Compare SAP HANA vs. Vertica

SAP HANA is ranked 6th in Relational Databases with 4 reviews while Vertica is ranked 3rd in Data Warehouse with 11 reviews. SAP HANA is rated 8.2, while Vertica is rated 8.6. The top reviewer of SAP HANA writes "Huge bandwidth and offers real time results ". On the other hand, the top reviewer of Vertica writes "Its speed differentiates it from other columnars, and works on commodity hardware". SAP HANA is most compared with SQL Server, Oracle Database and Teradata, whereas Vertica is most compared with Amazon Redshift, Apache Hadoop and Snowflake.
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SAP HANA Logo
10,122 views|8,225 comparisons
Vertica Logo
15,069 views|8,605 comparisons
Most Helpful Review
Find out what your peers are saying about Microsoft, Oracle, Teradata and others in Relational Databases. Updated: September 2019.
365,257 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
If you want to scale with new processes and new reports, that's fairly easy.This solution is very fast.It has a very huge bandwidth and data transfer.Provides us with predictive capabilities for asset maintenance, and real-time forecasts.

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Eighty percent of the ETL operations have improved since implementing this solution.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.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
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.The inclusion of a well-performing Time Machine is vital.The solution is very expensive, however. The pricing depends on the number of users and many other factors that affect licensing.Needs graphical programming without coding.

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Fact-to-fact joins on multi-billion record tables perform poorly.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 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
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.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.

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Ranking
6th
Views
10,122
Comparisons
8,225
Reviews
4
Average Words per Review
447
Avg. Rating
8.3
3rd
out of 30 in Data Warehouse
Views
15,069
Comparisons
8,605
Reviews
11
Average Words per Review
272
Avg. Rating
8.5
Top Comparisons
Compared 41% of the time.
Compared 9% of the time.
Compared 8% of the time.
Compared 13% of the time.
Compared 12% of the time.
Compared 11% 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.

Offer
Learn more about SAP HANA
Learn more about Vertica
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
VISITORS READING REVIEWS
Software R&D Company25%
Comms Service Provider11%
Financial Services Firm11%
Retailer9%
REVIEWERS
Media Company21%
Software R&D Company21%
Marketing Services Firm17%
Comms Service Provider14%
VISITORS READING REVIEWS
Comms Service Provider23%
Software R&D Company19%
Financial Services Firm15%
Retailer5%
Company Size
REVIEWERS
Small Business38%
Midsize Enterprise25%
Large Enterprise38%
REVIEWERS
Small Business29%
Midsize Enterprise24%
Large Enterprise47%
VISITORS READING REVIEWS
Small Business30%
Midsize Enterprise20%
Large Enterprise51%
Find out what your peers are saying about Microsoft, Oracle, Teradata and others in Relational Databases. Updated: September 2019.
365,257 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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