Compare IBM Smart Analytics vs. OpenText Magellan Text Mining

IBM Smart Analytics is ranked 12th in Data Mining while OpenText Magellan Text Mining is ranked 15th in Data Mining. IBM Smart Analytics is rated 0, while OpenText Magellan Text Mining is rated 0. On the other hand, IBM Smart Analytics is most compared with , whereas OpenText Magellan Text Mining is most compared with Oracle Advanced Analytics.
Cancel
You must select at least 2 products to compare!
Ranking
12th
out of 16 in Data Mining
Views
106
Comparisons
41
Reviews
0
Average Words per Review
0
Avg. Rating
N/A
15th
out of 16 in Data Mining
Views
25
Comparisons
21
Reviews
0
Average Words per Review
0
Avg. Rating
N/A
Find out what your peers are saying about Knime, IBM, SAS and others in Data Mining. Updated: May 2020.
419,794 professionals have used our research since 2012.
Top Comparisons
Also Known As
Smart Analytics
Learn
IBM
OpenText
Overview
The IBM Smart Analytics System offers a wide range of analytics capabilities, enabling you to consume information in the most digestible format, gain insight, and make smarter decisions today and into the future.

OpenText Magellan Text Mining transforms data into insights for better decision-making and information management while freeing up resources and time. By some estimates, as much as 71% of enterprises are struggling with how to manage and protect unstructured data.1 Magellan Text Mining enables enterprises to understand the context and information locked in high volumes of content at scale.

With Magellan Text Mining, information governance is more accurate and efficient, cutting down on redundant, obsolete or trivial information and extending the lifespan of useful data.

Offer
Learn more about IBM Smart Analytics
Learn more about OpenText Magellan Text Mining
Sample Customers
WIdO AOK, EEKA Fashion, SSGC, GS RetailTORA Trading Services, North Star BlueScope Steel, Eldorado Computing, Linkaform, MOBIS Parts Australia, Storengy Engie, Delta RM, Knorr-Bremse Group, KMD, APP Corporation, Westpac Banking Corporation
Find out what your peers are saying about Knime, IBM, SAS and others in Data Mining. Updated: May 2020.
419,794 professionals have used our research since 2012.
We monitor all Data Mining 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.