Compare Microsoft Analytics Platform System vs. Vertica

Microsoft Analytics Platform System is ranked 16th in Data Warehouse with 1 review while Vertica is ranked 3rd in Data Warehouse with 11 reviews. Microsoft Analytics Platform System is rated 0, while Vertica is rated 8.6. The top reviewer of Microsoft Analytics Platform System writes "Helps our customers to discover trends, which provides useful information based on their business". On the other hand, the top reviewer of Vertica writes "Its speed differentiates it from other columnars, and works on commodity hardware". Microsoft Analytics Platform System is most compared with Apache Hadoop, Oracle Exadata and Teradata, whereas Vertica is most compared with Amazon Redshift, Apache Hadoop and Snowflake.
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Most Helpful Review
Find out what your peers are saying about Oracle, Teradata, Micro Focus and others in Data Warehouse. Updated: October 2019.
372,622 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 is closely integrated with other products in the MS portfolio.Helps our customers to discover trends, which provides useful information based on their business.

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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.

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Cons
‚ÄčHybrid environments are complex to manage.

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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.

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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
16th
out of 30 in Data Warehouse
Views
879
Comparisons
482
Reviews
0
Average Words per Review
179
Avg. Rating
N/A
3rd
out of 30 in Data Warehouse
Views
15,217
Comparisons
8,628
Reviews
11
Average Words per Review
272
Avg. Rating
8.5
Top Comparisons
Compared 13% of the time.
Compared 13% of the time.
Compared 12% of the time.
Also Known As
Microsoft APSMicro Focus Vertica, HPE Vertica, HPE Vertica on Demand
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Microsoft
Micro Focus
Overview
The Microsoft Analytics Platform System can meet the demands of your evolving data warehouse environment with its scale-out, massively parallel processing integrated system supporting hybrid data warehouse scenarios. It provides the ability to query across relational and non-relational data by leveraging Microsoft PolyBase and industry-leading big data technologies. It offers the lowest price per terabyte for large data warehouse workloads.

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 Analytics Platform System
Learn more about Vertica
Sample Customers
Transport for London, E-Plus Mobilfunk GmbH & Co. KG, Prometeia, Tangerine, SSM Health Care, Service Corporation InternationalCerner, Game Show Network Game, Guess by Marciano, Supercell, Etsy, Nascar, Empirix, adMarketplace, and Cardlytics.
Top Industries
No Data Available
REVIEWERS
Media Company21%
Software R&D Company21%
Marketing Services Firm17%
Comms Service Provider14%
VISITORS READING REVIEWS
Software R&D Company26%
Comms Service Provider22%
Financial Services Firm9%
Media Company6%
Company Size
No Data Available
REVIEWERS
Small Business29%
Midsize Enterprise24%
Large Enterprise47%
VISITORS READING REVIEWS
Small Business9%
Midsize Enterprise25%
Large Enterprise66%
Find out what your peers are saying about Oracle, Teradata, Micro Focus and others in Data Warehouse. Updated: October 2019.
372,622 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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