There's currently 40841658 ways of doing ML

Machine Learning Lifecycle

	0. Resource Management, DL Enablement0.	1. Data Gathering, Transformation1.	2. Experimenting, Training, Tuning, Testing2.	3. Monitoring, Auditing, Management, Retraining3.	4. Productionization, Deployment, Inference4.
Acceldata				⬤
Airbytes		⬤
Airflow	⬤	⬤	⬤
Algorithmia				⬤	⬤
Argo	⬤	⬤	⬤
Arize AI		⬤		⬤
Arthur				⬤	⬤
AtScale AI-Link				⬤	⬤
Auger.AI			⬤	⬤
Azkaban	⬤		⬤
Bodywork	⬤				⬤
ClearML	⬤	⬤	⬤		⬤
cnvrg.io	⬤		⬤
Coiled	⬤		⬤
Comet			⬤	⬤	⬤
DAGsHub			⬤
Dagster		⬤	⬤
data.ai		⬤
Delta Lake		⬤
Determined AI	⬤	⬤	⬤	⬤	⬤
DoltHub		⬤
Dud		⬤
Fiddler			⬤	⬤	⬤
Flyte		⬤	⬤
Git LFS		⬤
Gretel.ai		⬤
Hopsworks	⬤	⬤		⬤	⬤
Iguazio		⬤		⬤	⬤
Inferrd				⬤	⬤
Iterative				⬤	⬤
ixpantia		⬤
Kedro		⬤	⬤
Keepsake		⬤	⬤
Kubeflow	⬤	⬤	⬤		⬤
lakeFS		⬤
LatticeFlow			⬤	⬤	⬤
Luigi		⬤	⬤
Maiot		⬤	⬤		⬤
Marquez		⬤	⬤
Metaflow		⬤	⬤
MindsDB		⬤	⬤
MLFlow	⬤		⬤	⬤	⬤
ModelOp				⬤	⬤
Molecula			⬤		⬤
Neptune	⬤			⬤	⬤
Neu.ro Inc.		⬤	⬤	⬤	⬤
New Relic				⬤
NimbleBox.ai	⬤	⬤	⬤	⬤	⬤
OctoML				⬤	⬤
Orchest	⬤		⬤
Pachyderm		⬤	⬤		⬤
Picsellia		⬤	⬤		⬤
Pipeline.ai	⬤	⬤	⬤
Prefect		⬤	⬤
Prevision.io	⬤	⬤	⬤	⬤	⬤
PrimeHub	⬤		⬤	⬤	⬤
Qlik		⬤		⬤	⬤
Quilt		⬤
Sama		⬤
Seldon				⬤	⬤
Sisense		⬤		⬤	⬤
Snitch AI				⬤
Spell	⬤		⬤		⬤
Superb AI		⬤
Superwise.ai				⬤	⬤
Tecton			⬤	⬤	⬤
Tekton			⬤		⬤
Terminus DB		⬤	⬤	⬤	⬤
TIBCO		⬤	⬤		⬤
Toloka		⬤
TruEra				⬤	⬤
UbiOps				⬤	⬤
Valohai			⬤		⬤
Weights & Biases		⬤	⬤
WhyLabs				⬤
YData		⬤	⬤		⬤

How a Dominant New Software Stack Will Unlock the Next Generation of Cutting Edge AI Apps

How do the two big clouds compare today for ML platform tooling? What are the features that matter?