KNIME Analytics Platform vs. Oracle BPM Suite

KNIME Analytics Platform is excellent for people who are finding Excel frustrating, this can be due to errors creeping in due to manual changes or simply that there are too many calculations which causes the system to slow down and crash. This is especially true for regular reporting where a KNIME Analytics Platform workflow can pull in the most recent data, process it and provide the necessary output in one click. I find KNIME Analytics Platform especially useful when talking with audiences who are intimidated by code. KNIME Analytics Platform allows us to discuss exactly how data is processed and an analysis takes place at an abstracted level where non-technical users are happy to think and communicate which is often essential when they are subject matter experts whom you need for guidance. For experienced programmers KNIME Analytics Platform is a double-edged sword. Often programmers wish to write their own code because they are more efficient working that way and are constrained by having to think and implement work in nodes. However, those constraints forcing development in a "KNIME way" are useful when working in teams and for maintenance compared to some programmers' idiosyncratic styles.

Incentivized

Oracle BPM is well suited to organizations and environments that have a good understanding of their business processes and organizational structures. Trying to introduce a tool such as Oracle BPM into the organization without a good grasp on how the business operates is a recipe for disaster as the implementation will uncover all of the dirty secrets of an organizations business processes and bring them to light. BPM is not to be utilized for smaller service orchestrations or technical service implementations, these should be handled by the Oracle SOA Suite using the BPEL process manager, leaving BPM to handle the organizational business processes, referring to and including lower level services and BPEL processes as needed.

• Summarize instrument level financial data with relevant statistics
• Map transactions from core extracts to groups of like transactions using rule engines
• Machine learning using random forests and other techniques to analyze data and identify correlations for use in predictive models
• Fill out sampling data from averages.

• Oracle BPM [Suite] can support unlimited number of cases. No limitations in cases raised.
• Oracle Weblogic can handle multiple traffic. [It] can handle lots of heavy load[s].
• Oracle BPM has extensive integration with database[s]. Huge number[s] of customization can be created.

Incentivized

• It does not have proper visualization.
• Some other BI tools (QlikView) have much easier functions for data interaction.
• Some other BI tools (Tableau) can be set up much faster.
• It is not an easy tool to use for non-tech savvy staff.

Incentivized

• Oracle BPM is left behind by other tools more modern in terms of user experience, usability and ability to integrate with everything else.
• To really harvest the potential of Oracle BPM you need to do it in JDeveloper and with ADF. This restricts its usage to very technical people.
• The administration of the Oracle BPM tools has really put a burden on our team. It is running on Weblogic and we experience issues very often either with performance or with a bad configuration of the system.
• As with all Oracle products, the price can be an issue for smaller shops.

Incentivized

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

In many scenarios it should have provided more features. It took a lot of effort while debugging, making it difficult to maintain.

KNIME Analytics Platform offers a great tradeoff between intuitiveness and simplicity of the user interface and almost limitless flexibility. There are tools that are even easier to adopt by someone new to analytics, but none that would provide the scalability of KNIME when the user skills and application complexity grows

Incentivized

Not easy to debug errors.

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.

Incentivized

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.

Incentivized

Overall satisfactory

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% functionality and UI at no cost would be enough for me to quit using Alteryx and move towards [KNIME Analytics].

Incentivized

We evaluated Bonita and found that it might fit a smaller-sized company better; we found that Oracle BPM Suite scaled much more evenly. We almost went with one of the competitors, but in the end chose Oracle BPM Suite after we factored in the cost of VMware licensing. There are literally tons of analytics on the back end which are great for upper management, but not so much for average users, but this fits our business model quite well.

Incentivized

• 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.

Incentivized

• You'll most certainly need a deep dive and extensive training before your users can even think of using the product and they are very expensive.
• Lack of documentation makes it very difficult to manage the application if any error is encountered which will result in you ending up hiring a dedicated person to look into the application once it's deployed.
• For a very large org., if properly implemented and used, it can help identify the cost-intensive and inefficient processes.

Incentivized