If you're looking for a Domino Data Lab alternative, one option is DataRobot AI Platform. It unifies generative and predictive workflows so you can rapidly build and deploy AI solutions while ensuring enterprise-grade governance and monitoring. The platform is a leader in the Gartner Magic Quadrant for Data Science and Machine Learning Platforms, and customers have reported 75% faster deployment and 2.7X higher analytics productivity.
Another contender is Dataiku, which offers a full-fledged platform for data preparation, machine learning, MLOps, and collaboration. It's geared to make AI accessible for everyday use cases and supports a broad range of industries. Dataiku is a Leader in the Gartner Magic Quadrant for Data Science & ML Platforms, and its features include Generative AI application development and strong governance.
If you want a platform that's geared for ease of use and speed, UbiOps is worth a look. It lets teams run AI and machine learning workloads as secure microservices, streamlining DevOps and cloud infrastructure management. UbiOps supports hybrid and multi-cloud environments, so it's a good choice for large-scale, secure AI operations.
Last, Cloudera offers a hybrid data platform that secures data ingestion, processing and analysis across cloud and on-premise environments. It can handle real-time insights, automated data pipelines and large-scale data analytics, making it a good choice for industries like financial services and manufacturing. Cloudera's platform is built on Apache Iceberg, which ensures data reliability and flexibility.