Microsoft Parallel Data Warehouse vs Vertica

Microsoft Parallel Data Warehouse is ranked 10th in Data Warehouse with 3 reviews vs Vertica which is ranked 2nd in Data Warehouse with 49 reviews. The top reviewer of Microsoft Parallel Data Warehouse writes "Gives us the ability to distribute large data sets across nodes". The top reviewer of Vertica writes "The ability to view running queries and cancel problem ones from the Management Console is a very nice feature". Microsoft Parallel Data Warehouse is most compared with Oracle Exadata, Teradata and Netezza. Vertica is most compared with Oracle Exadata, Teradata and Pivotal Greenplum. See our Microsoft Parallel Data Warehouse vs Vertica report.
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Most Helpful Review
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Quotes From Members Comparing Microsoft Parallel Data Warehouse vs Vertica

We asked business professionals to review the solutions they use. Here are some excerpts of what they said:
Pros
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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Its analytics has enabled Pythian's clients to get the business insights as quick as they wanted. Its lower maintenance has also improved the ROI.Vertica's most outstanding features are the compression rates achieved and the speed of access of high volume data.Allows us to take volumes and process them at a very high speed.The feature of the product that is most important is the speed. I needed a columnar database, and its speed is what it's built to do, and so that's what really does differentiate Vertica from its competitors.I don't need any special hardware. I can use commodity hardware, which is nice to have in a commercial solution.Vertica is a columnar database, this support our developments in analytics, advanced analytics, and ETL process with large sets of data.Partition and join back to node are easy and simple for DBAs.DBAs don’t need to add a partition every month/quarter like with other DBs.

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Cons
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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One feature, which has really benefited us, is the scalability offered by Vertica as it has enabled Pythian's clients to manage data with agility.Support is an area where it could get better.Promotion/marketing must be improved, even though it is a very useful product at very good price, it is not as "popular" as it should be.I believe the installation process could be streamlined.There are a lot of limitations within this product and it makes things extremely hard for developers. It lacks Stored Procedure, packages, and triggers like other RDBMs.Very bad support, I would rate it two out of 10.Performance of management of metadata layer (database catalog) needs improvement. We still have to have smaller customers on PostgreSQL; Vertica cannot manage thousands of schemata.Suboptimal projection design causes queries to not scale linearly.

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Pricing and Cost Advice
Information Not Available
Read the fine print carefully.I think it's starting to get a little expensive. Open source products are starting to get more robust, so I think that's something that they need to start looking at in terms of licensing.The first TB is free and you can use all the Vertica features. After 1TB you have to pay for licensing. The product is worth it, but be aware of this condition, and plan. The compression ratio is explained in the documentation.Start with license per 1TB. Starting from hundreds of TB there is unlimited licensing to be considered. Move historical data to HDFS/S3 which are significantly cheaper or even free.It's free up to three nodes and 1TB, and then get in contact with their sales guys.Work with a vendor, if possible, and take advantage of more aggressive discounts at mid-fiscal year (April) and fiscal year-end (October).​

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Microsoft parallel data warehouse vs. vertica report from it central station 2018 05 04 thumbnail
Find out what your peers are saying about Microsoft Parallel Data Warehouse vs Vertica and others in Data Warehouse.
270,647 professionals have used our research since 2012.
Ranking
RANKING
Views
5,022
Comparisons
3,551
Reviews
3
Followers
851
Avg. Rating
5.7
Views
21,170
Comparisons
8,426
Reviews
49
Followers
1,285
Avg. Rating
8.2
Top Comparisons
Top ComparisonsSee more Microsoft Parallel Data Warehouse competitors »
Jt hjyjg 400x400
Compared 21% of the time.
Teradata
Compared 17% of the time.
Pivotal logo
Compared 12% of the time.
See more Vertica competitors »
Also Known As
Also Known AsMicrosoft PDW, SQL Server Data Warehouse, Microsoft SQL Server Parallel Data WarehouseMicro Focus Vertica, HPE Vertica, HPE Vertica on Demand
Website/Video
Website/VideoMicrosoft
  • Vendor 7622 screenshot 1524943927
Micro Focus
  • Vendor 7619 screenshot 1527352786
OverviewQuestionmark icon
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.

Micro Focus Vertica is the most advanced SQL database analytics portfolio built from the very first line of code to address the most demanding Big Data analytics initiatives. Micro Focus Vertica delivers speed without compromise, scale without limits, and the broadest range of consumption models. Choose Vertica on premise, on demand, in the cloud, or on Hadoop. With support for all leading BI and visualization tools, open source technologies like Hadoop and R, and built-in analytical functions, Vertica helps you derive more value from your Enterprise Data Warehouse and data lakes and get to market faster with your analytics initiatives.

To learn more about Micro Focus Vertica Advanced Analytics, visit our website.

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Learn more about Microsoft Parallel Data Warehouse
Learn more about Vertica
Sample Customers
Sample CustomersAuckland Transport, Erste Bank Group, Urban Software Institute, NJVC, Sheraton Hotels and Resorts, Tata Steel EuropeCerner, Game Show Network Game, Guess by Marciano, Supercell, Etsy, Nascar, Empirix, adMarketplace, and Cardlytics.
Top IndustriesQuestionmark icon
Top Industries
VISITORS READING REVIEWS
Financial Services Firm
21%
Hospitality Company
10%
Comms Service Provider
9%
Healthcare Company
8%
REVIEWERS
Marketing Services Firm
23%
Software R&D Company
19%
Media Company
16%
Comms Service Provider
13%
VISITORS READING REVIEWS
Financial Services Firm
23%
Comms Service Provider
13%
Marketing Services Firm
10%
Media Company
10%
Company SizeQuestionmark icon
Company Size
REVIEWERS
Small Business
25%
Midsize Enterprise
13%
Large Enterprise
63%
VISITORS READING REVIEWS
Small Business
11%
Midsize Enterprise
19%
Large Enterprise
70%
REVIEWERS
Small Business
30%
Midsize Enterprise
25%
Large Enterprise
44%
VISITORS READING REVIEWS
Small Business
24%
Midsize Enterprise
25%
Large Enterprise
51%
Microsoft parallel data warehouse vs. vertica report from it central station 2018 05 04 thumbnail
Find out what your peers are saying about Microsoft Parallel Data Warehouse vs Vertica and others in Data Warehouse.
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270,647 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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