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 compete in the data analytics and machine learning category. Alteryx offers a seamless no-code experience, especially when integrating with visualization tools, whereas KNIME's flexibility and extensive language integration make it advantageous for complex analytics.
Features: Alteryx offers intuitive drag-and-drop capabilities for data blending and predictive analytics, eliminating the need for coding. Its integration with Tableau enhances data visualization, and its ability to handle extensive datasets makes it suitable for large-scale analytics. KNIME provides robust machine learning features and extensive customization options. Its open-source nature and integration with Python and R allow for advanced data processing and analytics customization, making it ideal for complex use cases.
Room for Improvement: Alteryx could benefit from enhanced visualization capabilities and a modernized user interface. Its cloud integration could be improved, and its pricing model might become more competitive. KNIME users highlight the need for better data visualization tools, improved performance with large datasets, and superior documentation to facilitate seamless platform integration.
Ease of Deployment and Customer Service: Alteryx offers an on-premises deployment model supported by a vibrant user community and provides extensive technical support, though premium support might incur extra fees. KNIME Business Hub provides a free community desktop version focusing on flexibility via its open-source nature. However, its customer service is more community-driven, which may lack immediacy.
Pricing and ROI: Alteryx is a high-cost product with substantial ROI due to its efficient resource management, although its price might limit appeal for smaller teams. KNIME Business Hub represents a cost-effective option with a free version for smaller teams and educational purposes. Its paid server version is affordably priced, promoting enhanced team collaboration, offering a different value proposition compared to Alteryx’s higher price point.
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 | 7.5% |
| Alteryx | 3.8% |
| Other | 88.7% |
| 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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