Constellation ShortList™ Cloud-Based Data Science and Machine Learning Platforms

For organizations with data science teams, these cloud options offer all the tools, notebooks, diverse data science libraries, and collaborative monitoring tools they’ll need to build, deploy, and manage custom machine learning (ML) models. What’s more, these platforms are steadily introducing no-code/low-code and automated capabilities that enable data-savvy team members to build and deploy ML models without deep data science expertise. This ShortList focuses on cloud-based machine learning platforms for building, deploying, and managing models though both traditional and automated methods.

Threshold Criteria

Constellation considers the following criteria for these solutions:

• Extensive tooling, notebooks, data science library options, and monitoring and management features geared to help data scientists build, deploy, and maintain models
• Low-code/no-code and automation options that enable data-savvy users to build models without coding or deep data science expertise
• Taps massive public cloud compute/storage/network capacity and can satisfy country-specific data-residency requirements 
• Option to support more than Data scientist personas, thereby supporting democratization of data science expertise to business users 
• Governance, risk management and security features as needed for citizen data scientists to work with ease 
• Offers functions that will help produce business value out of experimentations quickly 
• Collaboration options between business users, citizen data scientist and DS/ML experts to share, modify and deploy the models quickly 
• Data access, data wrangling capabilities to create models