RapidMiner vs Cognos Analytics

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Our analysts compared RapidMiner vs Cognos 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.

Cognos Analytics Software Tool

Product Basics

The RapidMiner platform is a cloud-based series of data intelligence offerings, capable of all layers of a big data ecosystem. It can work with structured and unstructured data alike, preparing, blending, analyzing and visualizing it.

It utilizes a code-free interface for designing big data workflows and integrations, capable of the complete data science life cycle. It can achieve top-level analytics like machine learning and predictive modeling. Its cloud deployment comes in managed or on-demand options. It has open-source and commercial versions.
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IBM Cognos Analytics is a self-service, web-based analytics platform which empowers users of all skill levels to explore data through reporting, data analytics, KPI monitoring, events and metrics. Reports give users the ability to not just visualize their insights, but also share them with colleagues.

It integrates with Watson Analytics, which leverages IBM’s artificial intelligence and natural language processing to make insights more accessible to non-technical users. It has various components which give additional functionality, flexibility and agility when processing large sets of data.
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$10 Annual, free, quote-based
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$50/User, Monthly
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Product Insights

  • Open-Source or Commercial: Open-source and free versions exist for RapidMiner Studio, the end-to-end workflow integration tool, and Radoop, the Hadoop and Spark integration and execution tool. The open-source Studio tool allows for 10,000 data rows and a logical processor. The vendor continuously updates its open-source options to keep up with modern innovations. 
  • In-Database Analytics: Performs data prep and ETL in-database to increase analytics speed and performance. Reduces the amount of information translated to the memory of the application. 
  • Build Code-Free Workflows: Create end-to-end workflows without a sophisticated knowledge of programming using the platform’s visual designer interface. Complete each stage of the workflow, from connecting to data sources to producing visualizations in a unified drag-and-drop environment. 
  • Advanced Analytics: Tap into the most sophisticated analytics options on the market today, like AI, machine learning and predictive modeling. Get deeper insights and increase business intelligence more by using high-level analytics to make decisions. 
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  • Enhanced Decision Making: Cognos Analytics synthesizes data from various sources, providing comprehensive insights that empower users to make informed, data-driven decisions.
  • Time Efficiency: Automates the process of data collection and report generation, significantly reducing the time spent on these tasks and allowing teams to focus on analysis and strategy.
  • Customizable Dashboards: Offers the flexibility to create personalized dashboards that highlight key metrics, making it easier for users to access the information most relevant to their roles and objectives.
  • Scalability: Adapts to the growing data needs of a business, ensuring that as your company expands, Cognos Analytics can handle the increasing volume and complexity of data.
  • Data Accuracy: Minimizes human error by automating data collection and analysis, leading to more accurate insights and reducing the risk of costly mistakes.
  • Collaboration Enhancement: Facilitates better teamwork by providing a shared platform where team members can access, analyze, and discuss data insights in real-time.
  • Advanced Analytics: Utilizes AI and machine learning to uncover deep insights, predict trends, and identify patterns that might not be apparent through traditional analysis methods.
  • Comprehensive Reporting: Generates detailed reports that can be customized to suit different audiences, ensuring stakeholders receive the information they need in an understandable format.
  • Mobile Accessibility: Offers mobile support that allows users to access data and insights on the go, ensuring decision-makers are always informed, regardless of their location.
  • Regulatory Compliance: Helps ensure that data management practices comply with relevant regulations and standards, reducing the risk of legal issues and fines.
  • Cost Reduction: By streamlining data analysis processes and reducing the need for manual intervention, Cognos Analytics can lead to significant cost savings over time.
  • Improved Customer Insights: Analyzes customer data to provide a deeper understanding of customer behavior and preferences, enabling more targeted and effective marketing strategies.
  • Operational Efficiency: Identifies bottlenecks and inefficiencies in operations, allowing organizations to optimize processes for better performance and productivity.
  • Future-Proofing: Continuously updates to incorporate the latest technologies and analytics trends, ensuring that businesses remain competitive in a rapidly evolving digital landscape.
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  • Visual Workflow Designer: Create an end-to-end analytic workflow through a drag-and-drop, singular interface that requires little coding. 
  • Data Visualization: It has an internal framework for producing more than 30 interactive data visualizations, with the capability to add more. Explore and drill down into data to digest trends and patterns more easily. 
  • Data Management: Use the Turbo Prep app to streamline data preparation. Ingest, load and store data from more than 40 file types, and scrape data from URLs, NoSQL databases, business applications and cloud storage. 
  • Automatic Modeling and Validation: Deploy data models without coding. Automatically generate models and compare them to similar models to predict the best possible direction for a project to take. 
  • Apache Integration: RapidMiner Radoop is a user-friendly interface for connecting and utilizing Apache Hadoop for distributed analytics and scaling, without having to program in Spark. Increase processing limits and tap into advanced processes like machine learning without leaving the RapidMiner interface. 
  • Data Preparation: Prepare, cleanse, blend and wrangle data through the Turbo Prep interface. Get an in-depth view of the dataset at each step. Make changes in real time, visible in pivot tables. 
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  • Components: Boost the feature set of the core platform with components that enhance data modeling, visualization and analytics capabilities. 
  • Powerful Reporting: Create detailed charts, graphs, maps, voiceovers and repeat functions with the robust, professional reporting suite. Simplify reporting for non-technical users with express mode. 
  • Web-based Interface: Access the platform on any hardware via the web.
  • Natural Language-powered AI: Interrogate data and receive natural, consistent responses with a built-in AI, powered by NLP. 
  • Automated Modeling: Verify and combine data via automated modeling, and assess relationships between separate data points. 
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Product Ranking

#83

among all
Business Intelligence Tools

#12

among all
Business Intelligence Tools

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Analyst Rating Summary

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Analyst Ratings for Functional Requirements Customize This Data Customize This Data

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Advanced Analytics Augmented Analytics Data Management Data Pre-processing Data Transformation Data Visualization Embedded Analytics Capabilities Geospatial Visualizations And Analysis Mobile Capabilities Platform Capabilities Reporting 87 59 96 85 90 100 84 58 77 91 100 0 25 50 75 100
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Analyst Ratings for Technical Requirements Customize This Data Customize This Data

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User Sentiment Summary

Excellent User Sentiment 1039 reviews
Great User Sentiment 1251 reviews
91%
of users recommend this product

RapidMiner has a 'excellent' User Satisfaction Rating of 91% when considering 1039 user reviews from 5 recognized software review sites.

81%
of users recommend this product

Cognos Analytics has a 'great' User Satisfaction Rating of 81% when considering 1251 user reviews from 4 recognized software review sites.

4.6 (492)
3.9 (306)
4.41 (22)
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4.5 (22)
4.1 (120)
4.6 (455)
4.3 (358)
3.6 (48)
4.0 (467)

Awards

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

User Favorite Award

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Synopsis of User Ratings and Reviews

Online Community: Around 95% of the users who reviewed support said that the online communities are helpful, proactive and knowledgeable.
Ease of Use: Citing its great layout and design, approximately 93% of users said that the interface offers a no-programming, user-friendly experience.
Training: Around 78% of the users who reviewed training resources said that a plethora of tutorials, videos and guides are readily available online.
Data Management: According to 77% of the users who discussed data management, the platform has built-in functions for fast and intuitive data cleaning and data preparation.
Data Analysis: Around 70% of the users who reviewed analytics said that the platform has powerful machine learning capabilities with a multitude of built-in algorithms for advanced predictive analysis.
Functionality: Mentioning a wide range of add-ons and toolboxes, approximately 55% users said that the solution is versatile, with regular updates and powerful data processing capabilities.
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Data Analysis and Visualization: All users who mention data analysis and presentation unanimously agree that this solution covers the full spectrum of BI analytics capabilities.
Data management: All users who mention data preparation praise its data integrations and effective metadata management, which ensure data consistency and accuracy across multiple reporting systems.
Functionality: Of users who mentioned this platform’s features, around 90% were satisfied with regular updates and enhancements which allow them to create faster, more responsive dashboards.
Reporting: Around 89% of users who mention reporting are satisfied, appreciating its ad-hoc reporting and report-sharing capabilities.
Setup: Excellent vendor support coupled with the ease of establishing data connectivity with data sources make installation of this solution a breeze, as approximately 87% of users have mentioned.
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Performance and Speed: Around 88% of the users who reviewed its performance said that the platform is resource-hungry and slows down when processing complex datasets.
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Cost: Around 87% of users who mention cost feel that its licensing model is expensive when compared to other BI solutions.
Training: Approximately 45% of users who reviewed training say that the learning curve can be quite steep and though self-service training is available, they would prefer a formal learning program.
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Rapidminer is an end-to-end data science platform that performs a wide range of functions, from data prep to machine learning to predictive modeling. According to most of the users who reviewed the tool’s support, online communities are responsive in answering queries and helping resolve issues. Many of the users who discussed the interface said that, with an intuitive layout and great design, the UI offers easy drag-and-drop functionality for rapid prototyping - no programming experience needed. A majority of the users who mentioned online resources said that crisp and informative tutorials and videos are readily available online, and that the vendor’s website offers up-to-date information on the tool. According to many users who discussed data management, the platform works well for clustering, fast cleaning and data preparation with its built-in functions and algorithms. Many of the users who reviewed its analytic capabilities said that the solution uses machine learning for data exploration and visualization to derive insights from almost any source of data, though some users said that more statistical models are needed. With new functionalities being introduced from time to time, many users said that the platform stays versatile and has powerful data processing capabilities. On the flip side, many users who reviewed speed and performance said that the platform is resource-intensive and slows down when running complex data models. Reviewing adoption, some users said that there is an initial learning curve and tutorials should be built within the tool for prompt troubleshooting. Quite a few users who reviewed the tool’s data prep capabilities said that better ETL features are needed, especially for plots and graphs, and extensive dataset modeling may require higher computing power that can slow down the platform. In summary, RapidMiner, with its rich libraries, functions and algorithms, helps in AI-driven data exploration and mining for self-service data model development to drive advanced predictive analytics for enterprises.

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IBM Cognos Analytics is an excellent BI tool and rates very highly with users on all major counts. Users are unanimous in their praise of its data management and data analysis capabilities to provide a single source of truth. Having ventured into AI-powered tools with the 11.1.3 version in 2018, IBM is making bold strides to incorporate augmented intelligence into the platform. IBM has astutely combined this solution with the capabilities of one of its other offerings, Watson Analytics, for natural language processing - a game-changer for empowering non-technical users to create a vast range of dashboards. With AI-enabled exploration, users can review key drivers of metrics and identify gaps in data, though some users feel that more tools are needed for content store exploration through its relational database. It also rates excellently with users for its data integration and ad-hoc reporting capabilities, efficient metadata management and extensive data modeling features. Several strong features of this platform, as noted by reviewers, include Jupyter notebooks, regular updates to the platform and enhancements to data modules, though when it comes to integrating with Online Analytical Processing (OLAP) data sources and IBM Planning Analytics in particular, it comes up short. Version 11 of the platform comes with over-the-top installs for upgrades, which reduces time to set up; though some users feel that integrations built with the current SDK solution can be tedious to implement and maintain. Being part of the IBM software suite, it connects seamlessly to other IBM products under the same umbrella. However, integration with MS-Sharepoint is not supported; this can be managed with workarounds, but only for on-premise setups, not cloud-based deployments. The platform has a rich reporting repertoire with report burst capabilities, pivots and Cognos Event Studio for event-driven reports. However, many users feel that Report Studio should provide the write back capability, which is crucial for business. As for the cost, a majority of users feel that its licensing models are restrictive, especially when compared to other BI solutions; though the vendor seems to address pricing and ease of use with version 11.1.3. In summary, Cognos Analytics is among the best BI solutions in the market today and IBM, with its ear to the ground, is delivering enhanced data analysis and reporting capabilities at scale.

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