
Qwak
MLOps Platforms
ML engineering platform for building, training, and deploying models with integrated feature store and serving.
Future of SoftwareStart Survey

MLOps Platforms
ML engineering platform for building, training, and deploying models with integrated feature store and serving.

Feature Stores
Enterprise feature platform for managing and serving ML features in production with real-time data pipelines.
PriceUsage-based
Feature Stores
Open-source feature store for ML serving production features to models with offline and online storage.
MLOps Platforms
ML deployment platform letting data scientists deploy models to production REST APIs directly from Jupyter notebooks.

Feature Stores
Virtual feature store layering on top of existing infrastructure for managing ML features without migration.
AI Observability
ML observability platform providing real-time monitoring, alerting, and investigation for production models.

MLOps Platforms
MLOps platform for building and deploying embedded machine learning models including computer vision on edge devices.

MLOps Platforms
MLOps platform for managing ML infrastructure and running experiments on GPU clusters.
PriceUsage-based

MLOps Platforms
Enterprise MLOps platform for data science teams to build, deploy, and manage models at scale.
MLOps Platforms
AI governance and observability platform for monitoring production generative AI.