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
Microsoft Power Automate
Score 8.3 out of 10
N/A
Microsoft Power Automate is an advanced automation platform offering a range of features, including AI-powered automation, robotic process automation (RPA), business process automation (BPA), digital process automation (DPA), and process/task mining. The platform aims to empower organizations to securely automate their operations at scale by leveraging low-code and AI technologies.
$15
per month per user
Pricing
KNIME Analytics Platform
Microsoft Power Automate
Editions & Modules
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
Power Automate Premium
$15
per month per user
Power Automate Process
$150
per month per bot
Hosted RPA add-on
$215
per month per bot
Process Mining add-on
$5,000
per month per tenant
Offerings
Pricing Offerings
KNIME Analytics Platform
Microsoft Power Automate
Free Trial
No
Yes
Free/Freemium Version
Yes
Yes
Premium Consulting/Integration Services
No
No
Entry-level Setup Fee
No setup fee
No setup fee
Additional Details
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More Pricing Information
Community Pulse
KNIME Analytics Platform
Microsoft Power Automate
Features
KNIME Analytics Platform
Microsoft Power Automate
Platform Connectivity
Comparison of Platform Connectivity features of Product A and Product B
KNIME Analytics Platform
9.2
Ratings
10% above category average
Microsoft Power Automate
-
Ratings
Connect to Multiple Data Sources
9.60 Ratings
00 Ratings
Extend Existing Data Sources
10.00 Ratings
00 Ratings
Automatic Data Format Detection
9.10 Ratings
00 Ratings
MDM Integration
7.90 Ratings
00 Ratings
Data Exploration
Comparison of Data Exploration features of Product A and Product B
KNIME Analytics Platform
8.1
Ratings
3% below category average
Microsoft Power Automate
-
Ratings
Visualization
8.00 Ratings
00 Ratings
Interactive Data Analysis
8.10 Ratings
00 Ratings
Data Preparation
Comparison of Data Preparation features of Product A and Product B
KNIME Analytics Platform
8.3
Ratings
2% above category average
Microsoft Power Automate
-
Ratings
Interactive Data Cleaning and Enrichment
9.00 Ratings
00 Ratings
Data Transformations
9.50 Ratings
00 Ratings
Data Encryption
7.40 Ratings
00 Ratings
Built-in Processors
7.40 Ratings
00 Ratings
Platform Data Modeling
Comparison of Platform Data Modeling features of Product A and Product B
KNIME Analytics Platform
8.0
Ratings
5% below category average
Microsoft Power Automate
-
Ratings
Multiple Model Development Languages and Tools
9.50 Ratings
00 Ratings
Automated Machine Learning
8.20 Ratings
00 Ratings
Single platform for multiple model development
9.30 Ratings
00 Ratings
Self-Service Model Delivery
5.00 Ratings
00 Ratings
Model Deployment
Comparison of Model Deployment features of Product A and Product B
KNIME Analytics Platform has vastly improved our effectiveness when working with large data sets. The self documenting GUI allows analysts to focus on what they are trying to accomplish, not complex code syntax. If we were to use traditional tools, like SQL, work would take much longer and it would be more difficult to collaborate both internally and with clients. Since KNIME Analytics Platform is database oriented, some spreadsheet functions are not supported, which is as it should be. For small data sets we often use Excel vlookup and pivot tables in place of KNIME Analytics Platform. If VBA code is requried, we go to KNIME Analytics Platform as we find VBA to be unstable in Excel.
We replaced all the classic SharePoint and Nintex-based workflows with Power Automate. This saved extra licensing costs and getaways from managing legacy workflows. Power Automate Designer is very user-friendly and requires no additional learning curve. We also use it to replace RPA solutions created with other platforms using the Power Automate Desktop application.
Visual programming as oppose to scripting encourages data analysts to reap deeper insights from their data
Large community contribution in extending the KNIME Analytics Platform into other areas of analytics, e.g. Text Analytics, Predictive Analytics, ML, etc.
Open source with periodic updates ensures it is equipped to deal with the most sophisticated data analytics use case
Automation - e.g. RapidMiner Studio provides a Turbo Prep function, where one can get to working on models more quickly (RapidMiner is not open source though)
KNIME does not replace a regular reporting tool - it is not meant to. However, if I have already spent some time developing a data acquisition and analytical model, it would be nice to be able to deploy, for example, a monitoring or reporting module that would process data autonomously and react accordingly.
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
Power Automate is a great product that has a vast array of options on how to use it. Your imagination is the only hurdle with using Power Automate as there is no limit to what can be done with the system. It has brought a lot of value to our business through the use of custom systems, connectors, and streamlining processes.
The training KNIME Analytics Platform provide helps you get to grips with a product that is already very intuitive. There is a KNIME Analytics Platform way of thinking about addressing problems, but once you understand a couple of patterns which you see again and again in your workflow it all makes sense.
For most tasks WinAutomation is great and easy to use. You just set up tasks on a step by step basis and you can even tell the program what to do when there is an error (such as continue with job). Sometimes with complicated web extraction jobs it would be good to be able to easily extract data from the web page source.
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.
both Community support and Microsoft official support typically respond to (and resolve) reported issues in a VERY expedient manner, usually going above and beyond for education and bugfixing. I have been thoroughly impressed with the level of support I had been provided in the past.
after reviewing the main features of Power Automate, the Microsoft trainer focused on some of our real life use cases implementation, from simple to more advanced.
although it was productive, it is more difficult to stay focused and in a 7 hours a day online training (including screen share issues and the fact that the trainer just can't precisely show the exact location of your mistake)
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.
I had to migrate from Robocorp to Power Automate. The automation was using API and sharepoint. So it was better to use Power Automate instead of Robocorp so we did the migration. in some areas the migration was easy but creating flows and making it smaller codes was difficult. Debugging the code was tough so we took lots of time.
There are two aspects which put KNIME Analytics Platform ahead of other products. Firstly the fact that KNIME Analytics Platform comes at no cost and no restrictions on its use is an instant winner for any organisation wanting to democratise their data. It means that a client is free to install it on as many machines as they wish without worrying about costs, the number of seats required or payment models or procurement negotiation. It also means that we are not building costs into our clients business. Secondly, KNIME Analytics Platform has a very comprehensive set of tools for importing/exporting data, data manipulation and data science. Some products offer analytics packages on top of their base offering at additional cost and they are still not as comprehensive as what you get with KNIME Analytics Platform for free. For some types of analysis you may require to download additional packages with KNIME Analytics Platform, but its invariably at no cost, those packages are kept out of the main download to keep the size down. Due to the easy integration with R and Python, I view KNIME Analytics Platform as also having the capabilities of those languages too. This has helped me in the past with seamlessly importing a rare filetype and using very specific models not directly available in KNIME Analytics Platform.
Power Automate can do many things that most platforms can't do as a 'citizen-developer' with no access to coding tools and deployment. It allows you to develop and deploy low/no-cost automation flows quickly. The blocks in Powert Automate do the API work for you, where you only need to connect the key data points and actions taken.
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.