What is better SAS Advanced Analytics or Anaconda Enterprise? A sensible way to find the appropriate Predictive Analysis Software product for your firm is to match the solutions against each other. Here you can compare SAS Advanced Analytics and Anaconda Enterprise and see their capabilities compared in detail to help you select which one is the more effective product.
Also, you can compare their overall ratings, such as: overall score (SAS Advanced Analytics: 9.4 vs. Anaconda Enterprise: 9.2) and user satisfaction (SAS Advanced Analytics: N/A% vs. Anaconda Enterprise: 96%). Check their distinctive features and similarities and find out which one outperforms the other. Similarly imagine what your business will be in years to come; will your business outgrow the app in the next couple of years?
We know that not all companies have enough time to examine a large number of various solutions, so we came up with a list of recommendations that you may find useful. Our top selections for the Predictive Analysis Software category are: Microsoft Azure Machine Learning Studio, Wolfram Mathematica, Sisense.
Details on SMB and enterprise pricing for SAS Advanced Analytics are not publicly available. Interested buyers may contact a sales representative to request for a customized quotation.
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.
When you compare various Predictive Analysis Software services you shouldn’t just explore their features list and available pricing plans. Pay attention to the fact that the app must be meeting your work processes and business so the more flexible their offer the better. Learn what platforms are supported by SAS Advanced Analytics and Anaconda Enterprise and ensure you will get mobile support for whatever devices you work on in your company. You should also examine which languages and countries are supported, because this may be a key element for many firms.
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