What is better SAS Advanced Analytics or Anaconda Enterprise? To make sure you find the most efficient and productive Predictive Analysis Software for your business, you need to compare products available on the market. For instance, here you can match SAS Advanced Analytics’s overall score of 9.4 against Anaconda Enterprise’s score of 9.2. You can even examine their general user satisfaction: SAS Advanced Analytics (N/A%) vs. Anaconda Enterprise (96%).
Furthermore, you can compare their strengths and weaknesses feature by feature, including their offered terms and prices. By comparing products you are improving your chances to pick the right software for your situation. It’s clear you have to know your specific needs to realize which service meets those needs.
At this time, the best services in our 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.
All the data, facts and statistics that we shared in this comparison were collected from official company websites, advertising materials available online, real-life experience from real clients as well as our individual everyday use of every software by an expert. We do our best to thoroughly test every service, therefore we not only study it on our own, but we also correlate our observations with experiences of other members from the SaaS community.
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