SAS Viya Alternatives

If you're looking for a SAS Viya alternative, Dataloop is worth a look. Dataloop is an AI development platform that handles data curation, model management, pipeline orchestration and human feedback to speed up AI application development. It works with several types of unstructured data, including images, videos and text, and has security controls that meet GDPR, ISO 27001 and SOC 2 Type II requirements. With automated preprocessing, model management and a marketplace for pretraining models, Dataloop can help teams collaborate and get to results faster.

Another option is DataRobot AI Platform, which marries generative and predictive work to let people quickly create and deploy AI models. DataRobot has enterprise features for monitoring and control, visibility and rapid innovation, and it's the top-ranked company in the 2024 Gartner Magic Quadrant for Data Science and Machine Learning Platforms. It offers flexible deployment options and high analytics productivity, so it's good for teams that want to accelerate their AI work.

If you're looking for something more flexible and scalable, Teradata is an option. The Teradata VantageCloud platform integrates and harmonizes data across an organization, giving you a single view of your data and faster answers through its flagship feature, ClearScape Analytics. It can handle multiple workloads, including AI/ML, lakehouses, data lakes and data warehouses, and can be deployed in public cloud, hybrid cloud or on-premises environments. The platform is designed to accelerate innovation and help organizations make data-driven decisions.

Clearly AI is another alternative that automates data science workflows so you can build and deploy machine learning models with a lot less coding. It can handle a range of use cases, including classification, regression and time series forecasting, and has features like one-click model deployment, automated monitoring and real-time APIs. With integrations with tools like Zapier, Airtable and Salesforce, it's designed to make AI accessible to business analysts and other non-technical people.