Compare Snowflake vs. Vertica
Snowflake is ranked 1st in Data Warehouse with 10 reviews while Vertica is ranked 4th in Data Warehouse with 7 reviews. Snowflake is rated 8.2, while Vertica is rated 9.2. The top reviewer of Snowflake writes "Fast, convenient and requires almost no administration". On the other hand, the top reviewer of Vertica writes "Allows us to take volumes and process them at a very high speed". Snowflake is most compared with Microsoft Azure SQL Data Warehouse, Apache Hadoop and Amazon Redshift, whereas Vertica is most compared with Snowflake, Apache Hadoop and Amazon Redshift. See our Snowflake vs. Vertica report.
Most Helpful Review | |||
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 Find out what your peers are saying about Snowflake vs. Vertica and other solutions. Updated: March 2020. 407,242 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 like the idea that you can assign roles and responsibilities, limiting access to data. It has great flexibility whenever we are loading data and performs ELT (extract, load, transform) techniques instead of ETL. The snapshot feature is good, the rollback feature is good and the interface is user-friendly. The thing I find most valuable is that scalability, space storage, and computing power is separate. When you scale up, it is live from one second to the next — constantly available as you scale — so there is no downtime or interruption of services. The initial setup is straightforward. You just need to follow the documentation. They separate compute and storage. You can scale storage independently of the computer, or you can scale computing independently of storage. If you need to buy more computer parts you can add new virtual warehouses in Snowflake. Similarly, if you need more storage, you take more storage. It's most scalable in the database essentially; typically you don't have this scalability independence on-premises. The most valuable features are the clustering, LS50, being able to change the size, the pay per use feature, the flexibility with many different sources and analytic applications. As long as you don't need to worry about the storage or cost, this solution would be one of the best ones on the market for scalability purposes. | The performance is very good and the aggregate records are fast. 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). |
Cons | |
If you go with one cloud provider, you can't switch. They do have a native connector to connect with integration tools for loading data, but it would be much better to have the functionality built-in. Availability is a problem. Maybe there could be some more connectors to other systems, but this is what they are constantly developing anyway. The solution could improve the user interface and add functionality to the system. The solution should offer an on-premises version also. We have some requirements where we would prefer to use it as a template. Support needs improvement, as it can take several days before you get some initial support. There are some stored procedures that we've had trouble with. The solution also needs to fine-tune the connectors to be able to connect into the system source. | When it is about to reach the maximum storage capacity, it becomes slow. 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. |
Pricing and Cost Advice | |
You pay based on the data that you are storing in the data warehouse and there are no maintenance costs. The whole licensing system is based on credit points. You can also make a license agreement with the company so that you buy credit points and then you use them. What you do not use in one year can be carried over to the next year. Pricing can be confusing for customers. | 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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Ranking  | |
Views 20,612 Comparisons 14,262 Reviews 10 Average Words per Review 642 Avg. Rating 8.2 | Views 16,008 Comparisons 8,979 Reviews 7 Average Words per Review 199 Avg. Rating 9.1 |
Top Comparisons | |
 Compared 23% of the time.  Compared 21% of the time.  Compared 11% of the time. |  Compared 17% of the time. Compared 13% of the time. Compared 11% of the time. |
Also Known As | |
| Snowflake Computing | Micro Focus Vertica, HPE Vertica, HPE Vertica on Demand |
Learn | |
| Snowflake Computing | Micro Focus |
Overview | |
Snowflake provides a data warehouse built for the cloud, delivering a solution capable of solving problems for which legacy, on-premises and cloud data platforms were not designed. | 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 Snowflake | Learn more about Vertica |
Sample Customers | |
| Accordant Media, Adobe, Kixeye Inc., Revana, SOASTA, White Ops | Cerner, Game Show Network Game, Guess by Marciano, Supercell, Etsy, Nascar, Empirix, adMarketplace, and Cardlytics. |
Top Industries | |
Software R&D Company39% Comms Service Provider9% Retailer6% Insurance Company6% | Software R&D Company21% Media Company21% Marketing Services Firm17% Comms Service Provider14% Software R&D Company36% Comms Service Provider20% Media Company7% Financial Services Firm5% |
Company Size | |
Small Business20% Midsize Enterprise20% Large Enterprise60% Small Business4% Midsize Enterprise10% Large Enterprise86% | Small Business29% Midsize Enterprise23% Large Enterprise48% |
Find out what your peers are saying about Snowflake vs. Vertica and other solutions. Updated: March 2020.
407,242 professionals have used our research since 2012.
See also Snowflake Reviews, Vertica Reviews, and our list of Best Data Warehouse Companies.
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