KNIME vs Entrinsik Informer

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Our analysts compared KNIME vs Entrinsik Informer 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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Entrinsik Informer is a robust software solution designed to streamline Business Intelligence tasks, offering powerful data management and analytics capabilities. It is particularly well-suited for organizations that require efficient data integration, reporting, and visualization to drive informed decision-making. The software's intuitive interface and versatile features make it an excellent choice for businesses of various sizes and industries, seeking to enhance their data-driven strategies.

One of the key benefits of Entrinsik Informer is its ability to consolidate data from multiple sources, providing users with a comprehensive view of their operations. This facilitates more accurate and timely insights, which are crucial for strategic planning. Popular features include advanced reporting tools, customizable dashboards, and real-time data analytics, all of which contribute to a more dynamic and responsive business environment.

In comparison to similar products, users often highlight Entrinsik Informer's ease of use and the efficiency of its data integration processes. Pricing for Entrinsik Informer typically varies based on the number of users and the specific needs of the organization, with options for annual or monthly payment plans. This flexibility allows businesses to choose a pricing model that aligns with their budget and operational requirements.

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$0 Open-Source
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$5,000 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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  • Enhanced Decision-Making: Entrinsik Informer provides real-time data analytics, enabling businesses to make informed decisions quickly and accurately.
  • Improved Data Accessibility: Users can access and analyze data from multiple sources without needing extensive technical knowledge, fostering a data-driven culture.
  • Streamlined Reporting: The software simplifies the creation of complex reports, saving time and reducing the potential for human error.
  • Increased Efficiency: Automating routine data tasks allows employees to focus on more strategic activities, boosting overall productivity.
  • Customizable Dashboards: Tailored dashboards provide users with relevant insights at a glance, enhancing their ability to monitor key performance indicators.
  • Data Integration: Seamlessly integrates with various data sources, ensuring a comprehensive view of business operations and eliminating data silos.
  • Enhanced Collaboration: Facilitates better communication and collaboration among team members by providing a unified platform for data sharing and analysis.
  • Scalability: The software grows with your business, accommodating increasing data volumes and more complex analytical needs without compromising performance.
  • Cost Savings: Reduces the need for multiple disparate tools and minimizes manual data processing, leading to significant cost reductions over time.
  • Regulatory Compliance: Helps ensure that data handling and reporting meet industry standards and regulatory requirements, reducing the risk of non-compliance.
  • Enhanced Security: Robust security features protect sensitive data, ensuring that only authorized users have access to critical information.
  • Actionable Insights: Transforms raw data into actionable insights, helping businesses identify trends, opportunities, and areas for improvement.
  • User-Friendly Interface: Intuitive design makes it easy for users of all skill levels to navigate and utilize the software effectively.
  • Real-Time Monitoring: Provides up-to-the-minute data, allowing businesses to respond swiftly to changing conditions and emerging opportunities.
  • Reduced IT Dependency: Empowers business users to generate their own reports and analyses, reducing the burden on IT departments.
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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 Visualization: Generate interactive charts, gauges, pivot tables, maps and summary views to boost insight comprehension. Customize and apply filters through Discover to sort, group and explore specific areas of interest. Embed visualizations into a web-based application or an inter-office portal like Microsoft SharePoint. 
  • Data Source Connectivity: Connect to any type of data source, including structured data, unstructured data, REST API endpoints, spreadsheets from a desktop, Twitter feeds or traditional physical databases for faster data analysis. 
  • Data Flows: Enable quick data transformation that enters the system by joining data from different sources. 
  • Jobs: Facilitate workflow automation by creating a job using multiple queries and datasets while adding filters to customize reports. Set up one or multiple actions for the same job and send individual and burst emails. Maximize efficiency and run jobs manually or automatically by setting up a schedule or specific alert. 
  • Datasets: Curate a single source of truth; map and query data into building blocks to enable data analytics. Refreshes datasets to reflect real-time information as it updates from the data source. 
  • Data Governance and Security: Leverage governance policies to ensure data quality and organization integrity. Protect information and manage access permissions by team, role or individual. 
  • Reporting: Build interactive analytical reports by creating colorful charts, maps and graphs that utilize data extracted from multiple sources. Dashboard reports make it easier to track trends, perform data analysis and analyze key performance metrics. 
  • Extensibility: Extend the tool’s functionality by integrating JavaScript and AngularJS APIs into the system. Manage scalability and flexibility in writing, testing, sharing and deploying plugin code. 
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Product Ranking

#89

among all
Business Intelligence Tools

#464

among all
Business Intelligence Tools

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User Sentiment Summary

Great User Sentiment 236 reviews
Excellent User Sentiment 166 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.

97%
of users recommend this product

Entrinsik Informer has a 'excellent' User Satisfaction Rating of 97% when considering 166 user reviews from 4 recognized software review sites.

4.3 (41)
4.7 (11)
n/a
4.82 (57)
4.6 (18)
4.8 (56)
4.6 (139)
n/a
3.9 (38)
4.9 (42)

Awards

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Entrinsik Informer 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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Intuitive Interface: Users praise Informer's drag-and-drop interface, finding it easy to create reports and dashboards without needing to write code.
Powerful Data Visualization: Informer offers a wide array of charts and graphs, enabling users to present data in a clear and compelling way. Users appreciate the flexibility to customize the look and feel of their visualizations.
Strong Data Connectivity: Informer can connect to a variety of data sources, allowing users to pull data from different systems into a single platform for analysis. This is particularly helpful for organizations with data spread across multiple databases or applications.
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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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Steep Learning Curve: Some users have reported that Informer has a steep learning curve, particularly for those who are new to business intelligence tools or lack a strong technical background. The interface can feel overwhelming, and mastering advanced features may require extensive training or experimentation.
Limited Customization Options: Users seeking highly customized dashboards or reports might find Informer's customization options somewhat restrictive. While it offers a decent range of formatting and visualization choices, it may not cater to every specific design preference or complex reporting requirement.
Performance Issues with Large Datasets: Some users have experienced performance issues when working with very large datasets. Queries can take longer to execute, and dashboard responsiveness may suffer, potentially impacting the user experience, especially in scenarios demanding real-time data analysis.
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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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Is Entrinsik Informer truly "informing" businesses, or is it just another case of hype over substance? User reviews from the past year suggest that Entrinsik Informer is a capable business intelligence tool, but it's not without its drawbacks. Users praise its ease of use, highlighting the intuitive interface that allows even non-technical staff to build reports and dashboards. This user-friendliness is a major differentiator, as many competing products like Domo or Grow require more technical expertise. Users also appreciate the breadth of features, particularly the robust data visualization capabilities that allow for insightful analysis. However, a recurring complaint is the high cost, especially for smaller businesses. Some users find the pricing structure to be prohibitive, making it a less attractive option compared to more affordable alternatives. Another concern is the difficulty of integrating Entrinsik Informer with existing business systems. While the software boasts strong data connectivity, users report challenges in seamlessly integrating it with their specific tech stack, leading to implementation headaches. Overall, Entrinsik Informer seems best suited for medium to large businesses with the budget to accommodate its cost and the technical resources to handle potential integration complexities. For these organizations, the software's user-friendliness and powerful features can be a significant asset, enabling them to unlock valuable insights from their data without requiring a team of data scientists.

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