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Microsoft Azure Synapse Analytics vs Vertica comparison

 

Comparison Buyer's Guide

Executive SummaryUpdated on Dec 18, 2024

Review summaries and opinions

We asked business professionals to review the solutions they use. Here are some excerpts of what they said:
 

Categories and Ranking

Microsoft Azure Synapse Ana...
Ranking in Cloud Data Warehouse
2nd
Average Rating
8.0
Reviews Sentiment
7.0
Number of Reviews
91
Ranking in other categories
No ranking in other categories
Vertica
Ranking in Cloud Data Warehouse
8th
Average Rating
8.2
Reviews Sentiment
7.0
Number of Reviews
86
Ranking in other categories
Data Warehouse (5th)
 

Mindshare comparison

As of January 2025, in the Cloud Data Warehouse category, the mindshare of Microsoft Azure Synapse Analytics is 8.7%, down from 13.1% compared to the previous year. The mindshare of Vertica is 6.2%, up from 5.7% compared to the previous year. It is calculated based on PeerSpot user engagement data.
Cloud Data Warehouse
 

Featured Reviews

Matthew Spieth - PeerSpot reviewer
Beneficial real-time analytics, simple setup, and useful tutorials
Microsoft Azure Synapse Analytics could improve its compatibility with Visual Studio. One of the challenges for people moving from an on-premise to a cloud solution, such as Microsoft Azure Synapse Analytics, is that you're constantly working in a browser. There are people that have been working for decades on desktop applications. For them to start working in a browser, it's quite a change. Allowing people to work and do their work inside Visual Studio than in the browser, would be a large advantage.
T Venkatesh - PeerSpot reviewer
Processes query faster through multiple systems simultaneously, but it could support different data types
We use the solution for various tasks, including preparing data marts and generating offers. It helps extract data based on rules from the policy team and provides insights to enhance business operations. We also analyze transactions to target customers and improve business performance The…

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 is the level of processing power, and being able to complete tasks in parallel."
"The best thing about it is that it has integration at multiple places. It can talk to more than 90 types of data sources, which is one good thing about it."
"The architecture, including compute and storage, is good."
"Synapse makes it easy to integrate and onboard data from other Microsoft and Azure sources. The interface is familiar because we were using Azure Data Factory before Synapse. It made the transition even easier because the Synapse interface is exactly the same."
"-"
"Can capture all the transactional data throughout a company."
"Its scalability and ease of use are valuable. It is fairly simple for a tool that's that powerful. If you have a background in Microsoft SQL Server, it is a very easy-to-transition path."
"The most important feature for me is the integration with PolyBase."
"It maximizes cloud economics with Eon Mode by scaling cluster size to meet variable workload demands."
"Vertica gives knowledgeable users and DBAs excellent tools for tuning."
"For me, It's performance, scalability, low cost, and it's integrated into enterprise and big data environments."
"Bulk loads, batch loads, and micro-batch loads have made it possible for our organization to process near real-time ingestions and faster analytics."
"Speed and resiliency are probably the best parts of this product."
"I have found the solution to be scalable."
"Partition and join back to node are easy and simple for DBAs."
"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."
 

Cons

"The product could be more feature-rich."
"In the future, Microsoft Azure Synapse Analytics has the potential to enhance its capabilities by expanding its connectors, specifically with regard to Oracle solutions, such as operating systems. This would involve a comprehensive approach to adding more connectors for both data input and consumption purposes. By doing so, Microsoft Azure Synapse Analytics would be better equipped to meet the diverse needs of its users and achieve greater efficiency in its performance. The provision of more connectors is definitely a crucial area that needs improvement."
"The platform is not flexible, and the graphical user interface needs to be improved because the interface makes it hard for the end user to use it."
"This solution needs to have query caching so that if the same query is run and the results are available, it will return the data from the cache without having to re-run the query."
"The initial setup is complex."
"While the solution is flexible, sometimes this works against the user."
"In the future, Microsoft Azure Synapse Analytics could improve the performance, there are other solutions that are better, such as Databricks."
"The cost of the solution has room for improvement."
"Pricing could be more competitive."
"Very bad support, I would rate it two out of 10."
"Some of our small to medium-sized customers would like to see containerization and flexibility from the deployment standpoint."
"If you do not utilize the tuning tools like projections, encoding, partitions, and statistics, then performance and scalability will suffer."
"The integration with AI has room for improvement."
"We are looking for a cheaper deployment for the solution. Although we did a lot of benchmarks, like Redshift. We tried Redshift, it didn't work. It didn't work out for us as well."
"I believe the installation process could be streamlined."
"In a future release, we would like to have artificial intelligence capabilities like neural networks. Customers are demanding this type of analytics."
 

Pricing and Cost Advice

"It requires a less expensive version because currently, not every customer is able to buy it. If it could have a smaller setup that doesn't require so many resources, it would be helpful, and we would be able to use it in more cases. We are a small country, and most of our customers are quite small businesses."
"There is a cost calculator available online that allows you to input your entire scenario, and it will get back to you with information on what the costs are going to be."
"Price varies by use-case. You pay for the database itself in addition to any consumed data within Serverless plus other fees if you use the Data Factory that is inside."
"We normally pay between $300 and $500 per month, which is quite expensive for how much we actually use it, performance- and usage-wise. They have a cheap version and an expensive version, and our usage usually falls in the middle ground, which makes it not as cost-effective as it could be."
"I'm not sure of the exact cost, however, it is around $100,000 a year."
"Pay for what you use"
"There's no license required for Microsoft Azure Synapse Analytics. the model is more of a use-based system. You got to pay for computing power and disk storage. Everything has different units and is kept backed up. Microsoft Azure Synapse Analytics uses storage units(SU). This is how everything's computed for cost."
"The solution is subscription-based. You can also pay to use the product as you go."
"Vertica is an expensive tool."
"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 price of Vertica is less expensive than some competitors, such as Teradata."
"Read the fine print carefully."
"It is fast to purchase through the AWS Marketplace."
"It's an expensive product"
"The solution is relatively cost-effective."
"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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Top Industries

By visitors reading reviews
Educational Organization
48%
Financial Services Firm
6%
Computer Software Company
6%
Manufacturing Company
5%
Computer Software Company
18%
Financial Services Firm
18%
Manufacturing Company
8%
University
5%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
 

Questions from the Community

How does Amazon Redshift compare with Microsoft Azure Synapse Analytics?
Amazon Redshift is very fast, has a very good response time, and is very user-friendly. The initial setup is very straightforward. This solution can merge and integrate well with many different dat...
What do you like most about Microsoft Azure Synapse Analytics?
The product is easy to use, and anybody can easily migrate to advanced DB.
What is your experience regarding pricing and costs for Microsoft Azure Synapse Analytics?
The financial aspect, including pricing and cost reduction, is not something I focus on.
What do you like most about Vertica?
Vertica is easy to use and provides really high performance, stability, and scalability.
What is your experience regarding pricing and costs for Vertica?
The solution is relatively cost-effective. Pricing and licensing are reasonable compared to other solutions.
What needs improvement with Vertica?
The product could improve by adding support for a wider variety of data types and enhancing features to better compete with other databases.
 

Also Known As

Azure Synapse Analytics, Microsoft Azure SQL Data Warehouse, Microsoft Azure SQL DW, Azure SQL Data Warehouse, MS Azure Synapse Analytics
Micro Focus Vertica, HPE Vertica, HPE Vertica on Demand
 

Overview

 

Sample Customers

Toshiba, Carnival, LG Electronics, Jet.com, Adobe, 
Cerner, Game Show Network Game, Guess by Marciano, Supercell, Etsy, Nascar, Empirix, adMarketplace, and Cardlytics.
Find out what your peers are saying about Microsoft Azure Synapse Analytics vs. Vertica and other solutions. Updated: January 2025.
831,265 professionals have used our research since 2012.