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RapidCanvas has been widely used to address various coding challenges and facilitate efficient prototyping. Users have found the platform …
Overview
What is RapidCanvas?
RapidCanvas provides an enterprise-grade no-code platform for data practitioners to go from raw data to ML applications rapidly. RapidCanvas taps into full-cycle autoML and a network of domain experts to deliver results. The vendor states customers using RapidCanvas have reduced…
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What is RapidCanvas?
RapidCanvas provides an enterprise-grade no-code platform for data practitioners to go from raw data to ML applications rapidly. RapidCanvas taps into full-cycle autoML and a network of domain experts to deliver results. The vendor states customers using RapidCanvas have reduced time to value, and…
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- No setup fee
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- Free Trial
- Free/Freemium Version
- Premium Consulting/Integration Services
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Product Details
- About
- Competitors
- Tech Details
What is RapidCanvas?
RapidCanvas provides an enterprise-grade no-code platform for data practitioners to go from raw data to ML applications rapidly. RapidCanvas taps into full-cycle autoML and a network of domain experts to deliver results. The vendor states customers using RapidCanvas have reduced time to value, and improved model results with their solution.
RapidCanvas Features
Platform Connectivity Features
- Supported: Connect to Multiple Data Sources
- Supported: Automatic Data Format Detection
Data Exploration Features
- Supported: Visualization
- Supported: Interactive Data Analysis
Data Preparation Features
- Supported: Interactive Data Cleaning and Enrichment
- Supported: Data Transformations
Platform Data Modeling Features
- Supported: Automated Machine Learning
- Supported: Single platform for multiple model development
- Supported: Self-Service Model Delivery
Model Deployment Features
- Supported: Flexible Model Publishing Options
RapidCanvas Competitors
RapidCanvas Technical Details
| Deployment Types | Software as a Service (SaaS), Cloud, or Web-Based |
|---|---|
| Operating Systems | Unspecified |
| Mobile Application | No |
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Reviews and Ratings
(3)
Community Insights
TrustRadius Insights are summaries of user sentiment data from TrustRadius reviews and, when necessary, 3rd-party data sources. Have feedback on this content? Let us know!
- Business Problems Solved
RapidCanvas has been widely used to address various coding challenges and facilitate efficient prototyping. Users have found the platform particularly effective for handling large volumes of numerical data, such as network traffic. By leveraging RapidCanvas, they are able to preprocess, cluster, and classify this data with ease.
Customers have also benefited from RapidCanvas when it comes to validating hypotheses and developing proof of concepts for their data science projects. The platform's user-friendly interface allows them to quickly test and validate their ideas, leading to faster project progress. Reviewers have highly praised RapidCanvas for its simplicity and the speed at which hypotheses can be tested.
Solution providers have utilized RapidCanvas to develop machine learning classifiers for intrusion detection systems in the internet of things environment. Additionally, end-users have leveraged the platform to build and deploy machine learning proof of concepts tailored to their specific needs. One noteworthy feature of RapidCanvas is its ability to create easily interpretable models by facilitating the creation of data preprocessing and machine learning algorithms.
The visualization capabilities of RapidCanvas have garnered positive feedback from users who appreciate being able to visualize each step of their pipeline. This enables them to easily track the progress of their projects and gain a better understanding of their data. Overall, RapidCanvas has proven itself as a valuable tool for structured coding, pair coding, prototyping, handling large amounts of numerical data, validating hypotheses, developing proof of concepts, building machine learning classifiers, and visualizing project pipelines.
Reviews
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Score 10 out of 10
Vetted Review
Verified User
We use RapidCanvas for quickly building and deploying Machine Learning proof of concepts for end-users. The platform enables to create several blocks with data preprocessing and Machine Learning algorithms and allow you to build a model whose pipeline can be easily interpreted by technical and non technical stakeholders. The interface also allows for the visualization of each step of the pipeline.
- Simplifying Machine Learning
- Block-Oriented Programming
- Ease of use of templates
- User Interface
- Ease of use for building ML applications
75%
7.5
90%
9.0
70%
7.0
80%
8.0
60%
6.0
- Saves development time
- Speeds up communication in user
December 27, 2022
Great tool to implement ML classification
Score 7 out of 10
Vetted Review
Verified User
I am solution provider of RapidCanvas. The implementation of the machine learning classifier has been done for the development of intrusion detection system for the internet of things environment. The developed classifiers has been compared and analyzed using various charts such as RoC graph, confusion matrix and various performance metrics
- Design. Of ml
- Loading high amount of data
- Generating visualization charts
- Need to develop for text input
- Need to include deep leaning package
- Need to import image processing package
- Uploading large dataset
- Handling of large dataset at high speed
- Easy implementation of ML
65%
6.5
70%
7.0
70%
7.0
76.66666666666667%
7.7
70%
7.0
- It help to analyze network traffic
- It is good for tabular data
- Good for visualization purpose
December 19, 2022
Great tool, easy to use, and fast to validate the hypothesis
Score 10 out of 10
Vetted Review
Verified User
I use RapidCanvas in my organization to develop fast POCs (proof of concepts) for my data science projects.It is an excellent platform that is easy to use, and we can test and validate our hypothesis as quickly as possible.My team always wanted a platform like that for fast validation and ease to use, it was great, and we like the platform.
- Fast development
- Easy to use
- Straight to the point
- I like everything
- Easy to use
- Quick to develop
100%
10.0
100%
10.0
100%
10.0
100%
10.0
100%
10.0
- Fast validation of hypothesis
- Development time-saving