IBM SPSS Statistics vs Teradata Aster Analytics

IBM SPSS Statistics is ranked 7th in Data Science Platforms with 4 reviews vs Teradata Aster Analytics which is ranked 14th in Data Science Platforms with 1 review. The top reviewer of IBM SPSS Statistics writes "Provides a good number of modelling techniques although data visualization is not easy to do". The top reviewer of Teradata Aster Analytics writes "Streamlines formulating solutions based on SQL-like queries". IBM SPSS Statistics is most compared with IBM SPSS Modeler, SAS Enterprise Miner and KNIME. Teradata Aster Analytics is most compared with SAS Enterprise Miner, IBM Data Science Experience and KNIME.
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Most Helpful Review
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Quotes From Members Comparing IBM SPSS Statistics vs Teradata Aster Analytics

We asked business professionals to review the solutions they use. Here are some excerpts of what they said:
Pros
It has helped our analyst unit deliver work with more transparency and confidence, given that we can always view the dataset in totality, after each step of data transformation.The learning curve to using this product is not steep. The program is appropriate for those who do not have a lot of background in programming, yet have to perform basic statistical analysis.

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Provides ease of formulating a solution based on SQL-like queries.

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Cons
Needs more statistical modelling functions.

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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.

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Pricing and Cost Advice
Our licence is on a yearly renewal basis. While pricing is not the primary concern in our evaluation, as products are assessed by whether they can meet our user needs and expertise, the cost can be a limiting factor in the number of licences we procure.

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Information Not Available
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Find out what your peers are saying about IBM, SAS, Alteryx and others in Data Science Platforms.
269,608 professionals have used our research since 2012.
Ranking
RANKING
Views
4,617
Comparisons
3,780
Reviews
4
Followers
378
Avg. Rating
6.8
Views
272
Comparisons
206
Reviews
1
Followers
40
Avg. Rating
8.0
Top Comparisons
Top Comparisons
Uimhresp 400x400
Compared 5% of the time.
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Uimhresp 400x400
Compared 8% of the time.
See more Teradata Aster Analytics competitors »
Also Known As
Also Known AsSPSS StatisticsAster Analytics
Website/Video
Website/VideoIBM
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Teradata
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OverviewQuestionmark icon
OverviewYour organization has more data than ever, but spreadsheets and basic statistical analysis tools limit its usefulness. IBM SPSS Statistics software can help you find new relationships in the data and predict what will likely happen next. Virtually eliminate time-consuming data prep; and quickly create, manipulate and distribute insights for decision making.

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.

OFFER
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Sample Customers
Sample CustomersLDB Group, RightShip, Tennessee Highway Patrol, Capgemini Consulting, TEAC Corporation, Ironside, nViso SA, Razorsight, Si.mobil, University Hospitals of Leicester, CROOZ Inc., GFS Fundraising Solutions, Nedbank Ltd., IDS-TILDA
Information Not Available
Top IndustriesQuestionmark icon
Top Industries
VISITORS READING REVIEWS
Financial Services Firm
18%
University
13%
Pharma/Biotech Company
11%
Retailer
11%
No Data Available
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Find out what your peers are saying about IBM, SAS, Alteryx and others in Data Science Platforms.
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269,608 professionals have used our research since 2012.
We monitor all Data Science Platforms 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.

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