What is better Microsoft R Open or Anaconda Enterprise? When looking for the appropriate Predictive Analysis Software for your company our recommendation is that you compare the characteristics, prices, and other essential information about the product and vendor. Here, you are able to see the parallels and differences between Microsoft R Open (overall score at 9.5 and user satisfaction at 80%) and Anaconda Enterprise (overall score at 9.2 and user satisfaction at 96%).
You can also check their specific modules, for example features, plans, costs, conditions, etc. Moreover, read the terms closely for information on extra charges, such as, setup cost, separate helpdesk support, upgrade fees, cloud storage fees, and other similar charges.
In case you you would like to quickly decide on the optimal Predictive Analysis Software according to our experts we advise you examine one of these products: Sisense, Microsoft Azure Machine Learning Studio, Wolfram Mathematica.
Anaconda Enterprise supports integration with the following big data frameworks, data management solutions, identity providers, and cloud services:
Jupyter Notebooks
JupyterLab
Cloudera
Hortonworks
LDAP
Active Directory
SAML
Kerberos
Amazon Web Services (AWS)
Microsoft Azure
Google Cloud
Languages Supported
English
Chinese
German
Hindi
Japanese
Spanish
French
Russian
Italian
Dutch
Portugese
Polish
Turkish
Swedish
Arabic
Prominent Clients
General Electric
Available Devices
Windows
Linux
Android
iPhone/iPad
Mac
Web-based
Windows Mobile
Company Size
Small Business
Large Enterprises
Medium Business
Freelancers
Available Support
email
phone
live support
training
tickets
General Info
A modern, dynamic, and industry-leading data science solution that helps data scientists, data analysts, and teams build, govern, and automate machine-learning data science models and pipelines across compute and server clusters; providing them with the ability to share models, resources, browser-based notebooks, and dashboards though integrated data science environments, collaborate on their projects in real time, and facilitate deployments.
If you compare different Predictive Analysis Software solutions you shouldn’t just explore their features list and available pricing plans. Consider that the solution should be matching your standards and company so the more flexible their offer the better. Learn what systems are supported by Microsoft R Open and Anaconda Enterprise and be certain you will get mobile support for whichever devices you use in your company. You should also find out which languages and countries are supported, as this might be a key element for many businesses.
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