Nov 02, 2023
I'd suggest checking out the new Actable AI as well. It has a better AutoML and a lot more advanced features like Causal ML.
Alteryx and KNIME Business Hub are two contenders in the data analytics space. Alteryx is frequently highlighted for its integration with visualization tools and robust data preparation features. KNIME Business Hub is often seen as more cost-effective and scalable, especially for those seeking an open-source solution.
Features: Alteryx provides intuitive data blending, predictive analytics, and the ability to create complex workflows through drag-and-drop operations without coding. It integrates effectively with Tableau, allowing for seamless data output to visualization platforms. The solution is known for handling large datasets efficiently, offering extensive built-in machine learning models. KNIME Business Hub is lauded for its flexible tool integration, comprehensive open-source data science capabilities, and ease of creating complex workflows graphically. It allows integration with Python and R, granting users the ability to perform various analytics tasks without heavy coding.
Room for Improvement: Alteryx users desire enhanced visualization within the platform and natural language query options, along with better interactivity and reduced costs. For KNIME, improvements in data handling capacity, with more intuitive user interfaces and better support for large datasets, are often highlighted. Users also suggest expanding its user-friendly features to make it more accessible.
Ease of Deployment and Customer Service: Alteryx supports flexible deployment options, including cloud and on-premises solutions, while offering robust community and technical support. KNIME also offers flexible deployment with strong community support, although some users report less responsiveness from technical support compared to Alteryx’s well-rated services.
Pricing and ROI: Alteryx is known for higher pricing, requiring investment for licenses and features; however, users often experience strong ROI thanks to improved productivity. KNIME, being open-source, is more cost-effective, especially for smaller teams, offering substantial capabilities with a free desktop version. It presents a budget-friendly alternative with more expenses only when server capabilities are needed.
This results in time-saving, improved data accuracy, and better productivity.
Alteryx helps familiarize managers with artificial intelligence-driven possibilities.
The customer service was not good because we weren't premium support users.
I contacted customer support once or twice, and they were quick to respond.
They could be improved with more examples of use cases, but they are fit for purpose.
While they cannot always provide immediate answers, they are generally efficient and simplify tasks, especially in the initial phase of learning KNIME.
Overall, it scales very well for departmental and enterprise use cases.
Alteryx is scalable, and I would give it eight out of ten.
I didn't need to reach out to Alteryx for support because available documents usually provide enough information to resolve issues.
I have not encountered any lagging, crashing, or instability in the system during these three months of usage.
The cost is a factor, so we're looking at solutions that are free to implement.
The support structure changed; initially, we received great support, however, it later became less reliable due to licensing issues and a tiered support system.
Stronger cloud-native capabilities and cloud integration can be enhanced to help organizations move away from on-premises setups.
For graphics, the interface is a little confusing.
The machine learning and profileration aspects are fascinating and align with my academic background in statistics.
The price is very high, with licensing typically starting around five thousand dollars plus user per year.
Some were hesitant to pay $4000 per seat.
Alteryx is more cost-effective compared to Informatica licenses, offering savings.
Alteryx not only represents data but also supports decision-making by suggesting the next steps.
Using Alteryx, complex tasks such as data cleansing, joining datasets, drive time analysis, and linear regression can be done much faster compared to manual Excel or SQL work.
Analysts who do not have any coding experience can still work on the transformation and preparation of data, which is quite useful.
It is more elastic and modern compared to SAP Data Services, allowing node creation and regrouping components or steps for reuse in different projects.
KNIME is more intuitive and easier to use, which is the principal advantage.
| Product | Market Share (%) |
|---|---|
| KNIME Business Hub | 8.7% |
| Alteryx | 4.2% |
| Other | 87.1% |
| Company Size | Count |
|---|---|
| Small Business | 32 |
| Midsize Enterprise | 15 |
| Large Enterprise | 53 |
| Company Size | Count |
|---|---|
| Small Business | 20 |
| Midsize Enterprise | 16 |
| Large Enterprise | 29 |
Alteryx can be used to speed up or automate your business processes and enables geospatial and predictive solutions. Its platform helps organizations answer business questions quickly and efficiently, and can be used as a major building block in a digital transformation or automation initiative. With Alteryx, you can build processes in a more efficient, repeatable, and less error-prone way. Unlike other tools, Alteryx is easy to use without an IT background. The platform is very robust and can be used in virtually any industry or functional area.
With Alteryx You Can:
Alteryx Features Include:
Some of the most valuable Alteryx features include:
Scalability, stability, flexibility, fast performance, no-code analytics, data processing, business logic wrapping, scheduling, ease of use, data blending from different platforms, geo-referencing, good customization capabilities, drag and drop functionality, intuitive user interface, connectors, machine learning, macros, simple GUI, integration with Python, good data transformation, good documentation, multiple database merging, and easy deployment.
Alteryx Can Be Used For:
Alteryx Benefits
Some of the benefits of using Alteryx include
:
Reviews from Real Users
"Automation is the most valuable aspect for us. The ability to wrap business logic around the data is very helpful." - Theresa M., Senior Capacity Planner at a financial services firm
"Alteryx has made us more agile and increased the speed and effectiveness of decision making." - Richard F., Director, Digital Experience & Media at Qdoba Restaurant Corporation
"The scheduling feature for the automation is excellent." - Data Analytics Engineer at a tech services company
"The product is very stable and super fast, five-star. It's significantly more stable than its nearest competitor." - Director at a non-tech company
“A complete solution with very good user experience and a nice user interface.” - Solutions Consultant at a tech services company
"There are a lot of good customization capabilities." - Advance Analytics PO at a pharma/biotech company
KNIME Business Hub offers a no-code interface for data preparation and integration, making analytics and machine learning accessible. Its extensive node library allows seamless workflow execution across various data tasks.
KNIME Business Hub stands out for its user-friendly, no-code platform, promoting efficient data preparation and integration, even with Python and R. Its node library covers extensive data processes from ETL to machine learning. Community support aids users, enhancing productivity with minimal coding. However, its visualization, documentation, and interface require refinement. Larger data tasks face performance hurdles, demanding enhanced cloud connectivity and library expansions for deep learning efficiencies.
What are the most important features of KNIME Business Hub?KNIME Business Hub finds application in data transformation, cleansing, and multi-source integration for analytics and reporting. Companies utilize it for predictive modeling, clustering, classification, machine learning, and automating workflows. Its coding-free approach suits educational and professional settings, assisting industries in data wrangling, ETLs, and prototyping decision models.
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