Dataiku Data Science Studio (DSS) is a platform that tries to span the needs of data scientists data engineers business analysts and AI consumers. It mainly succeeds. In accession Dataiku DSS tries to span the machine learning process from end to end i.e. from data provision through MLOps and application support. Again it mainly succeeds.
The Dataiku DSS user interface is a union of graphical elements notebooks and code as well see later on in the review. As a user you frequently have a choice of how youd like to move and youre usually not locked into your initial choice given that graphical choices can engender editable notebooks and scripts.
During my initial discussion with Dataiku their senior fruit marketing director asked me point bleak whether I preferred a GUI or writing code for data science. I said ’I usually wind up writing code but Ill use a GUI whenever its faster and easier.’ This met with approval: Many of their customers have the same pragmatic posture.
Dataiku competes with pretty much see data science and machine learning platform but also partners with separate of them including Microsoft Azure Databricks AWS and Google Cloud. I attend KNIME correspondent to DSS in its use of flow diagrams and at smallest half a dozen platforms correspondent to DSS in their use of Jupyter notebooks including the four partners I mentioned. DSS is correspondent to DataRobot H2O.ai and others in its implementation of AutoML.