Iguazio, headquartered in Herzliya, provides a Data Science Platform to automate machine learning pipelines. It aims to accelerate the development, deployment and management of AI applications at scale, enabling data scientists to focus on delivering better, more accurate and more powerful solutions instead of spending their time on infrastructure. The platform is open and deployable anywhere - multi-cloud, on prem or edge. The vendor states Iguazio powers real-time data science applications for…
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
Iguazio
RapidMiner
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
Iguazio
RapidMiner
Free Trial
No
No
Free/Freemium Version
No
No
Premium Consulting/Integration Services
No
No
Entry-level Setup Fee
No setup fee
No setup fee
Additional Details
—
—
More Pricing Information
Community Pulse
Iguazio
RapidMiner
Features
Iguazio
RapidMiner
Platform Connectivity
Comparison of Platform Connectivity features of Product A and Product B
Iguazio
9.9
Ratings
17% above category average
RapidMiner
9.5
Ratings
13% above category average
Connect to Multiple Data Sources
10.00 Ratings
10.00 Ratings
Extend Existing Data Sources
10.00 Ratings
10.00 Ratings
Automatic Data Format Detection
10.00 Ratings
9.00 Ratings
MDM Integration
9.50 Ratings
9.00 Ratings
Data Exploration
Comparison of Data Exploration features of Product A and Product B
Iguazio
9.7
Ratings
15% above category average
RapidMiner
9.0
Ratings
7% above category average
Visualization
9.50 Ratings
9.00 Ratings
Interactive Data Analysis
10.00 Ratings
9.00 Ratings
Data Preparation
Comparison of Data Preparation features of Product A and Product B
Iguazio
9.7
Ratings
17% above category average
RapidMiner
8.8
Ratings
8% above category average
Interactive Data Cleaning and Enrichment
10.00 Ratings
9.00 Ratings
Data Transformations
9.50 Ratings
7.00 Ratings
Data Encryption
9.50 Ratings
9.00 Ratings
Built-in Processors
10.00 Ratings
10.00 Ratings
Platform Data Modeling
Comparison of Platform Data Modeling features of Product A and Product B
Iguazio
9.7
Ratings
15% above category average
RapidMiner
9.0
Ratings
7% above category average
Multiple Model Development Languages and Tools
10.00 Ratings
9.00 Ratings
Automated Machine Learning
9.50 Ratings
9.00 Ratings
Single platform for multiple model development
10.00 Ratings
9.00 Ratings
Self-Service Model Delivery
9.50 Ratings
9.00 Ratings
Model Deployment
Comparison of Model Deployment features of Product A and Product B
It is built in a way that supports low latency real-time data processing. The model can be triggered using different streaming engines without the need to write additional codes. It has serverless that enables developers to write code [that] automatically transform to auto-scaling production workload, significantly reducing time to market and resources.
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.)
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
Iguazio provides a generic and easy to use mechanism to describe and track code,metadata,inputs and outputs of machine learning related tasks(executions). Users is able to track various elements, store them in a database and presents all running jobs as well as historical jobs in a single report. With Iguazio MLOps platform, data engineers,data scientist and MLOps engineers work in an unified environment with processes that increase productivity right out of the box.
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.