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 Altair RapidMiner both compete in the data analytics platforms category. Alteryx seems to have an upper hand due to its user-friendliness and ease of task automation.
Features: Alteryx offers user-friendly drag-and-drop functionality, data blending, and machine learning capabilities that enhance productivity and require no coding. Altair RapidMiner's key features include a variety of machine learning algorithms, Auto ML for non-coders, and compatibility with Python and R.
Room for Improvement: Alteryx could improve its predictive analytics and cloud integration, and include more in-built visualization options. RapidMiner would benefit from enhanced automation and documentation, as well as more native connectors and deep learning capabilities.
Ease of Deployment and Customer Service: Alteryx offers on-premises and cloud deployment options, with ease of transitioning cited as a benefit, although cloud integration can be challenging. The community support is strong, but direct customer support receives mixed reviews. RapidMiner allows for on-premises and cloud deployments, with a more favorable pricing model for initial exploration.
Pricing and ROI: Alteryx is perceived as expensive, potentially deterring smaller companies despite offering significant ROI through automation and time savings. RapidMiner, with its freemium model, presents an affordable option for educational purposes and remains cost-effective compared to competitors like SAS and SPSS, also delivering good ROI mainly through operational efficiencies.
The utilities predictive maintenance return on investment I mentioned, with a twenty percent reduction in unplanned downtime, is the clearest example.
I have seen a return on investment, as the defect reduction and forecast accuracy improvements have tangible financial value, with the scrap reduction alone recovering a significant portion of the platform cost in the first year.
Tasks that earlier took hours in Excel or SQL are now completed in minutes.
From a time-saving perspective, we saved 60 to 75 percent of the human workforce needed and eliminated other disparate ETL tools, ultimately saving us over 600,000 dollars.
Alteryx helps familiarize managers with artificial intelligence-driven possibilities.
I have not encountered any problems with Altair RapidMiner technical support.
the technical documentation is thorough
Customer support from Alteryx has been amazing.
they do have a website for resolving doubts and accessing helpful resources, including various tools and filters.
I contacted customer support once or twice, and they were quick to respond.
Alteryx is scalable for most enterprise analytics and data preparation workloads.
Suggestions for improvements in Alteryx include areas for increasing efficiency, particularly in processing telemetry data, which involves dealing with large volumes of unstructured data.
Alteryx is scalable, and I would give it eight out of ten.
Altair RapidMiner is stable with no issues of downtime or crashes.
Altair RapidMiner is a stable product, and it has been smooth to use without any bugs or issues.
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.
Alteryx is a reliable tool, but it is also very heavy, requiring good laptop configurations, a minimum of 8GB RAM, and a recent processor such as i10.
Incorporating generative AI as an AI assistant would be beneficial.
It would be beneficial if the platform could suggest suitable AI models and provide more advanced AI features.
Graph Studio and knowledge graph capabilities are powerful in theory, but the learning curve is steep.
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.
The additional features that Alteryx needs to work on to make it more competitive include better collaboration and easier integration through API.
The licensing model is flexible in the sense that you can apply units across different products.
We are likely to purchase a license, which may offer additional features.
The price is very high, with licensing typically starting around five thousand dollars plus user per year.
We found excellent use cases for automation through Alteryx, which provided the means to reduce operational costs and streamline the build of ETL pipelines without extensive coding.
Alteryx is more cost-effective compared to Informatica licenses, offering savings.
Building complete machine learning pipelines, data ingestion, transformation, feature engineering, model training, validation, and deployment in a drag-and-drop visual environment without extensive coding is what makes this accessible to organizations that cannot staff a team of Python developers for every analytics project.
Altair RapidMiner is appreciated for its ease of use and the CRISP data mining model it supports, covering steps like data preparation, data understanding, and business understanding.
Altair RapidMiner is easy to use and intuitive with no coding required, making it a low code tool.
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.
Alteryx includes built-in tools such as drive time analysis and linear regression, which are much harder to achieve in standard BI tools such as Power BI or Tableau.
| Product | Mindshare (%) |
|---|---|
| Alteryx | 7.6% |
| Altair RapidMiner | 5.7% |
| Other | 86.7% |
| Company Size | Count |
|---|---|
| Small Business | 12 |
| Midsize Enterprise | 5 |
| Large Enterprise | 10 |
| Company Size | Count |
|---|---|
| Small Business | 33 |
| Midsize Enterprise | 16 |
| Large Enterprise | 56 |
Altair RapidMiner is a GUI-driven, code-free data science tool ideal for users seeking efficiency and user-friendliness, featuring automated data cleaning and versatile model support for diverse tasks.
Altair RapidMiner offers an accessible platform with drag-and-drop functionality, supporting multiple file formats to streamline data science workflows. It enables quick prototyping and integrates with APIs, Python, and R, enhancing user flexibility. Comprehensive documentation and tutorials support learning, while features like model fine-tuning and predictive analytics cater to advanced analysis. Enhancements in automation and deep learning, alongside improvements in data service integration and metadata handling, remain a focus for development.
What are the key features of Altair RapidMiner?Industries such as telecom and finance utilize Altair RapidMiner for tasks like data preparation and forecasting. Universities employ it for education and research projects, while businesses apply it to areas such as financial crime management and market analysis. It assists companies in predicting customer behavior and analyzing pharmaceutical data, allowing seamless integration with other systems.
Alteryx provides user-friendly, no-code tools for data blending, preparation, and analysis. Its drag-and-drop interface and in-database capabilities simplify integration with data sources while maintaining data integrity.
Alteryx offers a comprehensive suite for automation of data workflows, reducing manual tasks and enhancing processing efficiency. Known for robust predictive and spatial analytics, it effectively handles large datasets. The platform's flexibility allows for custom script deployments, supported by a strong community. However, Alteryx faces challenges with high pricing, lack of cloud support, and limited data visualization tools. Users express a need for more in-built data science functionalities, improved API integration, and a smoother learning curve. Connectivity and documentation gaps, along with complex workflows, are noted concerns, suggesting areas for enhancement. Alteryx is widely used for tasks like ETL processes, data preparation, predictive modeling, and report generation, supporting functions like financial projections and spatial analysis.
What features define Alteryx?Alteryx is implemented across industries for diverse needs such as anomaly detection in finance, customer segmentation in marketing, and tax automation in auditing. Teams leverage its capabilities for data blending and predictive modeling to enhance operational efficiency and address specific business needs effectively.
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