RapidMiner vs Einstein Analytics

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Our analysts compared RapidMiner vs Einstein 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.

Einstein 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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Einstein Analytics is a suite of analytics applications that use artificial intelligence to supply insights. With predictive, tailored analytics, it can build AI data visualizations and deliver recommendations to help companies accomplish their business goals. Developed by Salesforce, it integrates natively with their CRM to boost understanding of sales pipelines and customer satisfaction.

It offers three editions: Predictions, Analytics Growth and Analytics Plus. Until 2017, it was known as Salesforce Analytics Cloud or Wave.
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$10 Annual, free, quote-based
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$75/User, Monthly
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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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  • Predictive Analytics: Automatically generates models and precise recommendations based on insights gleaned from relevant data, with the power of artificial intelligence.
  • Achieve Faster ROI: Spend less time cleaning up data and more time selling products and converting leads.
  • Native Salesforce Integration: Connects seamlessly with Salesforce, supplementing the CRM platform with crucial BI.
  • Unify Your Systems: Bring all data onto one screen to get the complete picture with data connectors to any platform, including external systems.
  • Simplicity of Use: Create data visualizations that make sense with ready-to-use customizable templates that eliminate the need to have coding knowledge.
  • Free Trial: Sign up for a free 30-day trial on the vendor’s website.
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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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  • Role-Specific Analytics: Leverage its prebuilt templates and native apps designed to maximize insights with customizable best-practice KPIs in specific industries, including sales, customer service, financial advising, B2B marketing, fundraising and more.
  • Actionable AI: Build AI-powered applications and models that explore millions of data combinations and trends in minutes, even without knowing code. Generate predictions and what-if scenarios for the business. 
  • Self-Service BI: Customize the queries and looks of analytics applications to target the information needed for specific decisions. 
  • All-Around Insights: Gather all information in one place by connecting to any external data source, including AWS Redshift, Salesforce CRM, Microsoft Dynamics, Google BigQuery and more.  
  • Team Collaboration: Quickly share assets and take action together with colleagues with smart notifications, annotations, presentation mode, downloadable analytics, updates via email subscription and native integration with Salesforce Chatter.  
  • Mobile Ready: Download apps compatible with iOS and Android platforms that support many of the available analytics features.  
  • Continuous Upgrades: Avail new features and enhancements released by the Salesforce platform three times a year in winter, spring and summer.  
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Product Ranking

#83

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Business Intelligence Tools

#168

among all
Business Intelligence Tools

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User Sentiment Summary

Excellent User Sentiment 1039 reviews
Great User Sentiment 1161 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.

83%
of users recommend this product

Einstein Analytics has a 'great' User Satisfaction Rating of 83% when considering 1161 user reviews from 4 recognized software review sites.

4.6 (492)
4.2 (302)
4.41 (22)
n/a
4.5 (22)
4.3 (60)
4.6 (455)
4.3 (169)
3.6 (48)
4.1 (630)

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: Citing its strong AI and machine learning features, all users who discussed the platform’s analytical capabilities said that it helps deliver business intelligence insights.
Data Visualization: Reviewing visualization capabilities, approximately 79% of users said that its clear and custom dashboards make business data easy to understand from a KPI point of view.
Data Integration: Around 76% of users who discussed data connectivity said that the platform connects easily to a wide range of data sources for advanced analytics.
Functionality: Reviewing functionality, around 65% of users said that, supported by regular updates that address user requests, the tool is feature-rich and stable.
Ease of Use: Discussing the interface, approximately 61% of users said the software is easy to use and aesthetically elegant.
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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: Citing per-user licensing plans and additional fees for on-premise installation, maintenance and add-ons, around 80% of users said that costs can quickly add up.
Performance: Around 78% of users who reviewed the solution for performance said that it is slow and prone to infrequent crashes, especially when uploading large amounts of data.
Setup: Approximately 67% of users who reviewed ease of deployment said that configuring the platform can be difficult if done without professional support.
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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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Einstein Analytics from Salesforce is a predictive analytics BI tool that uses the power of AI and machine learning to glean insights and create visualizations and reports to drive business decisions. All users who reviewed its analytics capabilities said that it excels at augmented analytics. Many users who reviewed data visualization said that templates and dashboards are easy to customize for deep-dive data exploration. With a range of reporting options and intuitive drag-and-drop functionality, the platform empowers business users to create their own reports without needing to code. Being part of the Salesforce suite, the platform integrates well with other SF offerings, as expected, as well as with external data sources. As for the tool’s data management capabilities, some users said that ETL functions are self-contained in that they replace the need to write code, however others said that data needs to be cleansed before the ETL engine can consume it for data analysis. Commenting on the software’s functionality, around 68% of users said that it is easy to drill down into KPIs with little training in analytics, whereas some users said that the platform is sparse in terms of features and does not have the same reporting capabilities as other Salesforce tools. Mentioning the interface, a majority of users said that it is clean and interactive, though quite a few users said that they preferred the classic version to the new one. A majority of the users who reviewed pricing said that, in addition to expensive per-user licenses, other costs can quickly add up, since implementation is not easy and often requires professional vendor support. Many users who discussed setup said that the platform struggles when processing large amounts of data, and plugins are needed to process heavier data sets, which further compounds costs. Quite a few users said that the platform performs well within the Salesforce ecosystem; however, it does not have the robustness and flexibility of Tableau. Overall, Einstein Analytics is a BI tool with strong out of the box ETL and data visualization capabilities that glean deeper insights into business metrics and seems to be suited for organizations with lightweight data analysis needs or those that already implement Salesforce solutions.

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