KNIME vs Chartio

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Our analysts compared KNIME vs Chartio 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
Chartio 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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Chartio (acquired by Atlassian) was a cloud-based data analytics solution founded with the mission to make data accessible to anyone. It allows users to blend and process data from numerous sources into a single operational database and write queries through a drag-and-drop visual SQL interface. Via self-service analysis, it empowers users to discover actionable insights that provide answers to their questions. Its data visualizations and interactive dashboards help drive data-informed decision making.

It is available on a per-user monthly subscription basis, with three tiers of pricing: Startup, Growth and Premium.
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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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  • Make Data Accessible to All: Unlocks data analysis for everyone in an organization through an intuitive interface, interactive dashboards and a free self-learning library of resources. Reduce reliance on analysts or engineers with do-it-yourself access.
  • Get Connected in Minutes: Connect to unlimited sources within minutes and have the platform visualizing data within hours. 
  • Empower Data Teams: Analysts with technical knowledge can focus their time and efforts on building complex models and writing scripts instead of pulling basic reports for their managers. 
  • Speedy SQL: Write and edit queries faster than by manual input within the visual SQL interface. Set up repeatable workflows to speed up analysis, resulting in accelerated time to insight.
  • Improve Collaboration: Fosters teamwork around data — chat on dashboards, easily embed or send insights that are designed to be shared with others and spark conversations to align teams and clarify goals.
  • Security: Built with security in mind at every step, with SOC 2, HIPAA, Privacy Shield and GDPR certifications. Encrypts all data at rest and in flight, using industry-standard HTTPS to keep data safe and secure. Manage data access through secure login with Google Apps, SAML compatibility and role-based permissions for granular control. 
  • Scalability: Draw, blend and analyze data from wherever it lives and connect to as many sources as needed as the company grows. Scale up or down with a flexible pricing model — pay for exactly what is necessary.
  • Expert Support: Take advantage of an abundance of resources available both on the vendor’s website and through their support team, with extensive documentation and on-demand training sessions.
  • Free Trial: Sign up for a 14-day free trial to try it out for free.
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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: Integrates directly with most major sources, including Amazon Redshift, Google BigQuery, Google Sheets, MySQL, PostgreSQL, Snowflake, Amazon Athena, Amazon Aurora, Amazon RDS, CSV file uploads, Microsoft Azure, Microsoft SQL Server, Oracle and more. Databases remain secure as the solution maintains read-only access either through direct, encrypted cloud connections or SSH tunneled connections to cloud, hybrid or on-premise environments.
  • Data Blending: Draws data from multiple data sources to a single central database without altering the source data.
  • Visual SQL: Anyone can have the power of an analyst and form SQL queries with an intuitive drag-and-drop interface — no coding necessary. Explore, transform and visualize data. Makes data analysis more accessible for all while making more complex SQL analysis easier for pros, who can toggle to the raw text-based SQL editor at any point.
  • Data Visualizations: Build visually appealing charts and graphics that identify trends, patterns and outliers within datasets. Customize visualizations in any way, with chart options including area charts, bubble maps, bar charts, line charts, maps, pie charts, funnel charts, scatter plots, tables and more. 
  • Auto Chart Wand: Click the wand icon to auto-select the most suitable chart type for the data. 
  • Customizable Dashboards: Design interactive dashboards that provide the perfect portal for all crucial metrics in one place. Customize the layout and details of dashboards, and then save these styles as custom themes for other team members to use — or select from a variety of pre-set options.
  • Intuitive Data Exploration: Hover over charts to explore metrics, click on charts to drill down into filters and scroll around a dashboard to engage with visualizations. Dig deeper with slice and dice filters, sorting options and search capabilities. 
  • Snapshots: Automatically saves a PDF copy of selected dashboards at pre-set daily times. Travel through time to review historical data, track how metrics have changed and save information, maintaining accurate records for audits.
  • Comment on Dashboards: Invite teammates to join dashboards and control their level of editing access. Discuss insights, exchange feedback or request help through inline commenting and mention tagging, without leaving dashboards. Stay informed of new replies and mentions through email notifications and in-app alerts.
  • Sharing Options: Embed a real-time interactive version of a dashboard into other applications or sites with a customizable code snippet. Share dashboards via scheduled email alerts or download them in various file formats like PDF, PNG or SVG for optimal sharing and collaboration. Connect to Slack and share insights directly to team channels or conversations.
  • Alerts: Schedule a query to run at designated intervals and if the value returned meets a specified threshold, designate an email alert to send to any party, licensed or not. Integrate alerts with email, third-party automation software, or slack. 
  • Permissions: Establish teams for each department — for example, sales, marketing, support, etc. — and assign permissions for dashboards and data sources to the entire group. Manage permissions on an even more granular level, down to a per-user basis.
  • Data Connectivity: Integrates directly with most major sources, including Amazon Redshift, Google BigQuery, Google Sheets, MySQL, PostgreSQL, Snowflake, Amazon Athena, Amazon Aurora, Amazon RDS, CSV file uploads, Microsoft Azure, Microsoft SQL Server, Oracle and more. Databases remain secure as the solution maintains read-only access either through direct, encrypted cloud connections or SSH tunneled connections to cloud, hybrid or on-premise environments.
  • Data Blending: Draws data from multiple data sources to a single central database without altering the source data.
  • Visual SQL: Anyone can have the power of an analyst and form SQL queries with an intuitive drag-and-drop interface — no coding necessary. Explore, transform and visualize data. Makes data analysis more accessible for all while making more complex SQL analysis easier for pros, who can toggle to the raw text-based SQL editor at any point.
  • Data Visualizations: Build visually appealing charts and graphics that identify trends, patterns and outliers within datasets. Customize visualizations in any way, with chart options including area charts, bubble maps, bar charts, line charts, maps, pie charts, funnel charts, scatter plots, tables and more. 
  • Auto Chart Wand: Click the wand icon to auto-select the most suitable chart type for the data. 
  • Customizable Dashboards: Design interactive dashboards that provide the perfect portal for all crucial metrics in one place. Customize the layout and details of dashboards, and then save these styles as custom themes for other team members to use — or select from a variety of pre-set options.
  • Intuitive Data Exploration: Hover over charts to explore metrics, click on charts to drill down into filters and scroll around a dashboard to engage with visualizations. Dig deeper with slice and dice filters, sorting options and search capabilities. 
  • Snapshots: Automatically saves a PDF copy of selected dashboards at pre-set daily times. Travel through time to review historical data, track how metrics have changed and save information, maintaining accurate records for audits.
  • Comment on Dashboards: Invite teammates to join dashboards and control their level of editing access. Discuss insights, exchange feedback or request help through inline commenting and mention tagging, without leaving dashboards. Stay informed of new replies and mentions through email notifications and in-app alerts.
  • Sharing Options: Embed a real-time interactive version of a dashboard into other applications or sites with a customizable code snippet. Share dashboards via scheduled email alerts or download them in various file formats like PDF, PNG or SVG for optimal sharing and collaboration. Connect to Slack and share insights directly to team channels or conversations.
  • Alerts: Schedule a query to run at designated intervals and if the value returned meets a specified threshold, designate an email alert to send to any party, licensed or not. Integrate alerts with email, third-party automation software, or slack. 
  • Permissions: Establish teams for each department — for example, sales, marketing, support, etc. — and assign permissions for dashboards and data sources to the entire group. Manage permissions on an even more granular level, down to a per-user basis.
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Product Ranking

#89

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#43

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User Sentiment Summary

Great User Sentiment 236 reviews
Great User Sentiment 343 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.

89%
of users recommend this product

Chartio has a 'great' User Satisfaction Rating of 89% when considering 343 user reviews from 5 recognized software review sites.

n/a
5.0 (11)
4.3 (41)
4.5 (246)
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4.6 (34)
4.6 (18)
n/a
4.6 (139)
4.4 (5)
3.9 (38)
3.9 (47)

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 Analysis: All of the users who reviewed this platform for data analysis said that it delivers valuable, accurate insights and a variety of options for digging deeper.
Ease of Use: Of the reviews which mentioned ease of use, more than 88% said that this is an excellent tool for non-technical users, with an intuitive user interface.
Data Visualization: About 80% of users who reviewed this feature said that the solution does a good job of visualizing data and metrics to facilitate easy understanding.
Navigation: It is easy to navigate through different tools and options in the system; as observed by 60% of users who talked about navigation.
Collaboration: Of the reviews which referenced its sharing and collaboration features, more than 91% said it excels in bringing users together and empowering a data-driven culture.
Short Learning Curve: According to 82% of users who reviewed its learning curve, this solution is quick and easy to pick up, especially thanks to the resources provided by the vendor.
Support: Support is both helpful and proactive, and the vendor incorporates feedback into future updates, according to 88% of users who reviewed their support offerings.
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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: Of the users who mentioned its speed, approximately 83% said that it loads too slowly, with timeouts for especially large queries.
Price: About 63% of users who reviewed its cost said that it’s too expensive, especially when adding the embedding feature to their plan.
No Mobile App: All of the users looking for a mobile app said that there currently is no application for mobile devices available.
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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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Chartio is a SaaS BI tool that rates quite highly with its user base, thanks to a myriad of unique benefits and features that help companies save time and increase productivity. Most significantly, many reviews focused on its ease of use — not only is the platform user-friendly and intuitive, with a clean, drag-and-drop interface, but it’s also designed to help users build SQL queries without coding knowledge. Easy to pick up, it’s also easy to master, with a remarkably short learning curve due to built-in tools and tips, as well as an abundance of vendor-provided documentation, online resources and proactive customer support. Many users reported that this tool increased organization-wide data literacy and reduced reliance on their IT, R&D and analyst departments by providing truly self-service BI. In addition, it facilitates smooth collaboration and painless sharing of insights. Users also praised its data analysis functionality, which gives insight into overarching trends while inviting deeper exploration at a granular level through flexible filters, slice-and-dice tools and drill-down capabilities. This tool’s data visualization and dashboarding features, while lacking in some customization compared to competitors, help users track KPIs and see metrics from all of their data sources in one place. However, some reviews mentioned that this solution suffers from slow loading times and refresh rates, especially with larger data sets. Another con cited by several users is its cost: while some say that it’s affordable, others say that it’s too expensive for what it provides and that the price hike associated with adding embedding to pricing plans is too high. For businesses specifically looking for a mobile app, this tool may not be the right fit, as there is currently no mobile app. Though it lacks some advanced features needed by power users or provided by other alternatives, some reviews said that this is a trade-off for its ease of use with business users. Overall, Chartio is a great fit for businesses seeking to empower all their employees with data-driven decision making and encourage them to discover their own insights, while reducing the burden on their IT department.

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