Leverage Various Deployment Options to Fit your IT Needs

Leverage multi-cloud deployment options that will meet your IT architecture and standards. Saagie is available on a managed cloud environment (powered by OVHcloud) and on the main public cloud providers (Azure, AWS and GCP). 

Saagie Cloud

Choose Saagie Cloud and get a fully managed offer that combines Saagie DataOps Platform and data lake capabilities to quickly get you started. Enjoy Saagie deployed on a ready-to-use and fully managed Kubernetes cluster, powered by OVHcloud. Streamline Operations and focus on your use cases, right away.

Leverage ready-to-use analytics services

Deploy quickly and show a demo to your stakeholders in less than two weeks. Leverage big data storage capabilities coupled with our DataOps Platform for data processing and Machine Learning. Address various use cases by scaling from 5 jobs to 1500 within 4 years.

Meet high security standards

All Hadoop security options are preconfigured, the infrastructure is daily tested and, as we want your data safe, Kerberos and high availability are set by default.

Keep your independence

With OVHcloud, no Patriot Act regulations. Enjoy a performance and low price based offer that you can mix with other OVH services such as databases and metrics.

Public Cloud

Combine the abstraction layer provided by Saagie DataOps Platform with the underlying processing capabilities offered by Amazon Web Services, Azure, and Google Cloud Platform managed services.

Bring the best out of both worlds

Mix and orchestrate the best of cloud-native, closed-source & open-source data processing & machine learning technologies. Invest less in DevOps and infrastructure, and more in data engineering and data science.

Provide your data team with an operational and serverless project

Choose from best-in-class data technologies and create a secured and configurable project to get started. Everything is integrated into Cloud Native monitoring and logging, and both available and traceable through Saagie APIs.

Orchestrate data technologies

Help your data team transition smoothly into the Cloud world and give them agility and flexibility. On the Ops side, choose a locking Cloud native strategy, an agnostic strategy or both, but enjoy an already fully set environment for scheduling, monitoring and logging anyway.

Boost your go-to-market while saving DevOps budgets

Dedicate more than 80% of your budget to data engineering, data science and data analysis as operations are already standardized and automated. Meet production criteria and deliver your first use cases in weeks. Scale to hundreds of data processing jobs whatever the size of your teams.