SAS Enterprise Miner and Domino Data Science Platform compete in analytics solutions with unique data science and machine learning approaches. Domino Data Science Platform has an advantage due to its comprehensive features and collaborative environment, making it ideal for advanced data operations.
Features: SAS Enterprise Miner provides robust statistical analysis tools, automated model generation, and strong statistical capabilities. Domino Data Science Platform offers a collaborative workspace, version control, and multi-language integration, focusing on enhancing teamwork and productivity.
Ease of Deployment and Customer Service: SAS Enterprise Miner has a well-documented installation process with reliable support, ensuring easy deployment. Domino Data Science Platform supports scalable, cloud-based deployment, offering adaptability to business changes. SAS provides tailored support solutions, a noted advantage over Domino's standard customer interaction.
Pricing and ROI: SAS Enterprise Miner typically involves high initial setup costs, challenging for budget-constrained businesses. Domino Data Science Platform offers a flexible pricing model, enabling faster ROI through rapid deployment and team efficiency, making it a cost-effective choice for scalable analytics.
| Product | Market Share (%) |
|---|---|
| Domino Data Science Platform | 2.6% |
| SAS Enterprise Miner | 1.2% |
| Other | 96.2% |
| Company Size | Count |
|---|---|
| Small Business | 3 |
| Midsize Enterprise | 4 |
| Large Enterprise | 7 |
Domino provides a central system of record that keeps track of all data science activity across an organization. Domino helps data scientists seamlessly orchestrate AWS hardware and software toolkits, increase flexibility and innovation, and maintain required IT controls and standards. Organizations can automatically keep track of all data, tools, experiments, results, discussion, and models, as well as dramatically scale data science investments and impact decision-making across divisions. The platform helps organizations work faster, deploy results sooner, scale rapidly, and reduce regulatory and operational risk.
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