Compare SAND vs. Treasure Data

SAND is ranked 28th in Data Warehouse while Treasure Data is ranked 20th in Data Warehouse. SAND is rated 0, while Treasure Data is rated 0. On the other hand, SAND is most compared with , whereas Treasure Data is most compared with Snowflake, Teradata and Cazena.
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SAND Logo
66 views|39 comparisons
Treasure Data Logo
270 views|183 comparisons
Ranking
28th
out of 30 in Data Warehouse
Views
66
Comparisons
39
Reviews
0
Average Words per Review
0
Avg. Rating
N/A
20th
out of 30 in Data Warehouse
Views
270
Comparisons
183
Reviews
0
Average Words per Review
0
Avg. Rating
N/A
Find out what your peers are saying about Teradata, Oracle, Micro Focus and others in Data Warehouse. Updated: December 2019.
391,616 professionals have used our research since 2012.
Top Comparisons
Compared 48% of the time.
Compared 28% of the time.
Compared 25% of the time.
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SAND Technology
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Treasure Data
Overview

SAND delivers a world class performing Enterprise Analytic Database Platform. The SAND Platform is a patented columnar database management system (CDBMS), delivering optimal performance for every user. Generation based concurrency control (GBCC) technology supports thousands of concurrent users with massive and constantly growing data. SAND delivers on the promise of sharing data throughout the Enterprise, providing instant access, driving decision-making, and ensuring the best information is in the hands of the right people at the right time.

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.

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Sample Customers
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Pioneer, Dentsu, Diverse, Albert, Retty, FreakOut, Mobfox, Pebble, Livesense, GREE, Cookpad, Dashbid, Cloud9, Just Premium
Find out what your peers are saying about Teradata, Oracle, Micro Focus and others in Data Warehouse. Updated: December 2019.
391,616 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.