Home > Business Intelligence Tools > KNIME > KNIME vs Zoho Analytics

KNIME vs Zoho Analytics

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Our analysts compared KNIME vs Zoho Analytics 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.

Overview Pricing Benefits & Features User Ratings Analyst Summary Screenshots
KNIME Software Tool
Zoho Analytics Software Tool
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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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Zoho Analytics (formerly Zoho Reports) allows users to create visualizations and dashboards to present their data via a quick, easy, self-service model. It brings insight and analysis to an organization’s business data on-demand without needing IT assistance or data analysts through extensive automation efforts in several dimensions of the analytical process.

Users can crunch huge datasets, clean and blend data, perform various analytical tasks and visualize the results in dynamic graphics to uncover insights. They can make data-informed business decisions in a stand-alone or embedded environment with support for mobile devices. It has flexible on-premise or cloud deployment models.
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$0 Open-Source
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$24 Monthly
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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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  • Visualize Data in Intuitive Graphics: Create insightful, useful dashboards to gain valuable information. Offers an expansive library of visualization types that is expanded frequently. Employees can also blend multiple reports into a single dashboard to gain insight into larger data trends. 
  • Discover Business Operations Insights: Get in-depth, actionable overviews of operations, ranging from sales, finance and marketing to resource management and geographic activity through geo visualizations that facilitate comparison across and between regions. 
  • Perform In-Depth Analysis: Managers can perform deep analytical queries that increase their business intelligence through powerful features like pre-built formulas and functions that identify business metrics and smart forecasting to project future outcomes. 
  • Share and Collaborate on Reports: Provides managers with fine-grained access over the content clients and colleagues can see and edit. Users with access can publish reports, embed them into websites or share them via email for collaboration. Peers can create comment threads on reports as well as add images and annotations. 
  • Embed Into Other Systems: Embed the software’s analytics capabilities into other solutions like CRM platforms, ERP tools or others. Offers seamless integration and a fully re-branded user portal for a continuous user experience across platforms. 
  • Extend the Software as Business Grows: The platform’s extensible, scalable architecture helps build and integrate analytics into applications of any size. Scales up to enterprises using huge volumes of data by utilizing scalable columnar database technology. 
  • Draw Data From Many Sources: Develop a 360-degree view of the organization by blending different types and sources, including outside sources, of data into a single cohesive database, allowing businesses to better answer questions regarding customer behavior, business operations, financial status and more. 
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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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  • Geo Visualization: Sales reps can quickly and easily compare regional performance with interactive map charts. Comparisons can be performed across countries, states, counties and more. 
  • Data Alerts: Managers can set alert conditions that trigger automated alerts when there is a significant change or anomaly in the data. 
  • Report Scheduling: Reports can be scheduled to be published or emailed automatically. Also, schedule recurring reports to generate on a set schedule. 
  • Drag-and-Drop Interface: An intuitive drag-and-drop interface makes generating useful reports quick and easy, without the need for code. View underlying data, set contextual filters, perform data exploration and drill down into the data to gain insights. 
  • White Labeling: The solution is white-labeled to facilitate embedding into websites or applications. Use this technology to embed individual reports or dashboards. 
  • Ask Zia: Zia is a smart analytical assistant built out of a blend of AI and machine learning algorithms. Employees can type out questions in natural query language (NQL), and the assistant will offer answers and suggestions via reports or automatically build and source KPI widgets. 
  • Data Connectors: Connects to a broad range of data connectors, including files and feeds, cloud storage, multiple databases, CRM systems, Google Analytics, marketing platforms, social media, financial platforms, e-commerce platforms, HR and more. 
  • Auto-Joined Data: Auto-joining tables can automatically merge tables linked by a Lookup column (schema attribute). This assists and partially automates cohesive database creation. 
  • Mobile Support: Apps on iOS and Android allow managers to view reports and dashboards from their mobile devices and overwatch operations from anywhere. 
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Product Ranking

#89

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#23

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Business Intelligence Tools

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User Sentiment Summary

Great User Sentiment 236 reviews
Great User Sentiment 748 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

Zoho Analytics has a 'great' User Satisfaction Rating of 89% when considering 748 user reviews from 5 recognized software review sites.

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5.0 (14)
4.3 (41)
4.2 (130)
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4.5 (226)
4.6 (18)
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4.6 (139)
4.5 (168)
3.9 (38)
4.4 (210)

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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Ease of Use: It is a user-friendly platform that makes it easy to upload and control data, as noted by more than 77% of reviewers who mention ease of use.
Integration: Facilitates integration with multiple databases and platforms for greater insights, as reported by 82% of the users noting integrations.
Dashboards: It enables easy creation and sharing of multifaceted, custom dashboards, as observed by 75% of reviewers specifying dashboards.
Flexible Reports: It helps generate dynamic and customizable reports quickly, as stated by 88% of the users who refer to reports.
Implement: This tool is simple to deploy and implement, as noted by 75% of reviewers mentioning the implementation process.
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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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Learning Curve: Around 63% of reviewers who mention the learning curve report that it has a steep learning curve for non-technical users.
User Interface: Its user interface can be confusing because of the multiple options and features available, as noted by over 54% of reviewers that mentioned the user interface.
Limited Queries: All users who refer to queries state that composing and joining queries is limited.
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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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Zoho Analytics is a BI and data analytics software platform that helps users visually analyze data, create visualizations and get a deeper understanding of raw data. It helps users generate dynamic, highly customizable and actionable reports and allows integration with multiple platforms for achieving greater insights. Its multifaceted and customizable dashboards can enhance the user experience. However, many reviewers have reported that the user-interface can be confusing to use with the many options and features available. Also, it has a steep learning curve, and non-technical users might find it difficult to use in the beginning. Overall, it is a user-friendly platform that enables effortless data handling.

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