Compare Microsoft Azure SQL Data Warehouse vs. Vertica

Microsoft Azure SQL Data Warehouse is ranked 2nd in Cloud Data Warehouse with 10 reviews while Vertica is ranked 3rd in Cloud Data Warehouse with 6 reviews. Microsoft Azure SQL Data Warehouse is rated 7.8, while Vertica is rated 9.0. The top reviewer of Microsoft Azure SQL Data Warehouse writes "A good solution for simple data warehousing that scales well, but it needs better technical support". On the other hand, the top reviewer of Vertica writes "Allows us to take volumes and process them at a very high speed". Microsoft Azure SQL Data Warehouse is most compared with Snowflake, SAP BW/4HANA and Amazon Redshift, whereas Vertica is most compared with Snowflake, Apache Hadoop and Amazon Redshift. See our Microsoft Azure SQL Data Warehouse vs. Vertica report.
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Most Helpful Review
Find out what your peers are saying about Microsoft Azure SQL Data Warehouse vs. Vertica and other solutions. Updated: January 2020.
399,230 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
The most valuable feature of the solution is the analytics and that it can connect with Power BI.The most valuable feature is the incremental load because we do not need to refresh the entire data on a daily basis.Azure elasticity allows us to scale as much as we want, and it is pay-as-you-go, so we can scale up as we need to.The features we've found most valuable for data warehouses is extracting data, SSIS packages, and the DBs.The main advantage of using this solution is its ability to scale and handle very large amounts of data, in the petabyte range.The most valuable feature is the scalability.The MPP (Massively Parallel Processing) architecture helps to make things a lot faster.The initial setup was really easy and straightforward.

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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.Eighty percent of the ETL operations have improved since implementing this solution.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
I would like my team to be able to build pipelines that integrate with the Azure Data Factory.I would like to see version control implemented into the data warehouse.The configuration for things like high-availability could be more user-friendly for non-technical users.I'm not entirely happy with the billing model. I'm not entirely happy with how the enterprise services are pretty expensive, but that's about it.With respect to what needs to be improved, concurrent connectivity has some limitations.It's pay as you go, so you never know what your bill is going to be beforehand, and that's scary for customers. If you have someone who makes a mistake and the program's a loop that is running all night, you could receive a very expensive bill.This is a young product in transition to the cloud and it needs more work before it is both settled as a product and competitive in the market.It would be of interest to improve things like the web service integration and availability in terms of being easy to create internal web services in the database.

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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.Fact-to-fact joins on multi-billion record tables perform poorly.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
The licensing fees for this solution are on a pay-per-use basis, and not very expensive.When we are not using this solution we can simply shut it down saving us costs, which is a nice advantage.This solution starts at €1000.00 a month for just the basics and can go up to €300,000.00 per month for the fastest version.The pricing is okay. You can pay as you go.The price of this solution could be improved.

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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.

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report
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399,230 professionals have used our research since 2012.
Ranking
2nd
Views
8,085
Comparisons
6,960
Reviews
10
Average Words per Review
496
Avg. Rating
7.7
3rd
Views
16,067
Comparisons
8,925
Reviews
6
Average Words per Review
214
Avg. Rating
9.0
Top Comparisons
Compared 16% of the time.
Compared 13% of the time.
Compared 12% of the time.
Also Known As
Microsoft Azure SQL DW, Azure SQL Data WarehouseMicro Focus Vertica, HPE Vertica, HPE Vertica on Demand
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Microsoft
Micro Focus
Overview

Azure SQL Data Warehouse is a Fast, flexible, and secure analytics platform for the enterprise. Azure SQL Data Warehouse lets you independently scale compute and storage, while pausing and resuming your data warehouse within minutes through a massively parallel processing architecture designed for the cloud. Seamlessly create your hub for analytics along with native connectivity with data integration and visualization services, all while using your existing SQL and BI skills.

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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Sample Customers
Toshiba, Carnival, LG Electronics, Jet.com, Adobe, Cerner, Game Show Network Game, Guess by Marciano, Supercell, Etsy, Nascar, Empirix, adMarketplace, and Cardlytics.
Top Industries
VISITORS READING REVIEWS
Software R&D Company41%
Comms Service Provider10%
Financial Services Firm9%
Manufacturing Company5%
REVIEWERS
Software R&D Company21%
Media Company21%
Marketing Services Firm17%
Comms Service Provider14%
VISITORS READING REVIEWS
Software R&D Company35%
Comms Service Provider22%
Financial Services Firm6%
Media Company5%
Find out what your peers are saying about Microsoft Azure SQL Data Warehouse vs. Vertica and other solutions. Updated: January 2020.
399,230 professionals have used our research since 2012.
We monitor all Cloud 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.