Licensing on site I would counsel against, as on-site hardware issues tend to really delay and slow down delivery.
I do not exactly know the costs, but one of our clients pays between $100 USD and $200 USD monthly.
Licensing on site I would counsel against, as on-site hardware issues tend to really delay and slow down delivery.
I do not exactly know the costs, but one of our clients pays between $100 USD and $200 USD monthly.
KNIME is an open-source analytics software used for creating data science that is built on a GUI based workflow, eliminating the need to know code. The solution has an inherent modular workflow approach that documents and stores the analysis process in the same order it was conceived and implemented, while ensuring that intermediate results are always available.
It is free of cost. It is GNU licensed.
KNIME desktop is free, which is great for analytics teams. Server is well priced, depending on how much support is required.
It is free of cost. It is GNU licensed.
KNIME desktop is free, which is great for analytics teams. Server is well priced, depending on how much support is required.
This solution is for large corporations because not everybody can afford it.
The solution must improve its licensing models.
This solution is for large corporations because not everybody can afford it.
The solution must improve its licensing models.
We have a single user license. Support and add-ons are an extra fee.
The pricing for the software itself is reasonable, and I didn't encounter any additional costs beyond the initial purchase or license.
We have a single user license. Support and add-ons are an extra fee.
The pricing for the software itself is reasonable, and I didn't encounter any additional costs beyond the initial purchase or license.
SAS Visual Data Mining and Machine Learning combines data wrangling, data exploration, visualization, feature engineering, and modern statistical, data mining and machine learning techniques all in a single, scalable in-memory processing environment. This provides faster, more accurate answers to complex business problems, increased deployment flexibility and one easy-to-administer and fluid IT environment.
WPS is used in production on a huge range of systems at sites around the world. Thousands of analysts are using WPS in their daily data processing and analysis tasks, and thousands more rely on the heavy-lifting ability of WPS overnight and scheduled processing to deliver the information they require. Customers are able to choose to run WPS software on IBM z/OS Mainframes, servers and workstations running UNIX, Linux, Solaris, AIX, macOS and the full range of Microsoft Windows operating systems to fit in with existing or planned infrastructure.
