Home > Business Intelligence Tools > KNIME > KNIME vs Datorama

KNIME vs Datorama

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Our analysts compared KNIME vs Datorama 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
Datorama 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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Datorama, a Salesforce business intelligence platform, helps businesses manage and analyze their data. It provides a unified view of data from various sources, including on-premises, cloud-based, and third-party platforms. Datorama is ideal for businesses seeking to enhance their data management and analytics capabilities, particularly those interested in leveraging predictive analytics for improved decision-making.

Key benefits include a comprehensive view of data sources, user-friendly dashboards and reports, predictive analytics functionalities, and integration with other business applications. Datorama's pricing is based on a per-user model, with annual costs starting at $1,000. User experiences suggest that Datorama offers robust data management and analytics capabilities, but some users have noted a steeper learning curve compared to similar products.

***Disclaimer: Pricing and features may change over time. Please refer to the official Salesforce website or other reliable sources for the most up-to-date information.***

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$0 Open-Source
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$3,000 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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  • Single Cohesive Data Warehouse: Draws data from different sources and marketing channels into a single source. This dynamic landing zone applies machine-learning algorithms to the data in order to blend, clean, analyze and visualize it. 
  • Quick Insights: Automated insights take real-time data and generate quick, accurate visualizations to help users draw insights into their business data and trends. 
  • End-to-End Platform: From unstructured data source to intuitive visualization, this system does every step in a smooth interface to promote usability and an efficient workflow. 
  • Data Accessibility: Users of all technical abilities have access to their data via self-service BI. They no longer have to wait for analysis from a data scientist before they can start drawing insights from business data. 
  • Cross-Channel Visibility: Draws data from a variety of sources and blends them seamlessly to give users a smooth experience to explore data. Some of these channels include sales data, CRM data, social media, data warehouses and more. 
  • Actionable Insights: Analyze data to identify trends and patterns, and use it to make predictions, get better insight into business operations and glean actionable insights. 
  • Better Business Decisions: Decisions made based on general data are good, but decisions made based on historical proprietary data trends are much better. BI tools help users make data-driven business decisions and informed predictions, so they can always feel confident in their choices. 
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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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  • Reports: Generate a variety of ad-hoc or custom report types to answer specific business questions. 
  • Dashboards: Intuitive dashboards make it easy to create, edit, explore and share data visualizations and reports. 
  • Data Modeling: This feature connects and blends data from a variety of sources into a single data warehouse that is easily accessible by users. 
  • API Library: An extensive library of marketing APIs allow users to access and make changes to their applications and data. These create an ad tech and martech ecosystem that lets users plug data from any connected source directly into a visualization. 
  • Data Integration: TotalConnect powers limitless integration through machine learning artificial intelligence. Cleans and structures data in addition to scheduling automated updates to ensure data is always up to date. 
  • Custom KPIs: Custom fields and classifications allow users to query the exact information they need rather than relying on out-of-the-box options. 
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Product Ranking

#89

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Business Intelligence Tools

#35

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Business Intelligence Tools

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User Sentiment Summary

Great User Sentiment 236 reviews
Great User Sentiment 156 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.

85%
of users recommend this product

Datorama has a 'great' User Satisfaction Rating of 85% when considering 156 user reviews from 5 recognized software review sites.

4.3 (41)
4.3 (89)
n/a
4.36 (22)
4.6 (18)
4.6 (16)
4.6 (139)
4.6 (9)
3.9 (38)
3.5 (20)

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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Dashboard: It offers a flexible and highly customizable dashboard, as noted by more than 89% of reviewers who mention dashboards.
Easy Integration: It integrates easily with multiple platforms, as observed by 75% of the users specifying integration.
Customer Support: It has responsive and receptive customer support, as stated by 75% of reviewers who refer to customer support.
Automated Reporting: All users that mentioned reports noted that it provides automated in-depth reporting functionality.
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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: It has a steep learning curve for beginners, as stated by 100% of reviewers who referred to a learning curve.
Software Setup: Around 50% of the users who specify setup report that the software setup process is cumbersome.
Slow Performance: Platform performance can become slow sometimes, as observed by all the reviewers who spoke about performance.
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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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Datorama is an AI-powered marketing intelligence company that helps its users make smarter business decisions by connecting and working on their KPIs and marketing data. Its flexible and highly customizable dashboard can improve customer experiences, but slow performance can hinder productivity. It provides automated reporting and easy integration capabilities with multiple platforms. Many users have noted that the setup process is cumbersome, and it involves a steep learning curve for new users. Nevertheless, its receptive and responsive customer support has helped reviewers solve multiple issues.

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Screenshots

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