Compare SAP IQ vs. Vertica

SAP IQ is ranked 8th in Relational Databases with 1 review while Vertica is ranked 3rd in Data Warehouse with 10 reviews. SAP IQ is rated 8.0, while Vertica is rated 8.6. The top reviewer of SAP IQ writes "An excellent column-based, enterprise relational database solution with good speed and compression". On the other hand, the top reviewer of Vertica writes "Its speed differentiates it from other columnars, and works on commodity hardware". SAP IQ is most compared with SAP Adaptive Server Enterprise, Apache Hadoop and SAP HANA, whereas Vertica is most compared with Snowflake, Apache Hadoop and Amazon Redshift.
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SAP IQ Logo
3,916 views|2,790 comparisons
Vertica Logo
15,711 views|8,869 comparisons
Most Helpful Review
Find out what your peers are saying about Microsoft, Oracle, Teradata and others in Relational Databases. Updated: November 2019.
383,444 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
Unbeatable speed and compression with a colummn-structured relational database.

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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
The organization who owns the product does not support it well and appears not to be doing significant development for the future.

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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
The only costs after standard licensing fees are for add-ons and upgrades.

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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
8th
Views
3,916
Comparisons
2,790
Reviews
1
Average Words per Review
1,235
Avg. Rating
8.0
3rd
out of 30 in Data Warehouse
Views
15,711
Comparisons
8,869
Reviews
10
Average Words per Review
285
Avg. Rating
8.5
Top Comparisons
Compared 21% of the time.
Compared 17% of the time.
Compared 14% of the time.
Compared 13% of the time.
Compared 13% of the time.
Also Known As
Sybase IQMicro Focus Vertica, HPE Vertica, HPE Vertica on Demand
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SAP
Micro Focus
Overview

SAPĀ® IQ software delivers speed and power for extreme-scale enterprise data warehousing and analytics. Its column-oriented, grid-based massively parallel processing (MPP) architecture and patented data compression and indexing technologies enable companies to exploit the value of huge amounts of data at the speed of business.

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 IQ
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Sample Customers
ASR Group, Citrix, State of Indiana, PocketCard Co. Ltd.Cerner, Game Show Network Game, Guess by Marciano, Supercell, Etsy, Nascar, Empirix, adMarketplace, and Cardlytics.
Top Industries
REVIEWERS
Financial Services Firm67%
Marketing Services Firm11%
Insurance Company11%
Healthcare Company11%
REVIEWERS
Software R&D Company21%
Media Company21%
Marketing Services Firm17%
Comms Service Provider14%
VISITORS READING REVIEWS
Software R&D Company29%
Comms Service Provider21%
Financial Services Firm8%
Retailer5%
Find out what your peers are saying about Microsoft, Oracle, Teradata and others in Relational Databases. Updated: November 2019.
383,444 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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