and thousands of nodes to lessen the data analytics learning curve data, with more than 1,800 prebuilt default workflows for streamlined setup.

It allows for data ingestion, preparing, cleansing, analyzing and visualizing. It can be scaled for deeper analytics through integrations with sophisticated data modeling capabilities. It can be hosted on-premise or in the cloud through Microsoft Azure.
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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.
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$0 Open-Source
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$3,000 Annually, Freemium
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24/7 Live Support
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24/7 Live Support

Product Insights

  • Open-Source: Join a network of thousands of users, enabling collaboration and support. The source code is free to download and access.  
  • Free To Use: Save money by getting access to all of the platform’s features for free. Licensed productivity and collaboration extensions are available at a cost. 
  • Increased Business Intelligence: Get digestible, actionable data to make informed business decisions. Aggregating large datasets into predictive and prescriptive models via comprehensive visualizations and summary statistics gives users projections for the best course of action.  
  • Scalable: Obtain access to big data by scaling up the project in-platform. Integrations to distributed and multi-threaded data processing allow projects to grow. 
  • End-To-End Analytics:  It is capable of handling some tasks from start to finish without integrations. Additional integrations may be required for increasing scale and completing more sophisticated analytics. 
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  • 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.
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  • Sharing and Collaboration: KNIME Hub is an online repository for existing workflows, nodes and extensions that can be easily installed into a user’s workflow. Upload workflows and search for the components needed for projects. 
  • In-database or Distributed Processing: Process data in-database or through a distributed cluster like Apache Spark for increasing scale. It has prebuilt workflows for in-database processing, like SQL Servers. 
  • Model Predictions and Validation: Using machine learning and AI, produce predictive and prescriptive models. Use performance metrics such as AUC and R2 to verify models.  
  • Visual Workflows: Using a drag-and-drop interface, compose a workflow with little to no coding. Prebuilt generic workflows and components can be downloaded from KNIME Hub. 
  • Data Management: Handles all steps of the extract, transform and load processes. It can ingest, blend, prepare, cleanse and store structured and unstructured data. It can combine data types, including PDF, JSON, CSV and unstructured types like documents and images. 
  • Data Visualizations: Compile analyses into reports with heat graphs, bar charts, scatter plots and more. Visualizations can be exported as PDFs, PowerPoints or other formats.  
  • Tool Blending: Tools with unique domains can be combined within a workflow via native nodes. These include Python or R scripting, processing connectors, machine learning and AI. 
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  • 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.
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Product Ranking

#89

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#19

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Business Intelligence Tools

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User Sentiment Summary

Great User Sentiment 236 reviews
Excellent User Sentiment 578 reviews
89%
of users recommend this product

KNIME has a 'great' User Satisfaction Rating of 89% when considering 236 user reviews from 4 recognized software review sites.

93%
of users recommend this product

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

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4.7 (28)
4.3 (41)
4.6 (165)
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4.73 (169)
4.6 (18)
4.7 (164)
4.6 (139)
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3.9 (38)
4.6 (52)

Awards

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Klipfolio stands above the rest by achieving an ‘Excellent’ rating as a User Favorite.

User Favorite Award

Synopsis of User Ratings and Reviews

Functionality: It provides a comprehensive set of nodes and functions to process large quantities of data, as noted by 69% of users who referred to functionality.
User Friendly: It is intuitive and easy to use, as noted by 79% of reviewers who refer to ease of use.
Connectivity: Around 77% of users who talked about connectivity mentioned its ability to seamlessly connect and integrate with multiple sources.
Cost: All users were happy that the solution is available free of charge, with no data limits.
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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.
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Performance: Nearly 95% of reviewers who mentioned performance said that the solution runs slowly and uses too much CPU and memory.
Visualization: Approximately 67% of users who specified visualization talked about its lack of proper visualization options.
Support: About 67% of users who reviewed support mentioned how hard it is to get proper documentation or support.
Learning Curve: KNIME has a steep learning curve, according to about 64% of users who mentioned the learning curve.
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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.
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KNIME is a robust open-source solution with cross-platform interoperability. It integrates with a range of software, such as JS, R, Python and Spark. With a variety of nodes and functions, it can process large datasets with a decent level of control in each step. Workflows are displayed as connected nodes, making it easy to isolate and fix specific steps. It also contains built-in tools to create and test supervised and unsupervised machine learning models. Users found the UI very intuitive and flexible. On the flip side, they found the tool visually lacking and primitive. The system also has performance and stability issues. Processing big data is very time consuming since the platform isn’t cloud-based. Users reported excessive memory usage as well. It also lacks reporting or monitoring features. Decent technical knowledge is required to fully leverage its capabilities.

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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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