Data science won't stay at the door of the production anymore.
Saagie Manager is providing cloud capabilities over big data to your company.
Handle multiple technology can be a pain, that's why we provide a data pipeline to build your own workflows of jobs mixing Sqoop, Talend, Spark, R, Python and so on...
Each pipeline can be scheduled and allow a very sharp monitoring.
Saagie manage many kinds of technologies for your data processing. You can use Java, Spark, talend, Python or R, you monitor it the same way without any technical effort.
Saagie Manager also take care of your streaming processing and dataviz app, if they fall down Saagie will make them up and work within seconds.
Standard release process
Because we don't want the data scientist work to never reach production, we have standardize the release processing through environment from classical Java & Talend technologies to the last version of R, Spark or Python.
Saagie Manager includes an internal scheduler but also a data pipeline builder where you can mix any technologies supported by Saagie.
With the data pipeline builder, you can now build a processing workflow at the business level and focus on it without spending weeks on the integration of a big data framework.
Version & rollback easily
As the best Platform as a Service for hosting applications, we version every kind of jobs you push into Saagie Manager. We then keep the settings and the package so you can rollback on a click or an API call.
You are now in control of big data production.
For any kind of jobs, logs are available within the user interface and in real time. The whole history of jobs is available (status, meta data and logs).
The last 200 lines are available by a click. You can also download the full logs.
Saagie Manager API
Everything you do within Saagie Manager is available through an API. You can gather status and schedule jobs with your own monitoring tools.
You can even do continuous deployment connecting your favorite CI tool like Jenkins, Travis or Teamcity.