Microsoft Parallel Data Warehouse vs. Vertica
As of February 2019, Microsoft Parallel Data Warehouse is ranked 11th in Data Warehouse with 3 reviews vs Vertica which is ranked 3rd in Data Warehouse with 14 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 architecture means it can process/ingest data in parallel to reporting and analyzing because of in-memory Write-Optimized Storage alongside the analytics optimized Read-Optimized Storage". Microsoft Parallel Data Warehouse is most compared with Oracle Exadata, Teradata and Netezza. Vertica is most compared with Apache Hadoop, Pivotal Greenplum and Teradata. See our Microsoft Parallel Data Warehouse vs. Vertica report.
Add to compare
 |
Most Helpful Review | |||||
|
| ||||
 Find out what your peers are saying about Microsoft Parallel Data Warehouse vs. Vertica and other solutions. Updated: January 2019. 316,268 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. | 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. 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. 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. Its projections and encoding are excellent tools for tuning large volumes. |
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. | It needs integration with multiple clouds. 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 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. 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. |
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. It's free up to three nodes and 1TB, and then get in contact with their sales guys. |
 Use our free recommendation engine to learn which Data Warehouse solutions are best for your needs. 316,268 professionals have used our research since 2012. | |
Ranking  | |
Views 6,048 Comparisons 2,617 Reviews 3 Followers 400 Avg. Rating 5.7 | Views 26,040 Comparisons 7,540 Reviews 15 Followers 774 Avg. Rating 8.7 |
Top Comparisons | |
 Compared 26% of the time.  Compared 15% of the time.  Compared 14% of the time. |  Compared 13% of the time.  Compared 12% of the time. Compared 10% 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 | Media Company21% Software R&D Company21% Marketing Services Firm17% Comms Service Provider14% Comms Service Provider32% Financial Services Firm19% Healthcare Company9% Health, Wellness And Fitness Company7% |
Company Size | |
Small Business38% Midsize Enterprise13% Large Enterprise50% | Small Business30% Midsize Enterprise24% Large Enterprise46% Small Business37% Midsize Enterprise16% Large Enterprise47% |
Find out what your peers are saying about Microsoft Parallel Data Warehouse vs. Vertica and other solutions. Updated: January 2019.
316,268 professionals have used our research since 2012.
See also Microsoft Parallel Data Warehouse Reviews, Vertica Reviews, and our list of Best Data Warehouse Companies.
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.
Sign in to see all reviews and comparisons. It's free!
By clicking Sign in with LinkedIn™ you agree to let IT Central Station use your LinkedIn profile
and email address in accordance with our Privacy Policy and agree to the Terms of Service.
- Unlimited access to 23000+ reviews from real users
- Your own page to promote your professional skills
- Networking events and peer-to-peer consultations
Already a member? Sign in.
By registering, you agree to our Terms of Service and Privacy Policy.
- Unlimited access to 23000+ reviews from real users
- Your own page to promote your professional skills
- Networking events and peer-to-peer consultations
Already a member? Sign In.