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IBM Db2 Warehouse on Cloud vs OpenText Analytics Database (Vertica) comparison

 

Comparison Buyer's Guide

Executive SummaryUpdated on Mar 29, 2026

Review summaries and opinions

We asked business professionals to review the solutions they use. Here are some excerpts of what they said:
 

Categories and Ranking

IBM Db2 Warehouse on Cloud
Ranking in Cloud Data Warehouse
16th
Average Rating
7.6
Reviews Sentiment
6.3
Number of Reviews
7
Ranking in other categories
No ranking in other categories
OpenText Analytics Database...
Ranking in Cloud Data Warehouse
11th
Average Rating
8.2
Reviews Sentiment
6.9
Number of Reviews
90
Ranking in other categories
Data Warehouse (5th)
 

Mindshare comparison

As of August 2026, in the Cloud Data Warehouse category, the mindshare of IBM Db2 Warehouse on Cloud is 2.0%, up from 0.7% compared to the previous year. The mindshare of OpenText Analytics Database (Vertica) is 5.0%, down from 6.2% compared to the previous year. It is calculated based on PeerSpot user engagement data.
Cloud Data Warehouse Mindshare Distribution
ProductMindshare (%)
OpenText Analytics Database (Vertica)5.0%
IBM Db2 Warehouse on Cloud2.0%
Other93.0%
Cloud Data Warehouse
 

Featured Reviews

FM
Database Engineer at Meezan Bank
Enhancing analytics with seamless data dumping and reliable support
Our primary use case is data storage and analytics The organization has decided to purchase a full stack solution from IBM due to positive responses, which helped them upgrade from the previous version. The data dumping into the raw zone and the feature of BigQuery is quite attractive. There…
JN
consultant at tcs
Data warehousing has transformed reporting performance and now delivers near real-time insights
OpenText Analytics Database (Vertica) is a very powerful analytic database, but like any platform, there are areas where it can improve to make daily work even smoother. Better cloud-native experience is one area for improvement. OpenText Analytics Database (Vertica) was originally designed as an on-premises analytic database and later moved to cloud. Improvement opportunities include more seamless cloud-native features such as auto-scaling, serverless options, and easier cluster management. Competitors such as Snowflake and BigQuery provide more fully managed experiences. Easier UI is another area for improvement. Most administration is currently done by SQL and command line tools. An improvement opportunity would be a more modern web UI for monitoring, workload management, and troubleshooting. Faster ecosystem and community growth is needed. In short, OpenText Analytics Database (Vertica) could improve in areas such as cloud-native capability, modern UI for administration, stronger real-time streaming integration, and growing its ecosystem and community. These enhancements would make it easier to manage and adopt compared to newer cloud-first analytic platforms. From a day-to-day operational perspective, there are a few areas where OpenText Analytics Database (Vertica) could improve to make our work smoother. Smarter automatic projection management is needed with more intelligence, auto projection creation, automatic optimization, and reduced manual testing with better workload management. Right now, monitoring queries often requires system tables and manual analysis. Troubleshooting slow queries takes time. A modern real-time dashboard showing query bottlenecks and resource users would enable quick detection. The impact could be faster issue resolution and less time spent debugging performance. Storage native interaction with modern data tools is also important. In short, from a day-to-day perspective, improvements in automatic projection optimization, better workload monitoring dashboard, easier schema evolution, and stronger modern tool integration would significantly reduce manual tuning effort and improve developer productivity. While OpenText Analytics Database (Vertica) is very powerful, these enhancements would make it more efficient for the analytics team.

Quotes from Members

We asked business professionals to review the solutions they use. Here are some excerpts of what they said:
 

Pros

"DashDB is a good product to work with and the extra cost you spend on performance, technical support and tools to work with is worth it."
"I like that the dashDB solution is built on DB2 technology, which means that you can use all the features of a DB2 database while outsourcing all the hardware and software maintenance."
"It will be MPP, so performance should improve."
"The way that it scales will help a lot of customers that are stuck with Netezza boxes that can't grow any larger.​"
"The performance is okay as long as the volume of queries is not too high."
"Ease of migration from Netezza DB; IBM ported over all Netezza's functionality and made the warehouse DB/dashDB the best of breed of the two."
"One of the most amazing features of dashDB is how it uses compression to get results in lighting speed."
"It is stable when there is support from IBM."
"Vertica has a few features that I like. From an architecture standpoint, they have separated compute and storage. So you have low-cost object storage for primary storage and the ability to have several sub-clusters working off the same ObjectStore. So it provides workload isolation."
"The most valuable feature of Vertica is the unmatchable database performance at a fraction of cost compared to other similar databases."
"Allows us to take volumes and process them at a very high speed."
"The solution is quick, has good compression data, and is not expensive."
"We could run group by queries thousand of times faster, we are able to test more models and improve accuracy."
"We are able to integrate our Vertica data warehouse with Tableau to create numerous reports quickly and efficiently."
"I found the columnar storage, which increases performance of sequential record access, to be the most valuable feature."
"It maximizes cloud economics with Eon Mode by scaling cluster size to meet variable workload demands."
 

Cons

"With dashDB, scalability and uptime need more improvement."
"Ultimately, the product itself has challenges and we are not currently satisfied with the support, either."
"I would rate the level of dashDB support 3.5/5. While they are very knowledgeable in many areas, you can still struggle to get the correct resolution."
"There are some limitations in adding data files to table spaces, and improvements are needed for regional support."
"Containers get corrupted very easily. Restoring them using GPFS can result in a lot of issues."
"I would like to see improvements in backup and authentication. It needs the ability to increase the number of retained backups to more than 2 days."
"Right now, we are implementing on ESX VMware 6.0. Support for this platform is poor. Also, one of the backup/recovery options is broken and IBM is not addressing the issue."
"The support channels need to improve."
"Fact-to-fact joins on multi-billion record tables perform poorly."
"Some GUI tools out of the box, better Python integration. I would love to see some nice query engine, tooled specifically to Vertica extensions of SQL (with IntelliSense)."
"I believe the installation process could be streamlined."
"Vertica's native cloud support could be improved, and its installation could be made easier."
"Vertica’s resource demands for RAM and I/O during load and storage were challenging for our platform."
"There are a lot of limitations within this product and it makes things extremely hard for developers. It lacks Stored Procedure, packages, and triggers like other RDBMs."
"Very bad support, I would rate it two out of 10."
"Ability to use analytic functions in where clauses, being able to use aliases in the where and order by clauses will make query writing/reading a lot easier."
 

Pricing and Cost Advice

"If your going to go with warehouse DB/dashDB, use the cloud or Sailfish version."
"The pricing and licensing depend on the size of your environment and the zone where you want to implement."
"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."
"The solution is relatively cost-effective."
"Vertica is an expensive tool."
"It's difficult today to compete with open-source solutions. In these areas, there is a lot of competition and the price of this solution is a bit pricy."
"Work with a vendor, if possible, and take advantage of more aggressive discounts at mid-fiscal year (April) and fiscal year-end (October).​"
"The solution is free and we pay for the storage."
"The price of Vertica is less expensive than some competitors, such as Teradata."
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Top Industries

By visitors reading reviews
Financial Services Firm
18%
Construction Company
11%
Comms Service Provider
8%
Educational Organization
7%
Financial Services Firm
16%
Outsourcing Company
9%
Computer Software Company
8%
Manufacturing Company
8%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
By reviewers
Company SizeCount
Small Business4
Large Enterprise3
By reviewers
Company SizeCount
Small Business29
Midsize Enterprise23
Large Enterprise43
 

Questions from the Community

What advice do you have for others considering IBM Db2 Warehouse on Cloud?
Organizations of all sizes, especially those who are in need of powerful and elastic cloud data warehouse solutions that can help administrators maximize the efficiency of their data-based operatio...
What needs improvement with IBM Db2 Warehouse on Cloud?
There are some limitations in adding data files to table spaces, and improvements are needed for regional support.
What is your primary use case for IBM Db2 Warehouse on Cloud?
Our primary use case is data storage and analytics.
What is your experience regarding pricing and costs for Vertica?
My experience with pricing, setup cost, and licensing is limited because the organization handled the licensing and pricing as well as the cost setup.
What needs improvement with Vertica?
OpenText Analytics Database (Vertica) is already doing great. There could be a community which could have been much more advanced and more people can be engaged so that any kind of questions, queri...
What is your primary use case for Vertica?
The main use case for OpenText Analytics Database (Vertica) is that we have the Hive and a Hadoop layer for data availability, and Vertica serves as a big data solution. Within a Hive table, OpenTe...
 

Also Known As

IBM dashDB
Micro Focus Vertica, HPE Vertica, HPE Vertica on Demand
 

Overview

 

Sample Customers

Copenhagen Business School, BPM Northwest, GameStop
Cerner, Game Show Network Game, Guess by Marciano, Supercell, Etsy, Nascar, Empirix, adMarketplace, and Cardlytics.
Find out what your peers are saying about IBM Db2 Warehouse on Cloud vs. OpenText Analytics Database (Vertica) and other solutions. Updated: August 2026.
908,834 professionals have used our research since 2012.