Most Helpful Review
Automated modelling, classification, or clustering are very useful. Customer support is hard to contact.
We asked business professionals to review the solutions they use. Here are some excerpts of what they said:
Automated modelling, classification, or clustering are very useful.
A lot of jobs that are stuck in Excel due to the huge numbers of rows are tackled pretty quickly.
It's very easy to use. The drag and drop feature makes it very easy when you are building and testing the streams. That's very useful.
It makes pretty good use of memory. There are algorithms take a long time to run in R, and somehow they run more efficiently in Modeler.
New algorithms are added into every version of Modeler, e.g., SMOTE, random forest, etc. The Derive node is used for the syntax code to derive the data.
We use analytics with the visual modeling capability to leverage productivity improvements.
It’s definitely scalable, it’s all on the same platform, it’s well integrated. I think the integration is important in terms of scalablility because essentially, having the entire suite helps a lot to scale it
The ease of use in the user interface is the best part of it. The ability to customize some of my streams with R and Python has been very useful to me, I've automated a few things with that.
It provides very fast problem solving and I don't need to do much coding in it. I just drag and drop.
Key features include: very easy-to-use visual interface; Help functions and clear explanations of the functionalities and the used algorithms; Data Wrangling and data manipulation functionalities are certainly sufficient, as well as the looping possibilities which help you to automate parts of the analysis.
Clear view of the data at every step of ETL process enables changing the flow as needed.
We leverage KNIME flexibility in order to query data from our database and manipulate them for any ad-hoc business case, before presenting results to stakeholders.
The product is very easy to understand even for non-analytical stakeholders. Sometimes we provide them with KNIME workflows and teach them how to run it on their own machine.
Easy to connect with every database: We use queries from SQL, Redshift, Oracle.
We are able to automate several functions which were done manually. I can integrate several data sets quickly and easily, to support analytics.
Valuable features include visual workflow creation, workflow variables (parameterisation), automatic caching of all intermediate data sets in the workflow, scheduling with the server.
Customer support is hard to contact.
It is not integrated with Qlik, Tableau, and Power BI.
Expensive to deploy solutions. You need to buy an extra deployment unit.
I understand that it takes some time to incorporate some of the new algorithms that have come out in the last few months, in the literature. For example, there is an algorithm based on how ants search for food. And there are some algorithms that have now been developed to complement rules. So that's one of the things that we need to have incorporated into it.
The standard package (personal) is not supported for database connection.
Unstructured data is not appropriate for SPSS Modeler.
Regarding visual modeling, it is not the biggest strength of the product, although from what I hear in the latest release it's going to be a lot stronger. That, to me, has always been the biggest flaw in using this. It's very difficult to get good visualization.
I think mapping for geographic data would also be a really great thing to be able to use.
They could add more detailed examples of the functionality of every node, how it works and how we can use it, to make things easier at the beginning.
The visualization functionalities are not good (cannot be compared to, for instance, the possibilities in R).
The program is not fit for handling very large files or databases (greater than 1GB); it gets too slow and has a tendency to crash easily.
The data visualization part is the area most in need of improvement.
The overall user experience feels unpolished. In particular: Data field type conversion is a real hassle, and date fields are a hassle; documentation is pretty poor; user community is average at best.
Data visualization needs improvement.
I'd like something that would make it easier to connect/parse websites, although I will fully admit that I'm not as proficient in KNIME as I would like to be, so it could be I'm just missing something.
I would like it to have data visualitation capabilities. Today I'm still creating my own data visualtions tools to present my reports.
Pricing and Cost Advice
When you are close to end of quarter, IBM and its partners can get you 60% to 70% discounts, so literally wait for the last day of the quarter for the best prices. You may feel like you are getting robbed if you can't receive a good discount.
It got us a good amount of money with quick and efficient modeling.
The scalability was kind of limited by our ability to get other people licenses, and that was usually more of a financial constraint. It's expensive, but it's a good tool.
It is a huge increase to time savings.
If you are in a university and the license is free then you can use the tool without any charges, which is good.
Having in mind all four tools from Garner’s top quadrant, the pricing of this tool is competitive and it reflects the quality that it offers.
KNIME desktop is free, which is great for analytics teams. Server is well priced, depending on how much support is required.
out of 16 in Data Mining
Average Words per Review
out of 16 in Data Mining
Average Words per Review
Compared 18% of the time.
Compared 13% of the time.
Compared 11% of the time.
Compared 40% of the time.
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Compared 8% of the time.
Also Known As
|SPSS Modeler||KNIME Analytics Platform|
IBM SPSS Modeler is an extensive predictive analytics platform that is designed to bring predictive intelligence to decisions made by individuals, groups, systems and the enterprise. By providing a range of advanced algorithms and techniques that include text analytics, entity analytics, decision management and optimization, SPSS Modeler can help you consistently make the right decisions from the desktop or within operational systems.
|KNIME is the leading open platform for data-driven innovation helping organizations to stay ahead of change. Use our open-source, enterprise-grade analytics platform to discover the potential hidden in your data, mine for fresh insights or predict new futures.|
Learn more about IBM SPSS Modeler
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Financial Services Firm25%
Financial Services Firm21%
Software R&D Company16%
Comms Service Provider20%
Financial Services Firm13%
Software R&D Company10%