Loved by Data Science, Data Engineering & DevOps Teams

1200px-NetApp_logo 1
1200px-Payoneer_logo 1
Logo-Samsung 1
1024px-Microsoft_logo_(2012) 1
1200px-Amazon_Web_Services_Logo 1
1280px-Nvidia_logo 1
Ecolab green circle-01

"Prior to implementing this solution, model deployment times exceeded 12 months. Thanks to Iguazio and Microsoft Azure, by 2020, these had been reduced to between 30 and 90 days."

Greg Hayes, Data Science Director, Ecolab

Develop Once,
Deploy Anywhere

Accelerate and simplify development, deployment and management of AI in production with full MLOps automation:
  • Accelerate: Deploy AI 12x faster
  • Automate: Automate your ML lifecycle end-to-end
  • Optimize: Save costs by more efficiently sharing resources such as GPUs and optimizing data storage
  • Unify Data: Ingest and unify data from any source and type, including unstructured, structured, streaming data etc.
  • Integrate with your Stack: Easily integrate with your existing AI infrastructure and software, including popular open source tools and frameworks
  • Deploy Anywhere:
1200px-Amazon_Web_Services_Logo 1 AWS
Group 45 Azure
google-cloud-logo-ADE788217F-seeklogo 1 GCP
onprem 1 On-Premesis
edge 1 Edge/Hybrid

What Customers Have to Say about Iguazio

HubSpot Video


Sheba (1)

“Using Iguazio, we are revolutionizing the way we use data, by unifying real-time and historic data from different sources and rapidly deploying and monitoring complex AI models to improve patient outcomes and the City of Health’s efficiency.”

Nathalie Bloch, MD, Head of Big Data & AI, Sheba Medical Center’s ARC Innovation Complex

gartner-logo-300x300 1 (1)
Iguazio Mentioned in 8 Gartner Hype Cycles for 2022
Comments from Gartner Peer Insights
“From notebook to cluster in 4 seconds”
“Reducing time from data science POC to data product”
“Multi-model database, data science tools, and production ready MLOps in under a week”
“Agile data science platform”