Alteryx and KNIME are leading contenders in data analytics platforms. Alteryx has the upper hand with its ease of use and feature integration despite higher costs, while KNIME's strength lies in its cost-effectiveness and community support.
Features: Alteryx offers an intuitive drag-and-drop interface, making data preparation and workflow design simple. It includes robust data blending and predictive analytics capabilities and integrates with Python for customization. KNIME provides strong data processing and modular design workflows, backed by a comprehensive library of algorithms and a supportive community, making it versatile for various analytics tasks.
Room for Improvement: Alteryx could improve its data visualization capabilities and connectors to better integrate with external tools. KNIME faces challenges with user experience, especially in handling massive datasets and could benefit from enhanced visualization features to appeal to a broader audience.
Ease of Deployment and Customer Service: Alteryx excels in community support and efficient customer service but at higher costs, while KNIME leverages its open-source community for support, although it may need to enhance resources for addressing complex issues.
Pricing and ROI: Alteryx is priced at a premium, justifying this with significant ROI due to enhanced productivity, whereas KNIME offers a free desktop version and affordable server options, appealing to budget-conscious teams seeking high functionality.
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.
Alteryx is scalable, and I would give it eight out of ten.
I have not encountered any lagging, crashing, or instability in the system during these three months of usage.
I didn't need to reach out to Alteryx for support because available documents usually provide enough information to resolve issues.
The support structure changed; initially, we received great support, however, it later became less reliable due to licensing issues and a tiered support system.
The tool could include more native connectors, such as for global ERPs, instead of requiring additional fees for these connections.
It would be beneficial if Alteryx could lower its price or introduce a loyalty program for individual consultants and freelancers like me.
For graphics, the interface is a little confusing.
Some were hesitant to pay $4000 per seat.
Alteryx is expensive.
Alteryx is more cost-effective compared to Informatica licenses, offering savings.
Alteryx is user-friendly and allows easy creation of workflows compared to Informatica PowerCenter.
I found Alteryx's ability to modify data on the fly, using in-memory processing, very useful.
It offered quick development, with the ability to process large datasets.
KNIME is more intuitive and easier to use, which is the principal advantage.
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
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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 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.
KNIME supports Windows, Linux, and Mac operating systems and is suitable for enterprises of all different sizes. With KNIME, you can perform functions ranging from basic I/O to data manipulations, transformations and data mining. It consolidates all the functions of the entire process into a single workflow. The solution covers all main data wrangling and machine learning techniques, and is based on visual programming.
KNIME Features
KNIME has many valuable key features. Some of the most useful ones include:
KNIME Benefits
There are many benefits to implementing KNIME. Some of the biggest advantages the solution offers include:
Reviews from Real Users
Below are some reviews and helpful feedback written by PeerSpot users currently using the KNIME solution.
An Emeritus Professor at a university says, “It can read many different file formats. It can very easily tidy up your data, deleting blank rows, and deleting rows where certain columns are missing. It allows you to make lots of changes internally, which you do using JavaScript to put in the conditional. It also has very good fundamental machine learning. It has decision trees, linear regression, and neural nets. It has a lot of text mining facilities as well. It's fairly fully-featured.”
Benedikt S., CEO at SMH - Schwaiger Management Holding GmbH, explains, “All of the features related to the ETL are fantastic. That includes the connectors to other programs, databases, and the meta node function. Technical support has been extremely responsive so far. The solution has a very strong and supportive community that shares information and helps each other troubleshoot. The solution is very stable. The initial setup is pretty simple and straightforward.”
Piotr Ś., Test Engineer at ProData Consult, says, “What I like the most is that it works almost out of the box with Random Forest and other Forest nodes.”
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