Compare IBM Smart Analytics System vs. Treasure Data

IBM Smart Analytics System is ranked 15th in Data Warehouse while Treasure Data which is ranked 20th in Data Warehouse. IBM Smart Analytics System is rated 0, while Treasure Data is rated 0. On the other hand, IBM Smart Analytics System is most compared with Oracle Big Data Appliance, Oracle Database Appliance and Vertica, whereas Treasure Data is most compared with Snowflake, Teradata and Cazena.
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IBM Smart Analytics System Logo
1,431 views|480 comparisons
Treasure Data Logo
633 views|212 comparisons
Ranking
15th
out of 30 in Data Warehouse
Views
1,431
Comparisons
480
Reviews
0
Average Words per Review
0
Avg. Rating
N/A
20th
out of 30 in Data Warehouse
Views
633
Comparisons
212
Reviews
0
Average Words per Review
0
Avg. Rating
N/A
Find out what your peers are saying about Oracle, Teradata, Micro Focus and others in Data Warehouse. Updated: August 2019.
359,759 professionals have used our research since 2012.
Top Comparisons
Compared 41% of the time.
Compared 40% of the time.
Compared 19% of the time.
Also Known As
Smart Analytics System
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IBM
Treasure Data
Overview
The IBM Smart Analytics System provides analytics capabilities on a data warehouse foundation. This integrated and optimized system combines advanced software with IBM server and storage hardware to address a range of analytics workloads and accelerate deployment to help achieve greater efficiency, lower cost and higher performance.

Treasure Data is a cloud service for the entire data pipeline, including acquisition, storage, and analysis. We manage and support the entire infrastructure so you can focus on what you do best, analyzing data, rather than managing it.

Offer
Learn more about IBM Smart Analytics System
Learn more about Treasure Data
Sample Customers
WIdO AOK, EEKA Fashion, SSGC, GS RetailPioneer, Dentsu, Diverse, Albert, Retty, FreakOut, Mobfox, Pebble, Livesense, GREE, Cookpad, Dashbid, Cloud9, Just Premium
Find out what your peers are saying about Oracle, Teradata, Micro Focus and others in Data Warehouse. Updated: August 2019.
359,759 professionals have used our research since 2012.
We monitor all Data Warehouse 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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