KNIME Analytics Platform vs. NVIDIA RAPIDS

Overview
ProductRatingMost Used ByProduct SummaryStarting Price
KNIME Analytics Platform
Score 7.6 out of 10
N/A
Swiss company KNIME offers their KNIME Analytics Platform for big data and predictive analytics.N/A
NVIDIA RAPIDS
Score 9.8 out of 10
N/A
NVIDIA RAPIDS is an open source software library for data science and analytics performed across GPUs.N/A
Pricing
KNIME Analytics PlatformNVIDIA RAPIDS
Editions & Modules
No answers on this topic
No answers on this topic
Offerings
Pricing Offerings
KNIME Analytics PlatformNVIDIA RAPIDS
Free Trial
NoNo
Free/Freemium Version
NoNo
Premium Consulting/Integration Services
NoNo
Entry-level Setup FeeNo setup feeNo setup fee
Additional Details
More Pricing Information
Community Pulse
KNIME Analytics PlatformNVIDIA RAPIDS
Top Pros
Top Cons
Features
KNIME Analytics PlatformNVIDIA RAPIDS
Platform Connectivity
Comparison of Platform Connectivity features of Product A and Product B
KNIME Analytics Platform
7.6
9 Ratings
8% below category average
NVIDIA RAPIDS
9.1
2 Ratings
10% above category average
Connect to Multiple Data Sources7.09 Ratings9.52 Ratings
Extend Existing Data Sources7.69 Ratings8.92 Ratings
Automatic Data Format Detection7.79 Ratings9.02 Ratings
MDM Integration7.98 Ratings9.01 Ratings
Data Exploration
Comparison of Data Exploration features of Product A and Product B
KNIME Analytics Platform
5.5
9 Ratings
38% below category average
NVIDIA RAPIDS
9.5
2 Ratings
16% above category average
Visualization5.39 Ratings9.52 Ratings
Interactive Data Analysis5.79 Ratings9.52 Ratings
Data Preparation
Comparison of Data Preparation features of Product A and Product B
KNIME Analytics Platform
7.7
9 Ratings
5% below category average
NVIDIA RAPIDS
8.9
2 Ratings
10% above category average
Interactive Data Cleaning and Enrichment7.69 Ratings7.62 Ratings
Data Transformations8.39 Ratings9.52 Ratings
Data Encryption7.37 Ratings9.01 Ratings
Built-in Processors7.48 Ratings9.52 Ratings
Platform Data Modeling
Comparison of Platform Data Modeling features of Product A and Product B
KNIME Analytics Platform
5.6
8 Ratings
38% below category average
NVIDIA RAPIDS
9.2
2 Ratings
11% above category average
Multiple Model Development Languages and Tools5.57 Ratings9.01 Ratings
Automated Machine Learning6.47 Ratings9.52 Ratings
Single platform for multiple model development5.68 Ratings9.52 Ratings
Self-Service Model Delivery5.08 Ratings9.01 Ratings
Model Deployment
Comparison of Model Deployment features of Product A and Product B
KNIME Analytics Platform
6.4
5 Ratings
26% below category average
NVIDIA RAPIDS
9.2
2 Ratings
10% above category average
Flexible Model Publishing Options6.95 Ratings9.52 Ratings
Security, Governance, and Cost Controls5.94 Ratings9.01 Ratings
Best Alternatives
KNIME Analytics PlatformNVIDIA RAPIDS
Small Businesses
Jupyter Notebook
Jupyter Notebook
Score 8.9 out of 10
Jupyter Notebook
Jupyter Notebook
Score 8.9 out of 10
Medium-sized Companies
Mathematica
Mathematica
Score 8.9 out of 10
Mathematica
Mathematica
Score 8.9 out of 10
Enterprises
Dataiku DSS
Dataiku DSS
Score 9.2 out of 10
Dataiku DSS
Dataiku DSS
Score 9.2 out of 10
All AlternativesView all alternativesView all alternatives
User Ratings
KNIME Analytics PlatformNVIDIA RAPIDS
Likelihood to Recommend
7.7
(12 ratings)
10.0
(2 ratings)
Likelihood to Renew
8.0
(1 ratings)
-
(0 ratings)
Usability
8.0
(1 ratings)
-
(0 ratings)
Support Rating
6.9
(6 ratings)
-
(0 ratings)
Implementation Rating
8.0
(2 ratings)
-
(0 ratings)
User Testimonials
KNIME Analytics PlatformNVIDIA RAPIDS
Likelihood to Recommend
KNIME
[KNIME Analytics] is greatly suited for repetitive tasks one has to perform in excel as it automates these mundane tasks. [KNIME Analytics] is also well suited for creating a seamless connection with other BI tools to enable hands-free file sharing. [KNIME Analytics] has improvements to make on the overall User interface, its data visualization package and advanced level of AI-related tasks such as text mining,
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NVIDIA
NVIDIA RAPIDS drastically improves our productivity with near-interactive data science. And increases machine learning model accuracy by iterating on models faster and deploying them more frequently. It gives us the freedom to execute end-to-end data science and analytics pipelines.
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Pros
KNIME
  • Easy to use without much knowledge of coding.
  • Connection to other languages such as JS, R, Python, etc.
  • Workflow is displayed as connected nodes which makes it easy to troubleshoot and visualize.
  • Open-source.
  • Have a decent size community that supports Q&A.
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NVIDIA
  • Visualization
  • Deep learning pipeline
  • State of the art libraries
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Cons
KNIME
  • It does not have proper visualization.
  • Some other BI tools (QlikView) have much easier functions for data interaction.
  • Some other BI tools (Tableau) can be set up much faster.
  • It is not an easy tool to use for non-tech savvy staff.
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NVIDIA
  • Its not flexible and cost effective for all sizes of organizations.
  • I appreciate it has hassle-free integration.
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Likelihood to Renew
KNIME
I am happy with the product. It provides the required functionality.
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NVIDIA
No answers on this topic
Usability
KNIME
It performs all the required functions.
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NVIDIA
No answers on this topic
Support Rating
KNIME
Since it is relatively new, there has not developed a vast previously asked/frequently asked questions library that comes up when you google an issue you come across with. This will happen only in time, and as the community grows. Because of the same reason, the community is not big. Consequently, it is possible not to receive good, fast responses to asked questions in community hubs and forums.
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NVIDIA
No answers on this topic
Alternatives Considered
KNIME
  • Alteryx : allows for generally "data" knowledgeable workers to easily implement and develop a data model in an automated fashion. The collaboration tools built in also make is easy for members to share work, best practices, and custom modules
  • Alteryx is not cloud based solution where as KNIME Analytics has that
  • Alteryx was selected due to better user interface and better in data analytics
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NVIDIA
RAPIDS GPU accelerates machine learning to make the entire data science and analytics workflows run faster, also helps build databases and machine learning applications effectively. It also allows faster model deployment and iterations to increase machine learning model accuracy. The great value of money.
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Return on Investment
KNIME
  • It is suited for data mining or machine learning work but If we're looking for advanced stat methods such as mixed effects linear/logistics models, that needs to be run through an R node.
  • Thinking of our peers with an advanced visualization techniques requirement, it is a lagging product.
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NVIDIA
  • Efficient way to complete tasks
  • De-facto GPUs standard
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ScreenShots