Future of SoftwareStart Survey
Enterprise AI platform for model development and deployment
MLOps Platforms
C3.ai and ClearML both serve enterprise AI development but with different focuses. C3.ai emphasizes domain-specific applications and agentic AI, while ClearML focuses on infrastructure orchestration and MLOps. Organizations might choose one or the other depending on whether they need pre-built domain applications or flexible infrastructure.
Vendor sources: clear.ml [1]c3.ai [2]
MLOps Platforms
Open-source MLOps framework for creating portable and production-ready ML pipelines across infrastructure.
AI/ML Infrastructure
Open-source ML platform for deploying, serving, and scaling production models on AWS.
MLOps Platforms
Open-source MLOps tools including DVC and CML for Git-based ML experiment tracking and CI/CD.
AI/ML Infrastructure
Intelligence automation platform accelerating development and deployment of AI applications.
Kubernetes Platforms
Open-source ML toolkit for Kubernetes enabling portable and scalable ML workflows on cloud infrastructure.
AI/ML Infrastructure
Anyscale provides the managed platform for Ray, the open-source distributed computing framework, enabling teams to scale AI training and inference workloads across cloud infrastructure.
PriceUsage-based
Workflow Orchestration
Open-source workflow orchestration platform by Union.ai for building reliable and scalable ML and data pipelines.
MLOps Platforms
Enterprise MLOps platform for data science teams to build, deploy, and manage models at scale.
AI/ML Infrastructure
Human-centric ML infrastructure framework by Netflix for building and managing real-world data science projects.
Cubbie Points
