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
Sakai
Score8.7 out of 10
N/A
Sakai is an open source learning
management system provided by the Apero Foundation. The LMS provides what it
calls Core and Expanded Features. The Core Features encompass an integrated
tool set that is tested by the Sakai community members and is then included
with each new release. The tool set can be configured by: instructors,
students, research investigators and project leaders. The other set of tools, known as “Contrib
Tools” are specific to Sakai tools and innovations that are developed…
N/A
Pricing
RapidMiner
Sakai
Editions & Modules
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
No answers on this topic
Offerings
Pricing Offerings
RapidMiner
Sakai
Free Trial
No
No
Free/Freemium Version
No
Yes
Premium Consulting/Integration Services
No
No
Entry-level Setup Fee
No setup fee
No setup fee
Additional Details
—
Must contact vendor for pricing information.
More Pricing Information
Features
RapidMiner
Sakai
Platform Connectivity
Comparison of Platform Connectivity features of RapidMiner and Sakai
Feature
RapidMiner
9.5
2 Ratings
13% above category average
Sakai
-
Ratings
Connect to Multiple Data Sources
10.02 Ratings
00 Ratings
Extend Existing Data Sources
10.02 Ratings
00 Ratings
Automatic Data Format Detection
9.02 Ratings
00 Ratings
MDM Integration
9.01 Ratings
00 Ratings
Data Exploration
Comparison of Data Exploration features of RapidMiner and Sakai
Feature
RapidMiner
9.0
2 Ratings
7% above category average
Sakai
-
Ratings
Visualization
9.02 Ratings
00 Ratings
Interactive Data Analysis
9.02 Ratings
00 Ratings
Data Preparation
Comparison of Data Preparation features of RapidMiner and Sakai
Feature
RapidMiner
8.8
2 Ratings
7% above category average
Sakai
-
Ratings
Interactive Data Cleaning and Enrichment
9.02 Ratings
00 Ratings
Data Transformations
7.02 Ratings
00 Ratings
Data Encryption
9.02 Ratings
00 Ratings
Built-in Processors
10.02 Ratings
00 Ratings
Platform Data Modeling
Comparison of Platform Data Modeling features of RapidMiner and Sakai
Feature
RapidMiner
9.0
2 Ratings
6% above category average
Sakai
-
Ratings
Multiple Model Development Languages and Tools
9.02 Ratings
00 Ratings
Automated Machine Learning
9.02 Ratings
00 Ratings
Single platform for multiple model development
9.02 Ratings
00 Ratings
Self-Service Model Delivery
9.02 Ratings
00 Ratings
Model Deployment
Comparison of Model Deployment features of RapidMiner and Sakai
Feature
RapidMiner
9.0
2 Ratings
6% above category average
Sakai
-
Ratings
Flexible Model Publishing Options
9.02 Ratings
00 Ratings
Security, Governance, and Cost Controls
9.01 Ratings
00 Ratings
Learning Management
Comparison of Learning Management features of RapidMiner and Sakai
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.
A de minimis incentive was given to thank the reviewer for their time. The incentive was not used to bias or drive a particular response, nor was the incentive contingent on a positive endorsement. More Info
I've used Sakai to supplement my Public Speaking class. Public Speaking is very much a F2F type course, so I didn't use Sakai much for course content delivery. However, I did use it to post my syllabus, post my lecture slides, communicate any class announcements, and to conduct a final exam for the class. Building the final exam was very simple and I was easily able to swap out questions to vary it from term to term. Before I was a staff member and lecturer, I used Sakai as a student. My instructor used Sakai to varying degrees. I really appreciated it being the one-stop-receptacle for all-things class related. If I somehow lost an assignment instruction sheet, I could rely on it being posted there. For multimedia work it was lacking, at that time, but I know Sakai has been updated over time and I hope that part of it has improved. If I was ever frustrated by Sakai, it was because faculty used it in a piecemeal way. It's fine not to want to use the gradebook, but don't enter some grades and not others. It's wonderful to upload class documents to it; but don't do some and not others. Whatever way you're going to use Sakai, commit to it and use it well. Your students will thank you.
A de minimis incentive was given to thank the reviewer for their time. The incentive was not used to bias or drive a particular response, nor was the incentive contingent on a positive endorsement. More Info
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.
A de minimis incentive was given to thank the reviewer for their time. The incentive was not used to bias or drive a particular response, nor was the incentive contingent on a positive endorsement. More Info
Sakai is flexible, providing a way for our customers (instructors) to customize their courses while staying in line with consistency and continuity of course design. This has allowed our courses to be far less cookie-cutter and stale. This is mostly accomplished through Sakai's LTI functionality and it's Lessons tool. This is particularly notable because not every course is the same, nor should it be. Our faculty and course developers can draw from OER resources, course text publisher assessment quiz banks and pull in content from sources from our library databases and services like YouTube.
Sakai is customizable, allowing us to pair it with our student information system to automatically create and track with student registration data - including adding new students and removing students who have elected to drop a course. The customization features also include being able to create course templates for individual schools or courses using specific tools or sequences of tools as well as a way to personalize content for students when they engage with each lesson.
Sakai is stable in the market. We have been using Sakai for almost 10 years and continue to see it improve; responding to changing trends in browser technologies, mobile platforms and accessibility requirements. Multiple programs offered over the years have been recognized by outside organizations like BestColleges.com for our programs and given high marks by students taking the courses offered in Sakai.
Sakai allows our faculty to inform it's continued evolution. We work closely with the developers, having a front seat to how things can work and function for our faculty. There have been multiple occasions where faculty ask, "Can Sakai do this?" and the answer is never "No."
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.
A de minimis incentive was given to thank the reviewer for their time. The incentive was not used to bias or drive a particular response, nor was the incentive contingent on a positive endorsement. More Info
A de minimis incentive was given to thank the reviewer for their time. The incentive was not used to bias or drive a particular response, nor was the incentive contingent on a positive endorsement. More Info
A de minimis incentive was given to thank the reviewer for their time. The incentive was not used to bias or drive a particular response, nor was the incentive contingent on a positive endorsement. More Info
Sakai is a good general learning management system - it is not leading edge but rather a stable system with standard learning management system features. It can be fairly easily customized and is fairly easy to learn from both student learning and faculty administrative vantage points. New paradigms for online learning though are emergent so the current field should also be investigated with competitors.
A de minimis incentive was given to thank the reviewer for their time. The incentive was not used to bias or drive a particular response, nor was the incentive contingent on a positive endorsement. More Info
A de minimis incentive was given to thank the reviewer for their time. The incentive was not used to bias or drive a particular response, nor was the incentive contingent on a positive endorsement. More Info
When faculty are preparing courses from term to term, a portion of the content is static within a specific discipline. The time it takes to import past lessons into new versions of Sakai can be an inefficient use of my time. When I want to add new content and edit from the old content, it's reliant upon me to cut and paste the content from term to term rather than simply import and edit from a backup.
A de minimis incentive was given to thank the reviewer for their time. The incentive was not used to bias or drive a particular response, nor was the incentive contingent on a positive endorsement. More Info
Since Sakai is open-source their documentation is often lacking and support is absolutely needed onsite. Internal documentation is more important with Sakai than other services. The Sakai community is fun, passionate, engaged, and absolutely doing their best, but it's an uphill battle against the current market and trends.
A de minimis incentive was given to thank the reviewer for their time. The incentive was not used to bias or drive a particular response, nor was the incentive contingent on a positive endorsement. More Info
A de minimis incentive was given to thank the reviewer for their time. The incentive was not used to bias or drive a particular response, nor was the incentive contingent on a positive endorsement. More Info
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.
A de minimis incentive was given to thank the reviewer for their time. The incentive was not used to bias or drive a particular response, nor was the incentive contingent on a positive endorsement. More Info
As an adjunct professor, I didn't pick Sakai for the university. I have experience with Moodle, Blackboard, eCollege, iBoard and now Sakai. I would have to say that Sakai is one of my all time favorite LMSs to use as it is very easy to navigate.
A de minimis incentive was given to thank the reviewer for their time. The incentive was not used to bias or drive a particular response, nor was the incentive contingent on a positive endorsement. More Info
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
A de minimis incentive was given to thank the reviewer for their time. The incentive was not used to bias or drive a particular response, nor was the incentive contingent on a positive endorsement. More Info
Sakai makes it easy for students to monitor grades which puts their minds at ease.
Sakai makes it easy for teachers to assign and receive assignments from students.
Communication is one of the most important and one of the most taxing parts of an educational system. Sakai makes this process just a little bit easier.
A de minimis incentive was given to thank the reviewer for their time. The incentive was not used to bias or drive a particular response, nor was the incentive contingent on a positive endorsement. More Info