Data analytics technology in Azure

 

Capability	Power BI	Jupyter Notebooks	Zeppelin Notebooks	Microsoft Azure Notebooks
Connect to big data cluster for advanced processing	Yes	Yes	Yes	No
Managed service	Yes	Yes 1	Yes 1	Yes
Connect to 100s of data sources	Yes	No	No	No
Offline capabilities	Yes 2	No	No	No
Embedding capabilities	Yes	No	No	No
Automatic data refresh	Yes	No	No	No
Access to numerous open source packages	No	Yes 3	Yes 3	Yes 4
Data transformation/cleansing options	Power Query, R	40 languages, including Python, R, Julia, and Scala	20+ interpreters, including Python, JDBC, and R	Python, F#, R
Pricing	Free for Power BI Desktop (authoring), see pricing for hosting options	Free	Free	Free
Multiuser collaboration	Yes	Yes (through sharing or with a multiuser server like JupyterHub)	Yes	Yes (through sharing)

[1] When used as part of a managed HDInsight cluster.

[2] With the use of Power BI Desktop.

[2] You can search the Maven repository for community-contributed packages.

[3] Python packages can be installed using either pip or conda. R packages can be installed from CRAN or GitHub. Packages in F# can be installed via nuget.org using the Paket dependency manager.