RapidMiner vs Datorama

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Our analysts compared RapidMiner 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.

Datorama 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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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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Product Assistance

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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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  • 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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  • 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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  • 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

#83

among all
Business Intelligence Tools

#35

among all
Business Intelligence Tools

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User Sentiment Summary

Excellent User Sentiment 1039 reviews
Great User Sentiment 156 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.

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.

4.6 (492)
4.3 (89)
4.41 (22)
4.36 (22)
4.5 (22)
4.6 (16)
4.6 (455)
4.6 (9)
3.6 (48)
3.5 (20)

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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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 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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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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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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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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