Compare Microsoft Parallel Data Warehouse vs. Vertica
Microsoft Parallel Data Warehouse is ranked 13th in Data Warehouse with 2 reviews while Vertica which is ranked 3rd in Data Warehouse with 11 reviews. Microsoft Parallel Data Warehouse is rated 4.6, while Vertica is rated 8.6. The top reviewer of Microsoft Parallel Data Warehouse writes "Concurrency issues forced the customer to use the raw DB as a secondary solution". On the other hand, the top reviewer of Vertica writes "Its speed differentiates it from other columnars, and works on commodity hardware". Microsoft Parallel Data Warehouse is most compared with Oracle Exadata, Snowflake and Teradata, whereas Vertica is most compared with Amazon Redshift, Apache Hadoop and Snowflake. See our Microsoft Parallel Data Warehouse vs. Vertica report.
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Most Helpful Review | |||
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 Find out what your peers are saying about Microsoft Parallel Data Warehouse vs. Vertica and other solutions. Updated: July 2019. 360,284 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 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. | Eighty percent of the ETL operations have improved since implementing this solution. 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. It maximize cloud economics for mission-critical big data analytical initiatives. It maximizes cloud economics with Eon Mode by scaling cluster size to meet variable workload demands. Bulk loads, batch loads, and micro-batch loads have made it possible for our organization to process near real-time ingestions and faster analytics. Any novice user can tune vertical queries with minimal training (or no training at all). Vertica gives knowledgeable users and DBAs excellent tools for tuning. |
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. | Fact-to-fact joins on multi-billion record tables perform poorly. 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. It needs integration with multiple clouds. It should provide a GUI interface for data management and tuning. Monitoring tools need to be lightweight. They should not take up heavy resources of the main server. If you do not utilize the tuning tools like projections, encoding, partitions, and statistics, then performance and scalability will suffer. It would be great if this were a managed service in AWS. |
Pricing and Cost Advice | |
Information Not Available | It is fast to purchase through the AWS Marketplace. The pricing and licensing depend on the size of your environment and the zone where you want to implement. 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. |
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Ranking  | |
Views 6,784 Comparisons 2,310 Reviews 2 Average Words per Review 116 Avg. Rating 4.5 | Views 31,232 Comparisons 8,464 Reviews 11 Average Words per Review 272 Avg. Rating 8.5 |
Top Comparisons | |
 Compared 25% of the time.  Compared 13% of the time.  Compared 12% of the time. |  Compared 13% of the time.  Compared 12% of the time. Compared 11% of the time. |
Also Known As | |
| Microsoft PDW, SQL Server Data Warehouse, Microsoft SQL Server Parallel Data Warehouse | Micro Focus Vertica, HPE Vertica, HPE Vertica on Demand |
Learn | |
| Microsoft | Micro Focus |
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 about Vertica |
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 | |
No Data Available | Software R&D Company21% Media Company21% Marketing Services Firm17% Comms Service Provider14% Comms Service Provider32% Financial Services Firm26% Health, Wellness And Fitness Company7% Manufacturing Company6% |
Company Size | |
Small Business38% Midsize Enterprise13% Large Enterprise50% | Small Business29% Midsize Enterprise24% Large Enterprise47% Small Business38% Midsize Enterprise18% Large Enterprise45% |
Find out what your peers are saying about Microsoft Parallel Data Warehouse vs. Vertica and other solutions. Updated: July 2019.
360,284 professionals have used our research since 2012.
See also Microsoft Parallel Data Warehouse Reviews, Vertica Reviews, and our list of Best Data Warehouse Companies.
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