Orchestrate technologies and run pipelines

Make the most of the open-source, commercial and cloud-native worlds with smooth integration and orchestration of data technologies with the Saagie, DataOps platform powered by Kubernetes. Mix and match technologies, libraries and their versions to change and adapt your technology strategy while optimizing costs.

Choose your technology

Start now and leverage our smooth orchestration of ready-to-use frameworks from the open-source, commercial and cloud-native worlds and save yourself from months of deliberations on architecture. Our DataOps Platform offers multi-context preset technologies coupled with their libraries so you can stay agile and continuously adapt your technology strategy.

Make your jobs reproducible

With Saagie as a DevOps enabler, you don’t have to stop at proof of concept and can meet all your production criteria. Let your data teams experiment but ensure that their processing jobs work as well in production as they did in lab through our job promotion capabilities. Every job is reproducible regardless of the environment, which means you don’t have to struggle with Python environments or customize them by hand on Linux servers.

Run workflows into pipelines

After choosing your technologies and creating jobs, run them into pipelines to manage the entire data lifecycle. Mix and match frameworks so your data engineers and data scientists can collaborate on the same project. You can also monitor and iterate since every change and run instance are recorded to help you keep track of their work.

Our supported technologies

You can use our off-the-shelf frameworks to immediately start orchestrating extract, transform, load (ETL) workloads and preprocess and process technologies.