KNIME Server Medium for AWS
KNIME | 4.16.9Linux/Unix, Ubuntu 22.04 LTS - 64-bit Amazon Machine Image (AMI)
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Optimized data analytical software
What do you like best about the product?
It is a open source software which gives an advantage of not using much space in system and we can perform data sorting and other activities easily and timely for the client
What do you dislike about the product?
It has limited features for data analytics which makes it less popular among users. And people prefer other softwares. If the company makes some more features in this than it will pe popular
What problems is the product solving and how is that benefiting you?
I have used this software for data sorting and cleaning for large data sets. And made some unique features from this to help my understanding
Recommendations to others considering the product:
If you are new to data analytics then must try this software for building better understanding about the data sets and other features
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Data Analytics Platform
What do you like best about the product?
- It is free and open source
- Simple UI
- Easy to use
- Powerful tool to create analytical workflows
- No coding is required to execute workflows
- Number of nodes and extensions available
- Drag and drop feature for nodes and extensions
- Able to know data status of each step
- Simple UI
- Easy to use
- Powerful tool to create analytical workflows
- No coding is required to execute workflows
- Number of nodes and extensions available
- Drag and drop feature for nodes and extensions
- Able to know data status of each step
What do you dislike about the product?
- Slow loading time
- Beginners will require some time to learn this tool
- Sometimes, it can run slower when you are using number of nodes and extensions
- Beginners will require some time to learn this tool
- Sometimes, it can run slower when you are using number of nodes and extensions
What problems is the product solving and how is that benefiting you?
It is generally a good software for data analysis. We are using this tool for statistical data analytics in our organization. It help us to mining our large set of data in timely manner.
Handling our overall Analytical Needs
What do you like best about the product?
Data Mining : Well this is the best feature they offer. Usually, through our API, we were feedinbg around 2 GB worth of data every day. Slicing, dicing and all other data mining can be done smoothly.
What do you dislike about the product?
Not Beginner Friendly: To be honest I'm actually quite proficient in this software. However, if I think from my intern's perspective I would say this software is very complicated.
What problems is the product solving and how is that benefiting you?
Before implementing KNIME we were using SAP BI. It does not have the required superfast slicing and dicing of data. So using KNIME not we are mining data easily.
Easy to use and understand
What do you like best about the product?
The drag and drop, which makes it easy to use. I also like the light system that tells you the status of each step. I also like the fact that it is very flexible and it is great to experiment without significant risk of messing up the process.
What do you dislike about the product?
The only thing I would say I disliked is the fact that once you have done your analysis, to share the analysis has some restrictions which you must then pay for. But I guess that's what they have to do to make money.
What problems is the product solving and how is that benefiting you?
We have to analyze our user data as well as data from other organizations that are sent to use. We need to do separate and combined analysis and produce quarterreports.
Open Source Report and Analysis
What do you like best about the product?
Specific functions, statistics and specific calculations, automatic learning with Artificial Intelligence and integrated prediction algorithm.
What do you dislike about the product?
Running the system with different modules requires a lot of system resources, requires more program optimizations.
What problems is the product solving and how is that benefiting you?
Load data into the warehouse, optimal workflow and run prediction models.
Recommendations to others considering the product:
Data analysis and tool for all functions in system interface.
The powerful application for data analytic and machine learning
What do you like best about the product?
A lot of nodes ans extensions, easy to use and powerful.
What do you dislike about the product?
Heavy, need high spec memory to run this application.
What problems is the product solving and how is that benefiting you?
Data analytic without programming language.
Recommendations to others considering the product:
Use this application for machine learning, programming language not required such as R or Phyton
Outdated, but gets work done
What do you like best about the product?
Easy to use low code no code drag and drop feature
What do you dislike about the product?
No ready to use analytics workflow available
What problems is the product solving and how is that benefiting you?
Data cleansing and formatting. Best utilised to work multiple formats and make them into a uniform worksheet
Recommendations to others considering the product:
Better options are available for data cleansing, but knime is good if you're used to using drag and drop feature
The best tool for the integrated knowledge of the organization from start to finish
What do you like best about the product?
It is a tool from start to finish from file management, through statistics, machine learning, deep learning, selenium rpa, artificial intelligence, process automation, databases and ETL, integration with Python and R, advanced analysis, teamwork, parallelization, real big data; great
What do you dislike about the product?
nothing , is a good tool, the ability to process video in real time
What problems is the product solving and how is that benefiting you?
I have solved from inventory delivery problems, to neural network optimization, the time I have been able to save is too much compared to pure programming
Recommendations to others considering the product:
the time that has been saved on artificial intelligence and analytics issues has been quite a lot compared to traditional tools, if the tool is handled properly to a large percentage the results are incredible
Literally, thousands of modules
What do you like best about the product?
The program offers workflow checks, statistical and mathematical functions, algorithms for machine learning and sophisticated prediction algorithms. KNIME is extremely helpful in evaluating big quantities of information with sophisticated algorithms and codes without programming, since it utilizes block modules to accomplish graphical jobs. It is able to put the data processing to which you want to link your data in a certain order with others.
What do you dislike about the product?
Sometimes, I feel the UI is crowded, so it gets confusing to work on it. The language used in KNIME is simpler, but I generally find myself using R much less than usual, which is not good as I end up forgetting some basic coding skills. Another thing that I don't like is that it uses a bunch of memory on your desktop, which impacts the machine's general efficiency.
What problems is the product solving and how is that benefiting you?
In the IT department, KNIME Analytics is an extremely significant product. It has thousands of modules, a large variety of embedded instruments, ready-to-use models, and a full variety of sophisticated algorithms, so it is definitely the perfect toolbox for any analytical information researcher.
Recommendations to others considering the product:
With KNIME Advanced Analytics, you can monitor all adjustments produced to your workflows in a breeze. Since each company has distinctive business demands, you must exactly know yours in order to determine if KNIME is really the tool your company needs. Once you are fitted with this information to make the rightful purchasing choice, you will be good to go.
Great software to learn machine learning
What do you like best about the product?
Knime è un ottimo software per creare e testare modelli di machine learning utilizzando blocchi che contengono implementazioni di algoritmi utilizzati per i più disparati problemi come classificazione, regressione e clustering.
What do you dislike about the product?
There is nothing negative about this software. I found it very good to use it.
What problems is the product solving and how is that benefiting you?
I used knime to solve machine learning problems like classification and regression. knime is a great tool to study machine learning from the method point of view rather than implementation.
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