Developed by Databricks Inc (Est. 2005)
Open-source and managed platform for end-to-end machine learning lifecycle management.
Simplifies transition of machine learning code from local laptops to production servers.
Custom deployment scripts and undocumented model artifact versions.
MLflow manages experiment tracking, model packaging, and production registry deployments across clouds and on-premise environments.
Verified ratings & customer feedback for Databricks MLflow MLOps
Based on 10 verified customer reviews
10 on Google Places • 0 on AppStore
Verified Customer • Google Places Review
“A spacious and functional office equipped with everything needed for work. There is a separate room for bicycle storage. Meals can be selected individually and ordered via an app, and snacks are available. There are also relaxation areas.”
Verified Customer • Google Places Review
“I wonder if Databricks intentionally picked a building with bricks 🧱 in S.F to match their business name. If that is true; then I’m impressed”
Verified Customer • Google Places Review
“The water bottles they gave out for their 10 year anniversary in 2023 are absolute garbage.”
Verified Customer • Google Places Review
“Salesman won't stop contacting me even after I clicked unsubscribe on the emails. He left me a message on my personal phone today. I'm not even sure where he got my number.”
Verified Customer • Google Places Review
“Great company”
Verified Customer • Google Places Review
“Positive feedback received via Google Places.”
Contact Databricks MLflow MLOps's verified sales team directly for quotes and pilot deployments.
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