Constellation's MLOps ShortList
Constellation Research released an MLOps ShortList that evaluates enterprise platforms like Databricks, DataRobot and Weights & Biases for large‑scale ML workflows. The ShortList gives teams a comparative view of vendor strengths when selecting orchestration, monitoring, and experiment tracking tools. (x.com)
Constellation’s MLOps ShortList published in the Q1 2026 update names a slate of vendors that includes Amazon SageMaker, Anaconda, ClearML, Databricks, Dataiku, DataRobot, Domino Data Lab, Fiddler AI, Google Vertex AI, IBM, QuantumBlack/Iguazio, Microsoft Azure, SAS and Weights & Biases as part of a set of “short‑listed” solutions. (constellationr.com) The ShortList page states Constellation evaluated “more than 20” solutions for the MLOps category and explicitly flags the listed vendors as those to be included in a forthcoming, deeper market overview report. (constellationr.com) Constellation describes its ShortList methodology as being driven by client inquiries, partner conversations, customer references, vendor selection projects, market share and internal research, rather than a single quantitative score. (constellationr.com) The MLOps inclusion comes as part of Constellation’s broader Q1 2026 ShortList wave, which the firm said refreshed dozens of categories across AI, security, cloud and automation during its Q1 updates. (constellationr.com) Constellation’s ShortList framework is promoted as an initial vendor‑narrowing step for enterprise buyers and is updated at least annually, which frames this MLOps list as a near‑term vendor signal rather than a static market ranking. (constellationr.com) Vendors named on the page have already been using inclusion as a commercial credential—Domino and others highlighted ShortList recognition in company messaging about multi‑cloud support and Kubernetes deployment capabilities. (domino.ai)
