SAS Visual Analytics vs Teradata Analytics [EOL] comparison

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3,032 views|2,432 comparisons
96% willing to recommend
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views| comparisons
50% willing to recommend
Comparison Buyer's Guide
Executive Summary

We performed a comparison between SAS Visual Analytics and Teradata Analytics [EOL] based on real PeerSpot user reviews.

Find out what your peers are saying about Tableau, Qlik, Splunk and others in Data Visualization.
To learn more, read our detailed Data Visualization Report (Updated: April 2024).
769,479 professionals have used our research since 2012.
Featured Review
Quotes From Members
We asked business professionals to review the solutions they use.
Here are some excerpts of what they said:
Pros
"Visual Analytics is very easy to use. I use Visual Analytics for all the typical use cases except text mining. I used it to analyze data and monitor statistics, not text mining. I also use it for data visualization as well as creating interactive dashboards and infographics.""It's relatively simple to create basic dashboards and reports.""Great for handling complex data models.""I use Visual Analytics for enterprise reporting.""It provided the capability to visualize a bunch of data in an organized way.""We've found the product to be stable and reliable.""Data handling is one of the best features of SAS Visual Analytics.""The most solution's notable aspect, in my view, is the ability to integrate various data sources and harness advanced technologies such as machine learning and artificial intelligence. This helps with quality assurance processes."

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"Provides ease of formulating a solution based on SQL-like queries.""It has been fantastic for running complete data sets (no sampling required).""nPath has made journey/path analysis much easier."

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Cons
"Better connectivity with other data origins, better visualization, and the ability to create KPIs directly would all help.""Colours used on report objects""The solution is a little weak at the front end.""It is not as mature as competitors such as Tableau and QlikView.""The charts and tables could use better sorting, primarily using other variables than the ones on the figure. If they could implement views like in the older version (previous to Viya), it would be very nice.""The visualization should be better in SAS Visual Analytics. It is easy to use but when compared to other solutions it is lacking and the support is not very good.""In Brazil, there are few documents, courses, and other resources for studying and implementing the tool.""The reason we haven't rolled it out across the board is due to the fact that the licensing is so expensive."

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"I have found some problems with the figures depicted on graphs and figures shown, like scores which could not be negative but which were depicted as such.""I would like to see more/better documentation. They also need to enhance analytic/data science algorithms.""We have struggled with uptime. Some of the features need to be updated."

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Pricing and Cost Advice
  • "Licensing is simple."
  • "$10,000 per annum for an enterprise license."
  • "The cost of the solution can be expensive. There is an additional cost for users."
  • "Visual Analytics is expensive for a small company like mine. You also need to deploy it on a server or cloud, so you pay for the license as well as the cost of the cloud or the server that you will deploy on."
  • "SAS Visual Analytics is expensive, as is the rest of the platform."
  • "It's approximately $114,000 US dollars per year."
  • "It was licensed for corporate use, and its licensing was on a yearly basis."
  • "The product is expensive."
  • More SAS Visual Analytics Pricing and Cost Advice →

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    Questions from the Community
    Top Answer:The most solution's notable aspect, in my view, is the ability to integrate various data sources and harness advanced technologies such as machine learning and artificial intelligence. This helps with… more »
    Top Answer:The product is expensive and needs the integration of more languages.
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    Ranking
    8th
    out of 71 in Data Visualization
    Views
    3,032
    Comparisons
    2,432
    Reviews
    8
    Average Words per Review
    393
    Rating
    8.5
    Unranked
    In Data Visualization
    Comparisons
    Also Known As
    SAS BI
    Teradata Aster Analytics, Aster Analytics
    Learn More
    Overview

    SAS Visual Analytics is a data visualization tool that is used for reporting, data exploration, and analytics. The solution enables users - even those without advanced analytical skills - to understand and examine patterns, trends, and relationships in data. SAS Visual Analytics makes it easy to create and share reports and dashboards that monitor business performance. By using the solution, users can handle, understand, and analyze their data in both past and present fields, as well as influence vital factors for future changes. SAS Visual Analytics is most suitable for larger companies with complex needs.

    SAS Visual Analytics Features

    SAS Visual Analytics has many valuable key features. Some of the most useful ones include:

    • Data
    • Interactive data discovery
    • Augmented analytics
    • Chat-enabled analytics
    • Sharing and collaboration
    • Visual analytics apps
    • Embedded insights
    • Location analytics
    • Security and administration
    • In-memory engine

    SAS Visual Analytics Benefits

    There are many benefits to implementing SAS Visual Analytics. Some of the biggest advantages the solution offers include:

    • Machine learning and natural language: SAS Visual Analytics uses machine learning and natural language explanations to find, visualize, and narrate stories and insights that are easy to understand and explain. This enables you to find out why something happened, examine all options, and uncover opportunities hidden deep in your data.
    • Easy and efficient reporting: With SAS Visual Analytics, you can create interactive reports and dashboards so you can quickly summarize key performance metrics and share them via the web and mobile devices.
    • Easy to use: SAS Visual Analytics was designed to be easy to use. Its easy-to-use predictive analytics enables even business analysts to assess possible outcomes, which also helps organizations make smarter, data-driven decisions.
    • Self-service data: Self-service data preparation gives users the ability to import their own data, join tables, create calculated columns, apply data quality functions, and more. In turn, the solution empowers users to access, combine, clean, and prepare their own data in an agile way, which helps facilitate faster, broader adoption of analytics for your entire organization.

    Reviews from Real Users

    Below are some reviews and helpful feedback written by PeerSpot users currently using the SAS Visual Analytics solution.

    A Senior Manager at a consultancy says, “The solution is very stable. The scalability is good. The usability is quite good. It's quite easy to learn and to progress with SAS from an end-user perspective.

    PeerSpot user Robert H., Co-owner at Hecht und Heck GmbH, comments, “What I really love about the software is that I have never struggled in implementing it for complex business requirements. It is good for highly sophisticated and specialized statistics in the areas that some people tend to call artificial intelligence. It is used for everything that involves visual presentation and analysis of highly sophisticated statistics for forecasting and other purposes.

    Andrea D., Chief Technical Officer at Value Partners, explains, “The best feature is that SAS is not a single BI tool. Rather, it is part of an ecosystem of tools, such as tools that help a user to develop artificial intelligence, algorithms, and so on. SAS is an ecosystem. It's an ecosystem of products. We've found the product to be stable and reliable. The scalability is good.”

    Teradata Aster® Analytics Portfolio provides a suite of ready-to-use, multi-genre advanced analytics functions that empowers business users to uncover and operationalize non-intuitive insights. Teradata Aster Analytics includes the Aster Database, Aster Client and the Aster Portfolio that consists of SQL, SQL-MapReduce and Graph functions for multi-genre advanced analytics. These functions provide everything from data acquisition and preparation to analytic modeling and visualization.

    Sample Customers
    Staples, Ausgrid, Scotiabank, the Australian Institute of Health and Welfare, the Blue Cross and Blue Shield of North Carolina, Oklahoma Gas & Electric, Xcel Energy, and Triad Analytics Solutions.
    Information Not Available
    Top Industries
    REVIEWERS
    Government25%
    Insurance Company15%
    Financial Services Firm15%
    Retailer5%
    VISITORS READING REVIEWS
    Financial Services Firm18%
    Government13%
    Computer Software Company12%
    University7%
    No Data Available
    Company Size
    REVIEWERS
    Small Business31%
    Midsize Enterprise19%
    Large Enterprise50%
    VISITORS READING REVIEWS
    Small Business17%
    Midsize Enterprise11%
    Large Enterprise72%
    No Data Available
    Buyer's Guide
    Data Visualization
    April 2024
    Find out what your peers are saying about Tableau, Qlik, Splunk and others in Data Visualization. Updated: April 2024.
    769,479 professionals have used our research since 2012.

    SAS Visual Analytics is ranked 8th in Data Visualization with 35 reviews while Teradata Analytics [EOL] doesn't meet the minimum requirements to be ranked in Data Visualization. SAS Visual Analytics is rated 8.0, while Teradata Analytics [EOL] is rated 7.0. The top reviewer of SAS Visual Analytics writes "Single environment for multiple phases saves us time, and has good visualizations". On the other hand, the top reviewer of Teradata Analytics [EOL] writes "Streamlines formulating solutions based on SQL-like queries". SAS Visual Analytics is most compared with Tableau, Microsoft Power BI, Databricks, Microsoft Azure Machine Learning Studio and Dataiku Data Science Studio, whereas Teradata Analytics [EOL] is most compared with .

    We monitor all Data Visualization reviews to prevent fraudulent reviews and keep review quality high. We do not post reviews by company employees or direct competitors. We validate each review for authenticity via cross-reference with LinkedIn, and personal follow-up with the reviewer when necessary.