Chattermill vs. RapidMiner

Overview
ProductRatingMost Used ByProduct SummaryStarting Price
Chattermill
Score 9.0 out of 10
N/A
The Chattermill Unified Customer Intelligence Platform helps businesses understand their customer reality. Using Chattermill, companies can unify their customer feedback data across reviews, support tickets, conversations, and social media to uncover what customers want, need, and expect from their products and services. Chattermill unifies customer feedback, customer support, and product feedback, and uses deep learning artificial intelligence (AI) to analyse customer data at…N/A
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
ChattermillRapidMiner
Editions & Modules
No answers on this topic
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
ChattermillRapidMiner
Free Trial
YesNo
Free/Freemium Version
NoNo
Premium Consulting/Integration Services
NoNo
Entry-level Setup FeeNo setup feeNo setup fee
Additional Details
More Pricing Information
Community Pulse
ChattermillRapidMiner
Considered Both Products
Chattermill
Chose Chattermill
Chattermill is more complex, easier to integrate between systems that we used (ticketing, livechat, reporting, CRM). Very informative reports (that will reveal what your customers really think). Custom reports creation is a benefit too - it is easier than in other systems. …
Chose Chattermill
way more user friendly than others, which is one of the main reasons we went with Chattermill. We needed a tool that would take less time than pulling and analysing data, and chattermill was the top dog by far
RapidMiner
Chose RapidMiner
We tried different data tools and we figured we give RapidMinder Studio a shot as one of our employees had experience with it, and when compared to some of the other tools that we used it was the best fit among the test group that we used. Overall it was a little more fluid and …
Chose RapidMiner
For me, the best advantage to use RapidMiner is the ease of use to learn and deploy new processes. Yo don't need to code, you learn fast and it's really flexible when it comes to transforming data. Knime is also good, but not so flexible, and visually less attractive. Pentaho …
Chose RapidMiner
I found RapidMiner to be in a class of its own. It's easy to use, yet extremely powerful for full data analysis.
Chose RapidMiner
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 …
Chose RapidMiner
Used R and RapidMiner Studio. The main advantage for RapidMiner Studio is the reduced need to program. It has a much smaller learning curve, and it is easy to start using the tool and analyzing from day one.
Chose RapidMiner
RapidMiner is much easier and faster to use plus it interfaces with databases easily.
Chose RapidMiner
We selected RapidMiner due to ease of use and a comfortable user interface. It stacks up very well against these tools in the predictive analytics space. For basic analytics and data reporting, we chose QlikView and Qlik Sense as a more robust reporting platform.
Chose RapidMiner
SPSS and SAS are too expensive. Their interfaces are excellent, but the price point is quite high making them inappropriate for higher education. KNIME is my second choice tool in this space, but it doesn't have the same long established english-speaking user community as …
Chose RapidMiner
It's a heck of a lot better than Python, i.e., it's much quicker to get results with RapidMiner. And RapidMiner is less error prone that coding.
Chose RapidMiner
The best part about RapidMiner is it mainly focus on machine learning algorithms whereas other tools focus on mainly the extract transform load (ETL) process. It can serve for all the KDD (Knowledge data discovery) process stages e.g. data cleaning, transformation, modeling and …
Chose RapidMiner
RapidMIner Studio is freely available and requires no programming skills. When compared with other free analytics tools, its graphical and analytical capabilities are far superior.
Chose RapidMiner
You simply cannot do everything with RapidMiner, it is just one tool in your arsenal. I like using Python directly much better with tools such as Jupyter Notebook in conjunction with JupyterHub.
Chose RapidMiner
The problem with R was that you had to code everything yourself and it doesn't do that well with large amounts of data. At the same time the advantage it provided was it has a large user base which means that you could get help easily.
Features
ChattermillRapidMiner
Platform Connectivity
Comparison of Platform Connectivity features of Product A and Product B
Chattermill
-
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
Chattermill
-
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
Chattermill
-
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
Chattermill
-
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
Chattermill
-
Ratings
RapidMiner
9.0
Ratings
5% above category average
Flexible Model Publishing Options00 Ratings9.00 Ratings
Security, Governance, and Cost Controls00 Ratings9.00 Ratings
Best Alternatives
ChattermillRapidMiner
Small Businesses
IBM Watson Studio
IBM Watson Studio
Score 10.0 out of 10
Jupyter Notebook
Jupyter Notebook
Score 9.4 out of 10
Medium-sized Companies
PG Forsta HX Platform
PG Forsta HX Platform
Score 8.0 out of 10
Posit
Posit
Score 10.0 out of 10
Enterprises
PG Forsta HX Platform
PG Forsta HX Platform
Score 8.0 out of 10
Posit
Posit
Score 10.0 out of 10
All AlternativesView all alternativesView all alternatives
User Ratings
ChattermillRapidMiner
Likelihood to Recommend
8.8
(0 ratings)
10.0
(0 ratings)
Likelihood to Renew
-
(0 ratings)
9.0
(0 ratings)
Usability
9.1
(0 ratings)
9.0
(0 ratings)
User Testimonials
ChattermillRapidMiner
Likelihood to Recommend
Understanding the nuances of sentiment completely - not just in a black and white positive/negative way. Chattermill helps us find out insight that would only be possible through manual tagging, pulling data and hours of analysis. It's cut my data time in half while also helping our team show the work we've done with automated reports very easily
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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
  • feedback management
  • integration (Slack, Zendesk)
  • analysis (NLP and sentiment analysis is my favourite)
  • great support
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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
  • Reports do not automatically save when navigating to different pages
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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
Super easy to use and very intuitive
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Very use to use and learn
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Alternatives Considered
Chattermill is more complex, easier to integrate between systems that we used (ticketing, livechat, reporting, CRM). Very informative reports (that will reveal what your customers really think). Custom reports creation is a benefit too - it is easier than in other systems. Automatic categorization of feedback is a helpful tool that do big part of job for you
Read full review
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
  • Chattermill has transformed the way we look at customer satisfaction
  • Chattermill has helped us reduce churn
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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

Chattermill Screenshots

Screenshot of Zendesk support tickets, customer surveys, and Google Play reviews all contain valuable feedback, product improvement ideas, and customer requests. They can be consolidated in one place using Chattermill.Screenshot of A dashboard can be created in Chattermill that includes important metrics, charts, and tables for different areas of your business – CX, support, product, retail stores, – providing a shared workspace to fuel collaboration.Screenshot of Zendesk, App Store, or Typeform can be connected to Chattermill, so CX, support, and product teams can have a unified view of the voice of the customer. The platform integrates with over 50+ different sources of customer feedback – think online reviews, support tickets, customer surveys, and chat messages.Screenshot of It takes seconds to create a team dashboard that includes important metrics, charts, and tables. These can be added to a custom dashboards with a few clicks.Screenshot of Customer insights with dedicated CX metrics and various segmentation options help understand the hidden patterns and get to the root of problems and opportunities.