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
Considered Both Products
KNIME Analytics Platform
Verified User
Anonymous
Chose KNIME Analytics Platform
Alteryx is a very similar product, almost all the things that are achievable in KNIME Analytics Platform can be done in Alteryx as well, but you have to pay for the Desktop version to conduct the analysis. But with KNIME Analytics Platform it is totally free and can be used …
As a commercial product Alteryx is more polished and can be even easier for a beginner, but KNIME beats Alteryx in functionality and performance. Dataiku takes the integration with Python and Git further than KNIME but isn't at the level of Alteryx and KNIME with its No …
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 …
Our organization also reviewed the Alteryx platform. From our experience KNIME had more functionality, was more stable, responsive, had more features, and was overall a better product from our experience. Alteryx is also a paid product, while KNIME is free.
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
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% …
Knime is a more flexible option in some ways, allowing for more data manipulation if you can find the right node. It is not as scaleable in some cases, and some tasks are just easier and faster on SQL databases. It does not build charts or reports as easily as a Tableau and …
Data Scientist - Biotech Data Science Digtialization (BDSD)
Chose KNIME Analytics Platform
KNIME Analytics Platform has a nice visualization comparing to Azure Machine Learning Studio. KNIME also has a good amount of built-in preprocessing nodes and ML training nodes that makes it easier to develop workflow instead of writing codes. However this also limits the …
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 …
Comparing the KNIME Analytics Platform to Anaconda and MATLAB, KNIME Analytics Platform's upsides are ease of use thanks to graphical interface and intuitiveness, no requirement of programming/coding and pre-existing nodes. Anybody can use it and create models even though …
We need to use SAS/STAT package within SAS to use the advanced statistical functions, but KNIME has inbuilt libraries for the same. Also, the integration with Open source (Python, R, Java codes) allows better scalability & more availability of skilled resources to work upon.
Knime is much more user simple than any high-level programming language. The ability to connect nodes ad produces outputs in minutes is a large benefit for this program
In our experience, Microsoft Power Automate fails with throttling and became unusable to meet our client deadlines. Nintex did not experience throttling issues for us.
Firstly, it came with organizational license, so it was available to everyone, for some of the automations that we're not able to do so when we took license for other tools it was more difficult and tedious to do hence, we had to shift back to Microsoft Power Automate. License …
Microsoft Power Automate is worlds ahead of Zapier in so many ways. The looping, DOM access, and flow controls are much better. I feel that accessing different data within previous connectors used in a flow is much easier in Microsoft Power Automate as well.
The Microsoft Power Automate have the browser based access which doesn't require any tool installation separately. Whereas for the Uipath, many dependencies are needed for the flows. We need to purchase the separate License for the UiPath but in case of the Power Automate, it …
I have only used Microsoft Power Automate as our organization is using microsoft ecosystem and i can access its features easily. With new features it is sufficient enough for my use as if now. I would recommend it for those who are in microsoft ecosystem to use it is capable …
I have many years of experience with Nintex applications and it stands up very well against Microsoft Power Automate. I hope Microsoft Power Automate can become the better workflow application. With the Integrated AI builder and continuous updates I expect they can become the …
Power Automate beats UiPath basically from a costing perspective. I prefer Power Automate over UiPath because of its different costing segments that make it way cheaper than UiPath.
SmartSheet provides a number of functions when it comes to dealing with and showcasing tabular …
User Interface and Ease of Use, Integration Capabilities, Bot Development, Cognitive Services and AI Integration, Scalability, Pricing, Community and Support. The most thing that Power Automate stands out from others is the Pricing models as it is way more cheap than Automation …
UIPath allows for automation of saving email attachments but the time required to create this automation is a great deal longer than Microsoft Power Automate.
Microsoft Power Automate is a Low-Code,No-Code approach making it easy for a beginner to learn and understand. The integration with microsoft ecosystem is an advantage. The cost is less when compared to uipath. There are pre built templates available and the AI integration is …
Microsoft Power Automate is the platform we can say very user friendly You need not to know the coding and programme you just need to enter the flow you wanted and you are set . You no need lengthy program and eventually no time is required. Very productive tool we are using …
Power Automate is a no-code/low-code solution tailored for workflow automation, data integration, and AI integration, making it an excellent choice for Microsoft-centric organizations. OutSystems, on the other hand, is a comprehensive application development platform, offering …
Power Automate is very well integrated with Microsoft office 365 suit, Teams channel and SharePoint online. The workflow UI is very user-friendly and the users from non-technical background can easily understand the tool and start automating any simple and complex workflows. …
Power Automate is much more powerful than IFTTT or Zapier, and the cost is included in our current license. IFTTT is sometimes too simple in their API capabilities, and Zapier charges per process which means the high frequency tasks that we most want to automate quickly get …
Both have their use cases. Nintex Automation Cloud allows external users to submit forms, which Microsoft PowerAutomate or PowerApps doesn't allow. (Power Pages is very costly)
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.