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SAP IQ vs Vertica comparison

 

Comparison Buyer's Guide

Executive Summary
 

Categories and Ranking

SAP IQ
Ranking in Data Warehouse
16th
Average Rating
8.0
Number of Reviews
21
Ranking in other categories
Relational Databases Tools (24th)
Vertica
Ranking in Data Warehouse
4th
Average Rating
8.2
Reviews Sentiment
7.6
Number of Reviews
86
Ranking in other categories
Cloud Data Warehouse (7th)
 

Mindshare comparison

As of November 2024, in the Data Warehouse category, the mindshare of SAP IQ is 2.3%, up from 1.3% compared to the previous year. The mindshare of Vertica is 9.3%, up from 9.1% compared to the previous year. It is calculated based on PeerSpot user engagement data.
Data Warehouse
 

Featured Reviews

Tejas Raj - PeerSpot reviewer
Columnar database, so pulling records is easy but there isn't enough documentation for installation
I've seen very few SAP IQ systems in recent years. So people are moving away from SAP IQ In the last three years, I've rarely encountered customers using it. Fewer systems with SAP IQ usage among our customers. Most of them have moved on to HANA. There are parallel products, and there are also viable alternatives from AWS, so many have migrated to those.
T Venkatesh - PeerSpot reviewer
Processes query faster through multiple systems simultaneously, but it could support different data types
We use the solution for various tasks, including preparing data marts and generating offers. It helps extract data based on rules from the policy team and provides insights to enhance business operations. We also analyze transactions to target customers and improve business performance The…

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."
"The initial setup is easy."
"All data is compressed and indexed, allowing for fast execution of transactions."
"The column-based technologies (basically all the database for ITP) are used for SAP IQ. It is used as a column-based solution."
"Valuable features for us include the compression, speed, fast response time, and easy object maintenance."
"Columnar storage allows high compression, high load rates and high query performance."
"It is very robust for ad hoc DW queries and its columnar compression is unique and valuable."
"The product is easy to learn."
"Vertica is easy to use and provides really high performance, stability, and scalability."
"Speed and resiliency are probably the best parts of this product."
"Its projections and encoding are excellent tools for tuning large volumes."
"Vertica enabled us to close large deals. Customers with large data sets had to be migrated from PostgreSQL to Vertica due to performance."
"I have found the solution to be scalable."
"It's the fastest database I have ever tested. That's the most important feature of Vertica."
"The extensibility and efficiency provided by their C++ SDK."
"DBAs don’t need to add a partition every month/quarter like with other DBs."
 

Cons

"Multiplex is very problematic. There are consistency problems in the metadata, meaning it is possible to lose metadata consistency. You should make sure you have healthy backups."
"The only negative aspect of IQ is the cost, which can be challenging for companies in Peru."
"The primary negative aspect is the cost, which can be a challenge due to the economic conditions in Peru."
"I think the universe should be part of the Sybase IQ tool set."
"Concurrency and functional error messaging."
"The solution works best when combined with other SAP solutions. If the environment has other systems other options might be better."
"There is very little documentation available."
"The room for improvement would be the marketing of the product, because this product is much better than advertised."
"We faced some challenges when trying to use the temporary tables feature."
"Very bad support, I would rate it two out of 10."
"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."
"The integration with AI has room for improvement."
"Performance of management of metadata layer (database catalog) needs improvement. We still have to have smaller customers on PostgreSQL; Vertica cannot manage thousands of schemata."
"The documentation of Vertica is an area with shortcomings where improvements are required."
"Vertica seems to scale well, except for one use case where you are on a multi-node cluster. For example, if you had a nine-node cluster, one node goes down, then the eight nodes don't scale, because the absence of the node is very apparent, which is a problem. If you have nine nodes or multiple nodes, the whole idea is that if one of those nodes goes down, then you should not see an impact on the system if you have enough capacity. Even though we have enough capacity, you can still see the impact of the one node going down."
"Vertica can improve automation and documentation. Additionally, the solution can be simplified."
 

Pricing and Cost Advice

"The only costs after standard licensing fees are for add-ons and upgrades."
"Negotiate based on the features required."
"It's not that costly. So, the pricing is cheap."
"Negotiation is very important."
"The cost of implementation is about $3,000."
"Evaluate all options; check to see if you need expensive add-ons."
"It is fast to purchase through the AWS Marketplace."
"The solution is relatively cost-effective."
"The price is reasonable. We use a pay per license model. Firstly, you need to buy a license. After that, you mainly pay the annual support fee of around 20% or 25%. I think their prices are quite reasonable."
"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."
"Vertica has a perpetual license, but they are currently trying to convert all those licenses to subscription-based licenses on a yearly basis."
"I am aware that we have licensed it, but I have no knowledge of its cost."
"The pricing and licensing depend on the size of your environment and the zone where you want to implement."
"From a cost perspective, the software is less than most of its competitors."
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Top Industries

By visitors reading reviews
Financial Services Firm
43%
Computer Software Company
9%
Manufacturing Company
8%
Government
5%
Computer Software Company
18%
Financial Services Firm
18%
Manufacturing Company
8%
University
5%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
 

Questions from the Community

What do you like most about SAP IQ?
The primary benefit of SAP IQ is its ability to limit the expansion of the costly SAP HANA database, which has limited storage capacity. This necessitates a form of data management that involves mo...
What is your experience regarding pricing and costs for SAP IQ?
The cost of implementation is about $3,000. However, the cost is not much compared to the performance benefits.
What needs improvement with SAP IQ?
The only negative aspect of IQ is the cost, which can be challenging for companies in Peru.
What do you like most about Vertica?
Vertica is easy to use and provides really high performance, stability, and scalability.
What is your experience regarding pricing and costs for Vertica?
The solution is relatively cost-effective. Pricing and licensing are reasonable compared to other solutions.
What needs improvement with Vertica?
The product could improve by adding support for a wider variety of data types and enhancing features to better compete with other databases.
 

Comparisons

 

Also Known As

Sybase IQ
Micro Focus Vertica, HPE Vertica, HPE Vertica on Demand
 

Learn More

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Overview

 

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.
Find out what your peers are saying about SAP IQ vs. Vertica and other solutions. Updated: November 2024.
816,636 professionals have used our research since 2012.