Microsoft Parallel Data Warehouse vs. Treasure Data

As of February 2019, Microsoft Parallel Data Warehouse is ranked 11th in Data Warehouse with 3 reviews vs Treasure Data which is ranked 20th in Data Warehouse. The top reviewer of Microsoft Parallel Data Warehouse writes "Gives us the ability to distribute large data sets across nodes". Microsoft Parallel Data Warehouse is most compared with Oracle Exadata, Teradata and Netezza. Treasure Data is most compared with Teradata and Snowflake.
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Quotes From Members

We asked business professionals to review the solutions they use. Here are some excerpts of what they said:

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316,268 professionals have used our research since 2012.
Ranking
11th
out of 29 in Data Warehouse
Views
6,048
Comparisons
2,617
Reviews
3
Followers
400
Avg. Rating
5.7
20th
out of 29 in Data Warehouse
Views
557
Comparisons
204
Reviews
0
Followers
144
Avg. Rating
N/A
Top Comparisons
Compared 52% of the time.
Compared 48% of the time.
Also Known As
Microsoft PDW, SQL Server Data Warehouse, Microsoft SQL Server Parallel Data Warehouse
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Microsoft
Treasure Data
Overview

The traditional structured relational data warehouse was never designed to handle the volume of exponential data growth, the variety of semi-structured and unstructured data types, or the velocity of real time data processing. Microsoft's SQL Server data warehouse solution integrates your traditional data warehouse with non-relational data and it can handle data of all sizes and types, with real-time 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.

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Sample Customers
Auckland Transport, Erste Bank Group, Urban Software Institute, NJVC, Sheraton Hotels and Resorts, Tata Steel EuropePioneer, 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: January 2019.
316,268 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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