KNIME Server Medium for AWS
KNIME | 4.16.9Linux/Unix, Ubuntu 22.04 LTS - 64-bit Amazon Machine Image (AMI)
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Data analysis right away
What do you like best about the product?
KNIME desktop is a powerful tool to create analytical workflows and is extremely helpful for the visual interface. It comes with multiple extensions which simplify text processing, which is a very hard to do on other similar platforms. To use this information in the IT department for manual processes, you do not need to be a data specialist. Also, in order to expand the features, you can purchase the KNIME server in the support community on KNIME's website.
What do you dislike about the product?
This is a software that is very complex and will take a while to learn. But they have many videos and examples, as well as a community of active support. Also, sometimes it can run slower when there are several nodes and extensions installed.
What problems is the product solving and how is that benefiting you?
KNIME is generally a very good software for data analysis. It is excellent for computer partners and other employees if the team is able to address the issue of slowness. By pushing a button, KNIME turned manual tasks into fast and easy tasks to perform multiple commands in files. A modular data pipeline concept is adopted on the platform, using a Java Database Connectivity and an intuitive graphical UI to assemble nodes that connect various sources of data.
Recommendations to others considering the product:
KNIME Analytics Platform is well suited for professionals with a range of computational backgrounds. It enables you to compare and guarantee the security against accidental changes to changes made by a coworker of different versions.
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KNIME an open source analytics platform
What do you like best about the product?
The best part about KNIME is that it is free of cost so if you are a beginner and you want to learn about how analytics tools work then this is probably the best tool to start with
What do you dislike about the product?
As it is an open source software so you might not get all the cool features you have in alteryx and other paid analytics tool.
What problems is the product solving and how is that benefiting you?
It helps me to extract data from source file, transform data and loading the data to create the data warehouse. It helped me to put constraints to the input data flow so i can get the required output.
Recommendations to others considering the product:
I would recommend KNIME to beginners who are trying hard to learn data analytics as it is an open source software and once you are good with it then you can switch to alteryx or other analytics tools.
KNIME for information retrieval and advanced analytics
What do you like best about the product?
KNIME Analytics gives me the power to control exactly what happens to my data all the time, so I always take the best decisions when it comes to the management of my data and the results obtained from the analytics. It supports modern process, such as machine learning and the addition of external blocks, making it possible in a simple anD fast way.
What do you dislike about the product?
If you have never used a similar tool, KNIME may seem very hard to understand, so it will take a couple of months to learn. Also, when it comes to the community that provides support, most of them are not native english speakers, so it's hard to get in the same page when you're trying to reach for help.
What problems is the product solving and how is that benefiting you?
KNIME Analytics is one of the most important tools in my company, as it's used to solve many business problems, especially those involved in customer segmentation, information retrieval and advanced analytics. The risk analysis are very accurate and its calculations are really helpful in the development of model validation, especially those where we're using time series for low default portfolios.
Recommendations to others considering the product:
KNIME Analytics is well suited if you want to apply analytics with complex tools, such as multivariate regression using time series, and for information automation tasks. I have used similar tools, such as RapidMiner Studio, but I got to say that KNIME Analytics performs a lot better and brings great results.
Do dataset related tasks with SAS
What do you like best about the product?
KNIME's UI is very helpful that it really helps to make it look visually simply. I know a lot about coding, but some of my co-workers only have basic knowledge, and they still use KNIME with no problem, as it's not necessary to code if you want to perform data mining, and you can even obtain a graphic of the data being processed. On the other hand, if you know how to code and you're familiar with Python language, you can add new and functions to your analytical model in order to simplify your work.
What do you dislike about the product?
KNIME is a very hard software that's complex even for programmers and coders. However, you can find videos and documents online, created by the same community, that will guide you through the platform. Also, visualization is not good enough. I think it can improve in order to make it more visually comprehensive.
What problems is the product solving and how is that benefiting you?
We use KNIME Analytics in daily basis to do dataset related tasks. It is used in the IT department, specifically by the DevOps division of the company.
Recommendations to others considering the product:
KNIME is well-suited for enterprises looking for a tool that's easy to understand and has a low cost. It's important you have taken your time to determining how is your data acquisition and analytical model, so you can conclude which exact module of KNIME do you need to use. It's always a good idea to read the description of the modules until you find the one that's most suited for your needs.
Great data analysis and predictive analysis tool
What do you like best about the product?
Very useful for analyzing large data sets. It's very easy to use but still very powerful for creating detailed charts.
What do you dislike about the product?
If you are not familiar with R or python this tool will be very difficult to use. It may be nice to have some additional UI to supplement users without this experience
What problems is the product solving and how is that benefiting you?
We use this primarily data analysis on our large complex data that we retrieve from our internal application usage
Create actionable insights using KNIME Analytics
What do you like best about the product?
KNIME Analytics is a powerful tool for building analytical workflows. It provides many options for text parsing, especially CoreNLP and OpenNLP. Also, KNIME Analytics allows integration with open source software, such as R, Phyton and Spark. The software is free but you may purchase a server license to have a process run automatically with large amounts of data from many sources. There are built in tools for many types of supervised and unsupervised machine learning.
What do you dislike about the product?
KNIME Analytics is a very complex tool, so it has a steep learning curve. Another thing I don’t like about it is that it tends to use a lot of memory of your computer, which affects the general performance of the machine. KNIME Analytics is primary drag and drop and requires little to no coding.
What problems is the product solving and how is that benefiting you?
The use of this platform is for NLP related tasks. We were able to build a reproducible workflow for analyzing our data and creating actionable insights by just using KNIME Analytics. It was deployed in my company 2 years ago and it has proved to be a high-value predictive analytics tool, as well as an accurate way to find patterns as a data mining tool.
Recommendations to others considering the product:
The tool is very intuitive with a lot of examples to learn. I would recommend it for members of the IT department with some deep software knowledge. You and your team must master R/Phyton in order to implement this solution effectively.
Press a single button and run multiple commands
What do you like best about the product?
KNIME Analytics is very useful to analyze large data quantities with advanced algorithms. Also, you are able to code without programming because can use block modules that do a specific tasks. It comes with several extensions that make text processing an easy process, something that’s a headache in other similar platforms, and with extensions to integrate other tools, like R, into the workflows. Use and integrate with cloud and big data environments.
What do you dislike about the product?
You actually need more help than provided by block description if you want to do complex data analysis work. The user of KNIME Analytics needs to have a deep knowledge about R/Phyton in order to get the best out of the statistical analysis. If you want to do advanced data analysis and classification, it's mandatory to have engineering knowledge. There are some features that are not intuitive, such as how to use flow variables.
What problems is the product solving and how is that benefiting you?
With KNIME Analytics Platform we have turned manual tasks in easy and fast ones by just pressing a button to run multiple commands. We mainly use it for creating multivariate analysis and finding statistical significance of variables.
Recommendations to others considering the product:
Recommended for coders with some deep knowledge of R/Python. Yes, you can get a free RapidMiner license to process up to 50,000 lines of data, but this is not enough for big projects. Also, Consider KNIME Analytics does not replace a regular reporting tool.
Advanced data analysis and AI
What do you like best about the product?
When we had to go through data sources with tons of data, transforming the raw data for analysis was always the hardest part. With KNIME, this process can be automated, while the data acquisition model can be saved and run repeatedly, which saves a lot of time. It also provides a wide range of options for integration, allowing multiple languages like Python, R or Java and supporting formats like JSON and XML. What I like is that I can process large quantities of data while data cleansing and blending of tables can still be done very easily.
What do you dislike about the product?
KNIME Documentation is poor, so it’s hard to find serious ans straightforward information out there. If you have any doubt, you may find yourself struggling to find a solution. Also, some tools for script writing and development are not easy to use, so you have to run tests to see how they perform, or some of them don't have enough features.
What problems is the product solving and how is that benefiting you?
We have been using KNIME in the IT department for advanced data analysis and experiments in the machine learning field. Also, we have used it on client data analysis for running prediction models.
Recommendations to others considering the product:
KNIME Analytics Platform is a great software for data ingestion given various formats. I think it would a great fit for medium size or big companies which have to handle with complex data analysis. If you want to use for experimentation in the AI area, this will work very well too.
Great open source multi platform application for analytics
What do you like best about the product?
It's really great to have an easy to use GUI, compared to other open sourced applications that utilize the same data
What do you dislike about the product?
Certain API functionality still needs to be improved, primarily image mining plugins
What problems is the product solving and how is that benefiting you?
We use this primarily for creating data flows, integrating with mysql for our infrastructure analytics.
Data Analytics tool anyone can use. No programming skills are required
What do you like best about the product?
Ease of use, variety of nodes and functions, its integrity with Cloud platforms, possibility to implement Python, R, Java scripts. Its good that you can see the model visually, as doing ETL. That's a big plus compared to other tools and scripting.
What do you dislike about the product?
Its already slow as cost of friendly UI and becomes even slower as you install extensions. Not to mention opening the software takes a lot of time too.
What problems is the product solving and how is that benefiting you?
Reporting, Data Analytics, Data Manipulation, Advanced Analytics and Prediction
Recommendations to others considering the product:
Good tool to learn Data Analytics and disseminate the knowledge within the company, however its best to learn Python / R additional to KNIME to be capable of everything within KNIME.
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