DataRobot vs. KNIME Analytics Platform

Overview
ProductRatingMost Used ByProduct SummaryStarting Price
DataRobot
Score 8.9 out of 10
N/A
The DataRobot AI Platform is presented as a solution that accelerates and democratizes data science by automating the end-to-end journey from data to value and allows users to deploy AI applications at scale. DataRobot provides a centrally governed platform that gives users AI to drive business outcomes, that is available on the user's cloud platform-of-choice, on-premise, or as a fully-managed service. The solutions include tools providing data preparation enabling users to explore and…
$0
KNIME Analytics Platform
Score 8.5 out of 10
N/A
KNIME enables users to analyze, upskill, and scale data science without any coding. The platform that lets users blend, transform, model and visualize data, deploy and monitor analytical models, and share insights organization-wide with data apps and services.
$0
per month
Pricing
DataRobotKNIME Analytics Platform
Editions & Modules
No answers on this topic
KNIME Community Hub Personal Plan
$0
KNIME Analytics Platform
$0
KNIME Community Hub Team Plan
€99
per month 3 users
KNIME Business Hub
From €35,000
per year
Offerings
Pricing Offerings
DataRobotKNIME Analytics Platform
Free Trial
YesNo
Free/Freemium Version
YesYes
Premium Consulting/Integration Services
YesNo
Entry-level Setup FeeNo setup feeNo setup fee
Additional Details
More Pricing Information
Community Pulse
DataRobotKNIME Analytics Platform
Considered Both Products
DataRobot
Chose DataRobot
We selected DataRobot for its "Automated" Machine Learning. Automation allows us to easily and quickly create machine learning models. The deployment process is simple, which was another key decision factor in choosing DataRobot over other platforms. We were pleasantly …
KNIME Analytics Platform
Chose KNIME Analytics Platform
KNIME is a lower price point and has strong cross platform capabilities. Other platforms are locked to a specific operating system and cost in some cases substantially more, making them less good choices for smaller businesses that still need basic data unification. The fact …
Top Pros
Top Cons
Features
DataRobotKNIME Analytics Platform
Platform Connectivity
Comparison of Platform Connectivity features of Product A and Product B
DataRobot
7.1
54 Ratings
16% below category average
KNIME Analytics Platform
9.1
19 Ratings
9% above category average
Connect to Multiple Data Sources6.149 Ratings9.619 Ratings
Extend Existing Data Sources5.844 Ratings10.010 Ratings
Automatic Data Format Detection8.452 Ratings9.019 Ratings
MDM Integration8.024 Ratings7.98 Ratings
Data Exploration
Comparison of Data Exploration features of Product A and Product B
DataRobot
7.9
53 Ratings
7% below category average
KNIME Analytics Platform
8.0
18 Ratings
5% below category average
Visualization8.052 Ratings8.018 Ratings
Interactive Data Analysis7.851 Ratings8.018 Ratings
Data Preparation
Comparison of Data Preparation features of Product A and Product B
DataRobot
7.7
52 Ratings
6% below category average
KNIME Analytics Platform
8.3
19 Ratings
2% above category average
Interactive Data Cleaning and Enrichment7.445 Ratings9.019 Ratings
Data Transformations7.550 Ratings9.419 Ratings
Data Encryption8.026 Ratings7.47 Ratings
Built-in Processors8.042 Ratings7.48 Ratings
Platform Data Modeling
Comparison of Platform Data Modeling features of Product A and Product B
DataRobot
8.6
55 Ratings
2% above category average
KNIME Analytics Platform
7.9
18 Ratings
6% below category average
Multiple Model Development Languages and Tools7.746 Ratings9.417 Ratings
Automated Machine Learning9.255 Ratings8.217 Ratings
Single platform for multiple model development9.052 Ratings9.218 Ratings
Self-Service Model Delivery8.451 Ratings5.08 Ratings
Model Deployment
Comparison of Model Deployment features of Product A and Product B
DataRobot
8.3
49 Ratings
2% below category average
KNIME Analytics Platform
7.3
11 Ratings
15% below category average
Flexible Model Publishing Options8.449 Ratings8.611 Ratings
Security, Governance, and Cost Controls8.243 Ratings5.94 Ratings
Best Alternatives
DataRobotKNIME Analytics Platform
Small Businesses
IBM SPSS Modeler
IBM SPSS Modeler
Score 7.8 out of 10
IBM SPSS Modeler
IBM SPSS Modeler
Score 7.8 out of 10
Medium-sized Companies
Mathematica
Mathematica
Score 8.2 out of 10
Mathematica
Mathematica
Score 8.2 out of 10
Enterprises
IBM SPSS Modeler
IBM SPSS Modeler
Score 7.8 out of 10
IBM SPSS Modeler
IBM SPSS Modeler
Score 7.8 out of 10
All AlternativesView all alternativesView all alternatives
User Ratings
DataRobotKNIME Analytics Platform
Likelihood to Recommend
8.2
(59 ratings)
9.6
(22 ratings)
Likelihood to Renew
6.3
(4 ratings)
9.4
(4 ratings)
Usability
-
(0 ratings)
9.0
(3 ratings)
Support Rating
8.2
(5 ratings)
9.0
(6 ratings)
Implementation Rating
-
(0 ratings)
7.0
(2 ratings)
Ease of integration
-
(0 ratings)
10.0
(1 ratings)
User Testimonials
DataRobotKNIME Analytics Platform
Likelihood to Recommend
DataRobot
DataRobot can be used for risk assessment, such as predicting the likelihood of loan default. It can handle both classification and regression tasks effectively. It relies on historical data for model training. If you have limited historical data or the data quality is poor, it may not be the best choice as it requires a sufficient amount of high-quality data for accurate model building.
Read full review
KNIME
KNIME Analytics Platform is excellent for people who are finding Excel frustrating, this can be due to errors creeping in due to manual changes or simply that there are too many calculations which causes the system to slow down and crash. This is especially true for regular reporting where a KNIME Analytics Platform workflow can pull in the most recent data, process it and provide the necessary output in one click. I find KNIME Analytics Platform especially useful when talking with audiences who are intimidated by code. KNIME Analytics Platform allows us to discuss exactly how data is processed and an analysis takes place at an abstracted level where non-technical users are happy to think and communicate which is often essential when they are subject matter experts whom you need for guidance. For experienced programmers KNIME Analytics Platform is a double-edged sword. Often programmers wish to write their own code because they are more efficient working that way and are constrained by having to think and implement work in nodes. However, those constraints forcing development in a "KNIME way" are useful when working in teams and for maintenance compared to some programmers' idiosyncratic styles.
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Pros
DataRobot
  • DataRobot helps, with algorithms, to analyze and decipher numerous machine-learning techniques in order to provide models to assist in company-wide decision making.
  • Our DataRobot program puts on an "even playing field" the strength of auto-machine learning and allows us to make decisions in an extremely timely manner. The speed is consistent without being offset by errors or false-negatives.
  • It encompasses many desired techniques that help companies in general, to reconfigure in to artificial intelligence driven firms, with little to no inconvenience.
Read full review
KNIME
  • Summarize instrument level financial data with relevant statistics
  • Map transactions from core extracts to groups of like transactions using rule engines
  • Machine learning using random forests and other techniques to analyze data and identify correlations for use in predictive models
  • Fill out sampling data from averages.
Read full review
Cons
DataRobot
  • The platform itself is very complicated. It probably can't function well without being complicated, but there is a big training curve to get over before you can effectively use it. Even I'm not sure if I'm effectively using it now.
  • The suggested model DataRobot deploys often not the best model for our purposes. We've had to do a lot of testing to make sure what model is the best. For regressive models, DataRobot does give you a MASE score but, for some reason, often doesn't suggest the best MASE score model.
  • The software will give you errors if output files are not entered correctly but will not exactly tell you how to fix them. Perhaps that is complicated, but being able to download a template with your data for an output file in the correct format would be nice.
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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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Likelihood to Renew
DataRobot
DataRobot presents a machine-learning platform designed by data scientists from an array of backgrounds, to construct and develop precise predictive modeling in a fraction of the time previously taken. The tech invloved addresses the critical shortage of data scientists by changing the speed and economics of predictive analytics. DataRobot utilizes parallel processing to evaluate models in R, Python, Spark MLlib, H2O and other open source databases. It searches for possible permutations and algorithms, features, transformation, processes, steps and tuning to yield the best models for the dataset and predictive goal.
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KNIME
We are happy with Knime product and their support. Knime AP is versatile product and even can execute Python scripts if needed. It also supports R execution as well; however, it is not being used at our end
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Usability
DataRobot
No answers on this topic
KNIME
KNIME Analytics Platform offers a great tradeoff between intuitiveness and simplicity of the user interface and almost limitless flexibility. There are tools that are even easier to adopt by someone new to analytics, but none that would provide the scalability of KNIME when the user skills and application complexity grows
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Support Rating
DataRobot
As I am writing this report I am participating with Datarobot Engineers in an complex environment and we have their whole support. We are in Mexico and is not common to have this commitment from companies without expensive contract services. Installing is on premise and the client does not want us to take control and they, the client, is also limited because of internal IT regulations ,,, soo we are just doing magic and everybody is committed.
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KNIME
KNIME's HQ is in Europe, which makes it hard for US companies to get customer service in time and on time. Their customer service also takes on average 1 to 2 weeks to follow up with your request. KNIME's documentation is also helpful but it does not provide you all the answers you need some of the time.
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Implementation Rating
DataRobot
No answers on this topic
KNIME
KNIME Analytics Platform is easy to install on any Windows, Mac or Linux machine. The KNIME Server product that is currently being replaced by the KNIME Business Hub comes as multiple layers of software and it took us some time to set up the system right for stability. This was made harder by KNIME staff's deeper expertise in setting up the Server in Linux rather than Windows environment. The KNIME Business Hub promises to have a simpler architecture, although currently there is no visibility of a Windows version of the product.
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Alternatives Considered
DataRobot
I've done machine learning through python before, however having to code and test each model individually was very time consuming and required a lot of expertise. The data Robot approach, is an excellent way of getting to a well placed starting point. You can then pick up the model from there and fine tune further if you need.
Read full review
KNIME
Having used both the Alteryx and [KNIME Analytics] I can definitely feel the ease of using the software of Alteryx. The [KNIME Analytics] on the other hand isn't that great but is 90% of what Alteryx can do along with how much ease it can do. Having said that, the 90% functionality and UI at no cost would be enough for me to quit using Alteryx and move towards [KNIME Analytics].
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Return on Investment
DataRobot
  • We have been able to cut costs by not buying leads that we will not be able to sell on
  • We have been able to deploy loan eligibility reporting which brought in new business
  • We have been able to improve the performance of our credit providers and our partners which has helped to retain business
Read full review
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.
Read full review
ScreenShots

DataRobot Screenshots

Screenshot of Decision FlowsScreenshot of No Code App BuilderScreenshot of AI AppsScreenshot of Automated Time SeriesScreenshot of MLOpsScreenshot of Model Insights

KNIME Analytics Platform Screenshots

Screenshot of the KNIME Modern UI. This is the the new user interface for the KNIME Analytics Platform that is available with improved look and feel as the default interface, from KNIME Analytics Platform version 5.1.0 release.Screenshot of the KNIME Analytics Platform user interface - the KNIME Workbench - displays the current, open workflow(s). Here is the general user interface layout — application tabs, side panel, workflow editor and node monitor.Screenshot of the KNIME user interface elements — workflow toolbar, node action bar, rename components and metanodes.Screenshot of the entry page, which is displayed by clicking the Home tab. From here users can; check out example workflows to get started, access a local workspace, or even start a new workflow by clicking the yellow plus button.Screenshot of the status of a KNIME node, which shows whether it's configured, not configured, executed, or has an error.Screenshot of the KNIME node action bar, which can be used to configure, execute, cancel, reset, and - when available - open the view.