TrustRadius

Domino Enterprise MLOps Platform vs. RapidMiner

Overview
ProductRatingMost Used ByProduct SummaryStarting Price
Domino Enterprise MLOps Platform
Score 8.0 out of 10
Enterprise companies (1,001+ employees)
The Domino Enterprise MLOps Platform helps data science teams improve the speed, quality and impact of data science at scale. Domino is presented as open and flexible, to empower professional data scientists to use their preferred tools and infrastructure. Data science models get into production fast and are kept operating at peak performance with integrated workflows. Domino also delivers the security, governance and compliance that enterprises expect. The Domino Enterprise MLOps…N/A
RapidMiner
Score 8.8 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
Domino Enterprise MLOps PlatformRapidMiner
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
Domino Enterprise MLOps PlatformRapidMiner
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
Domino Enterprise MLOps PlatformRapidMiner
Top Pros

No answers on this topic

Top Cons

No answers on this topic

Features
Domino Enterprise MLOps PlatformRapidMiner
Platform Connectivity
Comparison of Platform Connectivity features of Product A and Product B
Domino Enterprise MLOps Platform
-
Ratings
RapidMiner
9.5
2 Ratings
12% above category average
Connect to Multiple Data Sources00 Ratings10.02 Ratings
Extend Existing Data Sources00 Ratings10.02 Ratings
Automatic Data Format Detection00 Ratings9.02 Ratings
MDM Integration00 Ratings9.01 Ratings
Data Exploration
Comparison of Data Exploration features of Product A and Product B
Domino Enterprise MLOps Platform
-
Ratings
RapidMiner
9.0
2 Ratings
6% above category average
Visualization00 Ratings9.02 Ratings
Interactive Data Analysis00 Ratings9.02 Ratings
Data Preparation
Comparison of Data Preparation features of Product A and Product B
Domino Enterprise MLOps Platform
-
Ratings
RapidMiner
8.8
2 Ratings
7% above category average
Interactive Data Cleaning and Enrichment00 Ratings9.02 Ratings
Data Transformations00 Ratings7.02 Ratings
Data Encryption00 Ratings9.02 Ratings
Built-in Processors00 Ratings10.02 Ratings
Platform Data Modeling
Comparison of Platform Data Modeling features of Product A and Product B
Domino Enterprise MLOps Platform
-
Ratings
RapidMiner
9.0
2 Ratings
6% above category average
Multiple Model Development Languages and Tools00 Ratings9.02 Ratings
Automated Machine Learning00 Ratings9.02 Ratings
Single platform for multiple model development00 Ratings9.02 Ratings
Self-Service Model Delivery00 Ratings9.02 Ratings
Model Deployment
Comparison of Model Deployment features of Product A and Product B
Domino Enterprise MLOps Platform
-
Ratings
RapidMiner
9.0
2 Ratings
5% above category average
Flexible Model Publishing Options00 Ratings9.02 Ratings
Security, Governance, and Cost Controls00 Ratings9.01 Ratings
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Domino Enterprise MLOps PlatformRapidMiner
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Score 7.8 out of 10
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Score 7.8 out of 10
Medium-sized Companies
Mathematica
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Score 8.2 out of 10
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Score 8.2 out of 10
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IBM SPSS Modeler
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Score 7.8 out of 10
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All AlternativesView all alternativesView all alternatives
User Ratings
Domino Enterprise MLOps PlatformRapidMiner
Likelihood to Recommend
-
(0 ratings)
10.0
(18 ratings)
Likelihood to Renew
-
(0 ratings)
9.0
(1 ratings)
Usability
-
(0 ratings)
9.0
(1 ratings)
User Testimonials
Domino Enterprise MLOps PlatformRapidMiner
Likelihood to Recommend
Domino Data Lab
No answers on this topic
Altair Engineering, Inc.
RapidMiner is really fantastic to perform fast ETL processes and work on your data as you want, no matter what is the source. You will really save a lot of time when you learn how to use it. You can create mining analysis with several algorithms, and thanks to add-ons, you can apply a lot of techniques. It will not replace a business intelligence dashboard but it allows to create great datamarts for your BI tools. One negative thing is that It's no easy to share your outputs.
David Baltar Boilève | TrustRadius Reviewer
David Baltar Boilève
Business Analytics - Data Analyst
Read full review
Pros
Domino Data Lab
No answers on this topic
Altair Engineering, Inc.
  • I am very impressed at how easily you can work within RapidMiner without much data analytics training. Plus with the help of the crowd, you can see what steps others have taken with their data analytics projects.
  • Text mining was simple and clean. We used this for our call transcription problem where we didn't have the resources to listen to each call. We needed to qualify each call based on some key phrases.
  • Our direct mail program was large and not very targeted. Using RapidMiner, we were able to isolate a predictive level we felt comfortable with and decided not to send to anyone below that level. We saved quite a bit of money.
Sue Bennett | TrustRadius Reviewer
Sue Bennett
Senior Project Manager, Marketing Analytics
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Cons
Domino Data Lab
No answers on this topic
Altair Engineering, Inc.
  • I hope RapidMiner would be the first data science platform that allows data scientists to change the behaviour of a machine learning algorithm that already exists in the repository. For example, I want to be able to change the way a genetic algorithm mutates.
  • Automatic programming: One day, I hope RapidMiner can automatically generate codes in any 4th generation programming language based on the developed model.
  • More tutorials/samples needed: Why doesn't RapidMiner becomes the next 'UC Irvine Machine Learning Repository'? Provide real examples and real cases for users to study and understand the best practices in modelling. RapidMiner already has some datasets for a tutorial. Besides the existing samples, I hope RapidMiner can provide more sample data and examples.
Mohd Zakree Ahmad Nazri | TrustRadius Reviewer
Mohd Zakree Ahmad Nazri
Deputy Director & Lecturer
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Likelihood to Renew
Domino Data Lab
No answers on this topic
Altair Engineering, Inc.
Very fast and user-friendly tool
David Baltar Boilève | TrustRadius Reviewer
David Baltar Boilève
Business Analytics - Data Analyst
Read full review
Usability
Domino Data Lab
No answers on this topic
Altair Engineering, Inc.
Very use to use and learn
David Baltar Boilève | TrustRadius Reviewer
David Baltar Boilève
Business Analytics - Data Analyst
Read full review
Alternatives Considered
Domino Data Lab
No answers on this topic
Altair Engineering, Inc.
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 user-friendly.
Verified User
Anonymous
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Return on Investment
Domino Data Lab
No answers on this topic
Altair Engineering, Inc.
  • Thanks to the patters that RapidMiner has detected, we have been able to follow clues in the right direction, both for the Protein Interaction Network Analysis and for the Epilepsy Research
  • Students and participants of the machine learning workshops have learned about this technology and about the tool
Verified User
Anonymous
Read full review
ScreenShots

Domino Enterprise MLOps Platform Screenshots

Screenshot of The Domino Enterprise MLOps Platform helps data science teams improve the speed, quality and impact of data science at scale.Screenshot of The Self-Service Infrastructure Portal makes data science teams more productive with access to their preferred tools, scalable compute, and diverse data sets. By automating time-consuming DevOps tasks, data scientists can focus on the tasks at hand.Screenshot of The Integrated Model Factory includes a workbench, model and app deployment, and integrated monitoring to rapidly experiment, deploy the best models in production, ensure optimal performance, and collaborate across the end-to-end data science lifecycle.Screenshot of The System of Record has a reproducibility engine, search and knowledge management, and integrated project management. Teams can find, reuse, reproduce, and build on any data science work to amplify innovation.Screenshot of Model monitoring capabilities ensure that all production models maintain peak performance. Automated alerts provide notification when data and quality drift occurs so users can re-train, rebuild, and re-publish the model.Screenshot of Nexus is a single pane of glass to run data science and ML workloads across any compute cluster — in any cloud, region, or on-premises. It unifies data science silos across the enterprise, providing one place to build, deploy, and monitor models.