Dataiku and Cloudera Data Science Workbench compete in the data science platform market. Dataiku has an edge in user satisfaction due to its ease of use and integration capabilities, while Cloudera Data Science Workbench is noted for its extensive functionality, although it may have a steeper learning curve.
Features: Dataiku thrives with its intuitive drag-and-drop interface, automated machine learning, and seamless integration with multiple data sources, making it suitable for both beginners and advanced users. Cloudera Data Science Workbench offers robust support for coding in R, Python, and Scala, enhanced by built-in security features designed for large enterprises, providing flexibility for data scientists who prefer programming.
Ease of Deployment and Customer Service: Dataiku's deployment process is regarded as quicker and more straightforward, attributed to a streamlined installation process and accessible customer support, beneficial for businesses seeking rapid time-to-value. Cloudera Data Science Workbench requires more technical expertise for deployment, supported by strong customer support, catering predominantly to larger organizations desiring enterprise-grade solutions.
Pricing and ROI: Dataiku often presents a more attractive setup cost, offering scalability at an affordable entry price, with users noting high ROI due to its ease of integration and fast setup. Cloudera Data Science Workbench, while potentially involving higher upfront costs, is justified by its comprehensive feature set, indicating a higher long-term ROI for enterprises in need of its advanced capabilities.
| Product | Market Share (%) |
|---|---|
| Dataiku | 8.0% |
| Cloudera Data Science Workbench | 1.6% |
| Other | 90.4% |
| Company Size | Count |
|---|---|
| Small Business | 4 |
| Midsize Enterprise | 2 |
| Large Enterprise | 11 |
Cloudera Data Science Workbench (CDSW) makes secure, collaborative data science at scale a reality for the enterprise and accelerates the delivery of new data products. With CDSW, organizations can research and experiment faster, deploy models easily and with confidence, as well as rely on the wider Cloudera platform to reduce the risks and costs of data science projects. Access any data anywhere – from cloud object storage to data warehouses, CDSW provides connectivity not only to CDH but the systems your data science teams rely on for analysis.
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.
We monitor all Data Science Platforms 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.
