

Altair RapidMiner and Dataiku compete in the data science and analytics space, focusing on predictive analytics and end-to-end analytics solutions respectively. Dataiku has the upper hand for teams seeking a robust, integrated toolset due to its comprehensive solutions.
Features: Altair RapidMiner provides capabilities in predictive modeling, machine learning workflows, and strong automation features. Dataiku excels in collaborative features, comprehensive data preparation and analysis, and deployment features tailored for complex projects.
Room for Improvement: Altair RapidMiner could enhance integration with generative AI, expand its collaboration tools, and improve dataset handling capabilities. Dataiku might focus on lowering its complexity for non-technical users, optimizing pricing flexibility, and simplifying initial deployment processes.
Ease of Deployment and Customer Service: Altair RapidMiner is recognized for easy deployment and strong customer support, facilitating quick setup. Dataiku offers robust deployment options with emphasis on team collaboration and accessible customer service for complex deployments.
Pricing and ROI: Altair RapidMiner offers competitive pricing designed for fast return on investment through its cost-effectiveness. Dataiku requires a higher upfront investment, providing extensive features that can lead to greater long-term returns for teams needing comprehensive project management.
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.
The market is competitive, and Dataiku must adopt a consumption-based model instead of the current monthly model.
I consider the return on investment with Dataiku valuable because for us, it is one single platform where all our data scientists come together and work on any model building, so it is collaboration, plus having everything in one place, organized, having proper project management, and then built-in capabilities which help to facilitate model building.
It is a good return on investment since it helps save a lot of time, and it's easy for my teammates to work cross-functionally on the same project.
I have not encountered any problems with Altair RapidMiner technical support.
the technical documentation is thorough
Dataiku partners with local industry experts who understand the business better and provide support.
The support team does not provide adequate assistance.
They should not take the complaints so lightly.
Dataiku is quite scalable, as long as I can pay for more licenses, there is no technical limitation.
Dataiku's scalability is pretty good; I can scale the projects very easily, and clear guidance is given as well.
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.
It would help if there was a backup proposition in place to avoid hampering our work due to updates.
For around ten percent of the day, it is usually down, and we are unable to do work on it.
In terms of stabilization, if my data has no outlier creation in the raw data, then it is quite stable.
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.
Someone who needs to do coding can do it, and someone who does not know coding can also build solutions.
The license is very expensive.
I would love for Dataiku to allow more flexibility with code-based components and provide the possibility to extend it by developing and integrating custom components easily with existing ones.
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.
There are no extra expenses beyond the existing licensing cost.
I find the pricing of Dataiku quite affordable for our customers, as they are usually large companies.
The pricing for Dataiku is very high, which is its biggest downside.
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.
This feature is useful because it simplifies tasks and eliminates the need for a data scientist.
Dataiku primarily enhances the speed at which our customers can develop or train their machine learning models because it is a drag-and-drop platform.
It offers most of the capabilities required for data science, MLOps, and LLMOps.
| Product | Mindshare (%) |
|---|---|
| Dataiku | 5.2% |
| Altair RapidMiner | 3.4% |
| Other | 91.4% |
| Company Size | Count |
|---|---|
| Small Business | 12 |
| Midsize Enterprise | 5 |
| Large Enterprise | 10 |
| Company Size | Count |
|---|---|
| Small Business | 6 |
| Midsize Enterprise | 2 |
| Large Enterprise | 13 |
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.
Dataiku Data Science Studio is acclaimed for its versatile capabilities in advanced analytics, data preparation, machine learning, and visualization. It streamlines complex data tasks with an intuitive visual interface, supports multiple languages like Python, R, SQL, and scales efficiently for large dataset handling, boosting organizational efficiency and collaboration.
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