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.

Microsoft Parallel Data Warehouse

Vertica

18481

Microsoft Parallel Data Warehouse

Based on 3 reviews.

25921

Vertica

Based on 49 reviews.

Most Helpful Review

Reviewer9012

Teradata DBA / Parallel datawarehouse DBA at a tech vendor

Concurrency issues forced the customer to use the raw DB as a secondary solution

It helped, initially, as a replacement for our DW DB, but later on faced issues due to concurrency, which forced the customer to use the DB as a... Read more »

Alberto Guisande

Director at Decision Science

Allows us to take volumes and process them at a very high speed

Previous to Vertica, some analysis could not be made because of the amount of data needed. Vertica allowed us to take those volumes and process... Read more »

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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. Read more »	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. Read more »
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. Read more »	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. Read more »

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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Ranking
RANKING	10th out of 28 In Data Warehouse Views 5,022 Comparisons 3,551 Reviews 3 Followers 851 Avg. Rating 5.7	2nd out of 28 In Data Warehouse Views 21,170 Comparisons 8,426 Reviews 49 Followers 1,285 Avg. Rating 8.2
Top Comparisons
Top Comparisons	Oracle Exadata vs. Microsoft Parallel Data Warehouse Compared 29% of the time. Teradata vs. Microsoft Parallel Data Warehouse Compared 18% of the time. Netezza vs. Microsoft Parallel Data Warehouse Compared 13% of the time. See more Microsoft Parallel Data Warehouse competitors »	Oracle Exadata vs. Vertica Compared 21% of the time. Teradata vs. Vertica Compared 17% of the time. Pivotal Greenplum vs. Vertica Compared 12% of the time. See more Vertica competitors »

Also Known As
Also Known As	Microsoft PDW, SQL Server Data Warehouse, Microsoft SQL Server Parallel Data Warehouse	Micro Focus Vertica, HPE Vertica, HPE Vertica on Demand
Website/Video
Website/Video	Microsoft	Micro Focus
Overview
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.
OFFER
Learn more about Microsoft Parallel Data Warehouse Learn More	Learn more about Vertica Learn More
Sample Customers
Sample Customers	Auckland Transport, Erste Bank Group, Urban Software Institute, NJVC, Sheraton Hotels and Resorts, Tata Steel Europe	Cerner, Game Show Network Game, Guess by Marciano, Supercell, Etsy, Nascar, Empirix, adMarketplace, and Cardlytics.
Top Industries
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 Size
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%

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