SQL Server vs. Vertica

As of February 2019, SQL Server is ranked 3rd in Relational Databases with 32 reviews vs Vertica which is ranked 3rd in Data Warehouse with 14 reviews. The top reviewer of SQL Server writes "Just like a Windows PC needs basic defragmentation maintenance to run effectively, SQL Server needs its own regular maintenance". 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". SQL Server is most compared with Oracle Database, Teradata and SAP HANA. Vertica is most compared with Apache Hadoop, Pivotal Greenplum and Teradata.
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SQL Server Logo
23,947 views|12,914 comparisons
Vertica Logo
26,040 views|7,540 comparisons
Most Helpful Review
Anonymous User
Find out what your peers are saying about Oracle, Microsoft, Teradata and others in Relational Databases. Updated: January 2019.
317,758 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
I have experience with this product for many years. I never have problems with it. It can handle a PC, and it can also handle huge data. It is fast and efficient.This solution has proven stability and operational power.Tuning Advisor suggests where to add indexes and from where to remove them. It works like an adviser.SQL Server Profiler makes finding and debugging easy.I use it to fine tune my procedures and functions.Enables us to convert to bigger DBs and more easily move or upgrade between branches.Without any doubt the Integration Services and Analysis Services are the most widely used. These are the basis for data quality, data gathering, ETL process, as well as collation for the data warehouse, Cube-generation, and ad-hoc processes. The ease in which you may mold a process flow or even modularly add in new structures is something which is much needed in my job.It's a very capable, efficient, price-performant OLAP server.

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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.

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Cons
It would be nice if there was a feature to search for a specific value across multiple tables. This would save a lot of time for its users.Improvements to the indexing, columnstore indexing, and high availability groups are good improvements for future versions.Third-party services from Redgate should be built-in to it, like SQL Search.Debugging from the debugger tool functionality should be enhanced.From a DB administrator perspective, I would like to see more space requirements and space capacity history, so that we are able to see which DBs are growing, and by how much per day or week.An area for improvement would be the SQL Server process monitoring, which is quite basic and could sustain more information.The only item which I can list is application failure during Integration Services debugging, when restarting a process flow. In a number of instances the solutions fails. I have not given this much thought and simply stop and start the debugging service rather than restarting.The web interface and the command line interface could be better so we could manage and build some things around an API. If we could build our own solution, our own interface, and then manage the solution through that open API, that would be better.

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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.

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Pricing and Cost Advice
The setup cost is high, but it will return every penny.My advice is quite straightforward. If you know the number of users who really and truly need access to the Server then it is a no-brainer. If you do not know, then get the basic package and minimum licenses and start from there. Needless to say, users can develop/use data structures outside and then deploy onto the Server.The price has been going higher and higher. The market is quite price sensitive.This is a downside of enterprise Microsoft products.Currently, almost all of my machines are in Azure and I think it is the best way of licensing now (VM+software).​We are a Microsoft shop, so we use Active Directory. That integrates well with this product, but we did look at Oracle. We also looked at IBM. This was the best price point for us for what we were getting.​​It has the easiest licensing.The free version is cumbersome to use and maintain. But $5000 for a licence is more expense than the benefit I would get from a licensed version. A licence might be worth the price to simplify management and speed up searches.

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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.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.

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Ranking
3rd
Views
23,947
Comparisons
12,914
Reviews
30
Followers
672
Avg. Rating
8.5
3rd
out of 30 in Data Warehouse
Views
26,040
Comparisons
7,540
Reviews
15
Followers
774
Avg. Rating
8.7
Top Comparisons
Compared 17% of the time.
Compared 16% of the time.
Compared 14% of the time.
Compared 13% of the time.
Compared 13% of the time.
Compared 10% of the time.
Also Known As
Microsoft SQL Server, MSSQL, MS SQLMicro Focus Vertica, HPE Vertica, HPE Vertica on Demand
Learn
Microsoft
Micro Focus
Overview

SQL Server is the Microsoft-driven relational database management system. This system is used to store data as well as retrieve it when necessary; these functions can be supported by individual users or by multiple users within a larger network. The Microsoft SQL Server has warehousing options, quality and integration services, management tools that are simple to implement, as well as robust tools for development.

Looking at the more technical end of things, Microsoft SQL Server uses query languages such as T-SQL and ANSI SQL. Disaster recovery is one of the product's most prominent features, in addition to in-memory performance, scalability, and corporate business intelligence capabilities.

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 SQL Server
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Sample Customers
Microsoft SQL Server is used by businesses in every industry, including Great Western Bank, Aviva, the Volvo Car Corporation, BMW, Samsung, Principality Building Society, Wellmark Blue Cross and Blue Shield, and the Catholic District School Board of Eastern Ontario.Cerner, Game Show Network Game, Guess by Marciano, Supercell, Etsy, Nascar, Empirix, adMarketplace, and Cardlytics.
Top Industries
REVIEWERS
Transportation Company10%
Comms Service Provider10%
Software R&D Company10%
Retailer10%
VISITORS READING REVIEWS
Comms Service Provider24%
Financial Services Firm23%
Transportation Company9%
Non Tech Company7%
REVIEWERS
Software R&D Company21%
Media Company21%
Marketing Services Firm17%
Comms Service Provider14%
VISITORS READING REVIEWS
Comms Service Provider32%
Financial Services Firm20%
Healthcare Company9%
Health, Wellness And Fitness Company7%
Company Size
REVIEWERS
Small Business34%
Midsize Enterprise32%
Large Enterprise34%
VISITORS READING REVIEWS
Small Business25%
Midsize Enterprise13%
Large Enterprise62%
REVIEWERS
Small Business30%
Midsize Enterprise24%
Large Enterprise46%
VISITORS READING REVIEWS
Small Business37%
Midsize Enterprise15%
Large Enterprise48%
Find out what your peers are saying about Oracle, Microsoft, Teradata and others in Relational Databases. Updated: January 2019.
317,758 professionals have used our research since 2012.
We monitor all Relational Databases 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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