Compare SAP HANA vs. Vertica

SAP HANA is ranked 4th in Relational Databases with 11 reviews while Vertica is ranked 5th in Data Warehouse with 6 reviews. SAP HANA is rated 8.2, while Vertica is rated 9.0. The top reviewer of SAP HANA writes "We can get more tenders because of the lower cost while providing a better product or service". On the other hand, the top reviewer of Vertica writes "Allows us to take volumes and process them at a very high speed". SAP HANA is most compared with SQL Server, Oracle Database and Oracle Database In-Memory, whereas Vertica is most compared with Snowflake, Apache Hadoop and Amazon Redshift.
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SAP HANA Logo
10,627 views|8,733 comparisons
Vertica Logo
16,067 views|8,925 comparisons
Most Helpful Review
Find out what your peers are saying about Microsoft, Oracle, Teradata and others in Relational Databases. Updated: February 2020.
397,717 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 memory is the solution's most valuable feature. It's the main feature of HANA. Others are still the regular IT databases that are on storage and are therefore much slower than HANA. The solution is quite fast.The user interface is very good. You can do any kind of reporting analytics from the platform.The data storage requirement is reduced from the original database to the HANA database.The functionality is of the solution is very good.One feature I find very valuable, is the response time of the application on the database memory.Integration is the most valuable feature we use SAP HANA for.The most value for us was in terms of using it to issue tenders online. We host our server, but it is open to the public, so clients who want to buy those tenders were able to go online, put their tender documents up, and we could evaluate them using SAP.If you want to scale with new processes and new reports, that's fairly easy.

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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
Unlike other databases, it lacks management features that legacy databases like Oracle or SQL servers have. They need to make the solution easier to manage and offer tools that make management more effective. A lot of things you have on traditional databases you have to develop into HANA.When you do a report on a non-SAP platform, you face some compatibility problems.I think that the pricing is high and it needs improvement.The challenge right now is all databases are on S4 HANA architecture. You're running it for HANA, but not all the functionalities are available. If they can speed up getting all the databases on S4 HANA that would help.If the developers were to enhance or improve the application logic while processing the transactions, that would be great.FI, or the financial module of SAP, has room for improvement. It has to have some better localization for the Middle East, especially in regards to taxes and the letter of credit cycle. I would like to see better localization from the HCM.The interface is a little bit hard to customize. You almost have to consult the SAP original developer to change it.In terms of improvement, the speed is not as good as we thought it would be. That is why we are trying different solutions that will be built with different technologies.

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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
People who are technical will accept the cost, but financially they will assess whether this solution will bring them revenue or not. People often ask, how will I profit when the cost is so high?Set up a consortium of consulting partners and hardware vendors to define your tech. Landscape TCO (total cost of ownership) and then approach the OEM for pricing (on-premise or on cloud or a hybrid model). Check if you can bring your own licenses for some of the existing application licenses on the new platform, to reduce TCO.

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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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Ranking
4th
Views
10,627
Comparisons
8,733
Reviews
11
Average Words per Review
429
Avg. Rating
8.3
5th
out of 30 in Data Warehouse
Views
16,067
Comparisons
8,925
Reviews
6
Average Words per Review
214
Avg. Rating
9.0
Top Comparisons
Compared 44% of the time.
Compared 9% of the time.
Compared 16% of the time.
Compared 13% of the time.
Compared 12% of the time.
Also Known As
SAP High-Performance Analytic Appliance, HANAMicro Focus Vertica, HPE Vertica, HPE Vertica on Demand
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SAP
Micro Focus
Overview

The SAP HANA® platform helps you reimagine business by combining a robust database with services for creating innovative applications. It enables real-time business by converging trans-actions and analytics on one in-memory platform. Running on premise or in the cloud, SAP HANA untangles IT complexity, bringing huge savings in data management and empowering decision makers everywhere with new insight and predictive power.

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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Learn more about SAP HANA
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Sample Customers
Unilever, NHS 24, adidas Group, CHIO Aachen, Hamburg Port Authority (HPA), Bangkok Airways Public Company LimitedCerner, Game Show Network Game, Guess by Marciano, Supercell, Etsy, Nascar, Empirix, adMarketplace, and Cardlytics.
Top Industries
REVIEWERS
Energy/Utilities Company25%
Government13%
Construction Company13%
Wholesaler/Distributor13%
VISITORS READING REVIEWS
Software R&D Company37%
Comms Service Provider13%
Media Company6%
Retailer5%
REVIEWERS
Software R&D Company21%
Media Company21%
Marketing Services Firm17%
Comms Service Provider14%
VISITORS READING REVIEWS
Software R&D Company34%
Comms Service Provider22%
Financial Services Firm6%
Media Company5%
Find out what your peers are saying about Microsoft, Oracle, Teradata and others in Relational Databases. Updated: February 2020.
397,717 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.