Infobright vs. Microsoft Parallel Data Warehouse

As of June 2019, Infobright is ranked 10th in Data Warehouse with 7 reviews vs Microsoft Parallel Data Warehouse which is ranked 14th in Data Warehouse with 3 reviews. The top reviewer of Infobright writes "If you need a real big data solution, look for a distributed solution that actually has a proven track record". The top reviewer of Microsoft Parallel Data Warehouse writes "Gives us the ability to distribute large data sets across nodes". Infobright is most compared with Pivotal Greenplum, Vertica and Citus Data. Microsoft Parallel Data Warehouse is most compared with Oracle Exadata, Teradata and Snowflake. See our Infobright vs. Microsoft Parallel Data Warehouse report.
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Most Helpful Review
Find out what your peers are saying about Infobright vs. Microsoft Parallel Data Warehouse and other solutions. Updated: May 2019.
346,318 professionals have used our research since 2012.
Quotes From Members

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

Pros
It has very amazing smart grid query feature for very fast aggregate queries across millions of rows

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It handles high volumes of data very well.​It has allowed fast daily loads and analysis of millions of rows of data, which eventually moved to near real-time.​

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Cons
Only the data from the columns that reached 2GB will actually decrease. Other columns below 2GB in size do not leave the disk.

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It needs more compatibility with common BI tools.​Concurrent queries are limited to 32, making it more of a data storage mechanism instead of an active DWH solution.

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Pricing and Cost Advice
Our pricing was based on server instances and it was actually very cheap compared to Oracle. I guess you get what you pay for.

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Ranking
10th
out of 30 in Data Warehouse
Views
3,519
Comparisons
543
Reviews
7
Average Words per Review
426
Avg. Rating
7.1
14th
out of 30 in Data Warehouse
Views
6,573
Comparisons
2,434
Reviews
3
Average Words per Review
140
Avg. Rating
5.7
Top Comparisons
Compared 32% of the time.
Compared 20% of the time.
Compared 14% of the time.
Also Known As
Microsoft PDW, SQL Server Data Warehouse, Microsoft SQL Server Parallel Data Warehouse
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Ignite Technologies
Microsoft
Overview

Infobright's high performance analytic database is designed for analyzing large volumes of machine-generated data

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.

Offer
Learn more about Infobright
Learn more about Microsoft Parallel Data Warehouse
Sample Customers
REZ-1, SonicWALL, IntegriChain, Fuseforward International Inc., Polystar, Live Rail, Mavenir Systems, JDSU Partners, BangoAuckland Transport, Erste Bank Group, Urban Software Institute, NJVC, Sheraton Hotels and Resorts, Tata Steel Europe
Find out what your peers are saying about Infobright vs. Microsoft Parallel Data Warehouse and other solutions. Updated: May 2019.
346,318 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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