Alteryx and DataRobot are competitors in data analytics and machine learning. Alteryx has the upper hand in data blending and analytics, while DataRobot excels in automating machine learning tasks.
Features: Alteryx offers robust data preparation, blending, and advanced analytics capabilities. It includes geospatial analysis tools, advanced drag-and-drop functionality for workflow creation, and no-code integration options with Python and R. DataRobot stands out with automated machine learning, MLOps integration for easy deployment, and a GUI-based approach that simplifies feature engineering and model training.
Room for Improvement: Alteryx could enhance its machine learning capabilities to better support more complex models. Some users may find its setup costly and challenging in high-volume environments. Additional advanced analytics features could increase its flexibility. DataRobot needs to improve user accessibility for those less familiar with machine learning concepts. Cost-effectiveness for smaller enterprises and clearer documentation could also be beneficial. Enhancing integration with more diverse data sources would improve its adaptability.
Ease of Deployment and Customer Service: Alteryx is known for its easy installation and robust workflow-based interface, supported by responsive customer service. It offers a straightforward setup that suits data analytics users. DataRobot provides a cloud-based deployment for scalability, with expert support in machine learning. It may require a learning curve for those new to automated machine learning environments.
Pricing and ROI: Alteryx has a higher initial cost but offers significant long-term value through its comprehensive data management capabilities. DataRobot's pricing reflects its advanced machine learning automation, justifying investments aimed at model automation. Both products promise excellent ROI depending on specific business needs.
Alteryx helps familiarize managers with artificial intelligence-driven possibilities.
On average, we're saving about 10 to 15 hours per project.
The customer service was not good because we weren't premium support users.
They could be improved with more examples of use cases, but they are fit for purpose.
I contacted customer support once or twice, and they were quick to respond.
They answer all my questions and share guidance on using DataRobot scripts if certain functionalities are not available in the UI.
Being cloud-hosted enables automatic resource scaling, which supports collaboration across teams.
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 tool could include more native connectors, such as for global ERPs, instead of requiring additional fees for these connections.
The support structure changed; initially, we received great support, however, it later became less reliable due to licensing issues and a tiered support system.
DataRobot is a UI-based tool, which means it cannot provide all the features I might manually implement through notebooks or Python.
There is a lack of transparency in the models; sometimes it feels like a black box.
Some were hesitant to pay $4000 per seat.
Alteryx is more cost-effective compared to Informatica licenses, offering savings.
It has a fair price when considering a larger-scale implementation.
The setup cost was minimal because it's cloud-hosted, eliminating the need for heavy on-premises infrastructure, allowing us to start using it immediately after purchase.
Alteryx not only represents data but also supports decision-making by suggesting the next steps.
Analysts who do not have any coding experience can still work on the transformation and preparation of data, which is quite useful.
It offered quick development, with the ability to process large datasets.
DataRobot has positively impacted our organization in many ways. First, it has improved efficiency; tasks such as model testing, feature engineering, and predictions that used to take us days or weeks can now be accomplished in hours.
By automating highly technical aspects like model comparison, DataRobot enhances productivity and reduces project timelines from three months to less than one month.
| Product | Market Share (%) |
|---|---|
| Alteryx | 12.1% |
| DataRobot | 7.7% |
| Other | 80.2% |
| Company Size | Count |
|---|---|
| Small Business | 31 |
| Midsize Enterprise | 15 |
| Large Enterprise | 51 |
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
DataRobot captures the knowledge, experience and best practices of the world’s leading data scientists, delivering unmatched levels of automation and ease-of-use for machine learning initiatives. DataRobot enables users to build and deploy highly accurate machine learning models in a fraction of the time.
We monitor all Predictive Analytics reviews to prevent fraudulent reviews and keep review quality high. We do not post reviews by company employees or direct competitors. We validate each review for authenticity via cross-reference with LinkedIn, and personal follow-up with the reviewer when necessary.
