Kimola Cognitive vs. RapidMiner

Overview
ProductRatingMost Used ByProduct SummaryStarting Price
Kimola Cognitive
Score 10.0 out of 10
Mid-Size Companies (51-1,000 employees)
Kimola Cognitive is a Machine Learning Platform that enables users to grab reviews from 20+ channels and analyze + classify customer feedback -or any text data- automatically. Top features of Kimola Cognitive are: Scrape Web and Collect Reviews Data analysis starts with data collection, and Kimola offers a web browser extension for marketing and research professionals to scrape content from the web to analyze and classify. It supports over 20 mediums, such as Amazon, Yelp,…
$199
per month 10.000 Queries
RapidMiner
Score 8.9 out of 10
N/A
RapidMiner is a data science and data mining platform, from Altair since the late 2022 acquisition. RapidMiner offers full automation for non-coding domain experts, an integrated JupyterLab environment for seasoned data scientists, and a visual drag-and-drop designer. RapidMiner’s project-based framework helps to ensure that others can build off their work using visual workflows or automated data science.
$7,500
Per User Per Month
Pricing
Kimola CognitiveRapidMiner
Editions & Modules
Starter
$199
per month 10.000 Queries
Standard
$399
per month 35.000 Queries
Business
$999
per month 100.000 Queries
Professional
$7,500.00
Per User Per Month
Enterprise
$15,000.00
Per User Per Month
AI Hub
$54,000.00
Per User Per Month
Offerings
Pricing Offerings
Kimola CognitiveRapidMiner
Free Trial
YesNo
Free/Freemium Version
YesNo
Premium Consulting/Integration Services
NoNo
Entry-level Setup FeeNo setup feeNo setup fee
Additional Details- 20% discount on annual plan for each package is available. - Pre-built ML Models are free to use for every client. - Scraping is free to use for every client. - There is no user seat limit.
More Pricing Information
Community Pulse
Kimola CognitiveRapidMiner
Features
Kimola CognitiveRapidMiner
Platform Connectivity
Comparison of Platform Connectivity features of Product A and Product B
Kimola Cognitive
-
Ratings
RapidMiner
9.5
Ratings
13% above category average
Connect to Multiple Data Sources00 Ratings10.00 Ratings
Extend Existing Data Sources00 Ratings10.00 Ratings
Automatic Data Format Detection00 Ratings9.00 Ratings
MDM Integration00 Ratings9.00 Ratings
Data Exploration
Comparison of Data Exploration features of Product A and Product B
Kimola Cognitive
-
Ratings
RapidMiner
9.0
Ratings
7% above category average
Visualization00 Ratings9.00 Ratings
Interactive Data Analysis00 Ratings9.00 Ratings
Data Preparation
Comparison of Data Preparation features of Product A and Product B
Kimola Cognitive
-
Ratings
RapidMiner
8.8
Ratings
8% above category average
Interactive Data Cleaning and Enrichment00 Ratings9.00 Ratings
Data Transformations00 Ratings7.00 Ratings
Data Encryption00 Ratings9.00 Ratings
Built-in Processors00 Ratings10.00 Ratings
Platform Data Modeling
Comparison of Platform Data Modeling features of Product A and Product B
Kimola Cognitive
-
Ratings
RapidMiner
9.0
Ratings
7% above category average
Multiple Model Development Languages and Tools00 Ratings9.00 Ratings
Automated Machine Learning00 Ratings9.00 Ratings
Single platform for multiple model development00 Ratings9.00 Ratings
Self-Service Model Delivery00 Ratings9.00 Ratings
Model Deployment
Comparison of Model Deployment features of Product A and Product B
Kimola Cognitive
-
Ratings
RapidMiner
9.0
Ratings
5% above category average
Flexible Model Publishing Options00 Ratings9.00 Ratings
Security, Governance, and Cost Controls00 Ratings9.00 Ratings
User Ratings
Kimola CognitiveRapidMiner
Likelihood to Recommend
10.0
(0 ratings)
10.0
(0 ratings)
Likelihood to Renew
-
(0 ratings)
9.0
(0 ratings)
Usability
-
(0 ratings)
9.0
(0 ratings)
User Testimonials
Kimola CognitiveRapidMiner
Likelihood to Recommend
Since using the tool for 4 months we have been extremely pleased with its performance. I've decided to share this review after receiving an email from the Kimola Team, and once I'm in the consumer insights business, I'll definitely support them. The interface and design are fantastic, with a great choice of colors, and Kimola has consistently introduced numerous improvements to the product since we first started using it. The ease of use is unmatched, allowing us to gain new insights and perspectives that were previously unattainable
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RapidMiner is the best tool to build models on textual data. It is rich in ML algorithms and reduces the need to manually tune the parameters. It automatically optimizes them, thus providing a better solution. RapidMiner again extends great capability for data preparation, its insane connections to almost every data source pulls in the data easily into one environment. And it can comfortably perform data cleaning and process tasks over that. RapidMiner is not so good with image, audio or video data. These data points cannot be used directly in their raw form. They must be transformed into some intermediate form for performing analytics over it. Moreover, there are no connectors to directly pull data from their varied sources. For example, we don't have a connector to read audio data directly from a switch and then convert it to text (although Google speech API is available for audio to text conversion.)
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Pros
  • Despite exploring various software options to analyze client feedback, none have proven as specific and accurate as Kimola Cognitive.
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  • RapidMiner Studio offers a superb user interface with an intuitive workflow paradigm that is very easy to learn.
  • RapidMiner Studio’s operators make it a complete and powerful tool for data preprocessing, data visualization, and data mining/analytics.
  • RapidMiner Studio provides excellent documentation, countless worked examples, training and support via a large user community.
  • Every problem is solved using a sequence of operators.
  • Statistical analysis capabilities offered with the T-Test, ANOVA, Grouped ANOVA, and ANOVA Matrix operators.
  • Textual data mining operators.
  • Web-based and cloud computing capabilities.
  • Visualization capabilities.
  • Marketplace Extensions – especially Finance And Economics.
  • Process portability.
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Cons
  • I believe that more language support should be added and it should reach more customers.
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  • Wish the tool was more efficient in terms of processing power. The tool takes a lot of CPU processing power, even for a small process on a small data set
  • Wish there were more options on charts and graphs to visualize the data
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Likelihood to Renew
No answers on this topic
Very fast and user-friendly tool
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Usability
No answers on this topic
Very use to use and learn
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Alternatives Considered
No answers on this topic
The other product like RapidMiner Studio that I have used is WEKA. I decided to use RapidMiner because almost all modelling methods and feature selection methods from the Weka machine learning library are available within RapidMiner. Furthermore, RapidMiner Studio is a visual workflow and therefore it is easier to demonstrate and visualise the processes involves in getting the desired results. Visualization of workflow enhances teaching and learning. RapidMiner is rich with algorithms and online learning materials that can assist students in their self-directed learning on data preparation, machine learning, deep learning, text mining, and predictive analytics. Moreover, RapidMiner repository has more than 1500 machine learning algorithms and functions that students can explore for any case study and assignments. The RapidMIner is also an open platform that can seamlessly integrates with other applications programmed with other programming languages like R and Python.
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Return on Investment
  • In order to create a custom model, if you are not experienced in this field, you need to watch a video on youtube. This question has little to do with Kimola.
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  • We saved over $100k on our direct mail program by not mailing to those unlikely to respond to our mailings based on our predictive analysis.
  • Our CX team has saved countless hours by automating call scripts to isolate key phrases and code each call.
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ScreenShots

Kimola Cognitive Screenshots

Screenshot of After signing up, Kimola Cognitive's home page full of support articles, resources and pre-built models are displayed.Screenshot of Reports can be generated after choosing a sentiment and classification model, and with a PDF export.Screenshot of Kimola Cognitive comes with a gallery of ready-to-use Machine Learning models for the most common use cases like sentiment and hate speech analysis along with consumer conversations around SaaS products, mobile apps, games.Screenshot of Kimola Cognitive also supports creating custom Machine Learning models by training a dataset. The platform takes care of choosing the best performing statistical model to ensure accuracy. The custom machine learning models are hosted on Kimola Cognitive and can be used via the user interface and API.Screenshot of Reviews can be scraped from 20+ mediums such as Amazon, Etsy, Booking, Walmart, Reddit etc. with Kimola Cognitive's browser extension.Screenshot of Marketing materials can be created with a GPT integration, from creating SWOT analyses to product descriptions.