No more typing reviews! Try our Samantha, our new voice AI agent.

Actian ParAccel 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

Actian ParAccel
Ranking in Data Warehouse
26th
Average Rating
7.0
Reviews Sentiment
6.6
Number of Reviews
1
Ranking in other categories
No ranking in other categories
OpenText Analytics Database...
Ranking in Data Warehouse
5th
Average Rating
8.2
Reviews Sentiment
6.9
Number of Reviews
90
Ranking in other categories
Cloud Data Warehouse (11th)
 

Mindshare comparison

As of May 2026, in the Data Warehouse category, the mindshare of Actian ParAccel is 1.7%, up from 0.2% compared to the previous year. The mindshare of OpenText Analytics Database (Vertica) is 5.7%, down from 8.4% compared to the previous year. It is calculated based on PeerSpot user engagement data.
Data Warehouse Mindshare Distribution
ProductMindshare (%)
OpenText Analytics Database (Vertica)5.7%
Actian ParAccel1.7%
Other92.6%
Data Warehouse
 

Featured Reviews

it_user263409 - PeerSpot reviewer
Business Intelligence Consultant at a computer software company with 501-1,000 employees
​The stability needs work and the leader node should be removed, but we can deliver results faster.
The speed of the application It has delivered results to our customers faster than we were able to previously. The stability needs work. I've used it for two years. It wasn't stable. There are issues. No issues yet. Customer Service: It's good. Technical Support: It's good. SQL Server…
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

"It has delivered results to our customers faster than we were able to previously."
"It is enterprise ready and a hugely cheaper option than some, and in like-for-like comparisons between HP Vertica and Oracle Exadata (workload and timings), Vertica was faster than Oracle in all but the biggest and most complex of queries."
"Partition and join back to node are easy and simple for DBAs."
"The most valuable feature is Vertica's performance and the ease of using the database."
"Allows us to take volumes and process them at a very high speed."
"OpenText Analytics Database (Vertica) has improved our reporting performance by nearly 90 percent, reduced ETL processing time by more than half, and saved around 70 percent in storage through compression."
"The biggest, most valuable feature for us is the clustering aspect with a share-nothing mentality."
"Vertica is superior to other solutions in query performance."
"The data warehouse has exceedingly high performance and has the ability to do large scale queries very effectively."
 

Cons

"The stability needs work."
"In my opinion, Vertica's documentation could be improved. Currently, there is not enough documentation available to gain a comprehensive understanding of the platform."
"The biggest problem is the cost of cloud deployment."
"I'm concerned that HP Enterprise has sold their software business, and worry about future investment to enhance predictive/machine-learning capabilities."
"I have found that coding support could be simplified."
"Vertica can improve automation and documentation. Additionally, the solution can be simplified."
"More frequent updates."
"If you do not utilize the tuning tools like projections, encoding, partitions, and statistics, then performance and scalability will suffer."
"It is usually very stable, but we occasionally see some nodes going down."
 

Pricing and Cost Advice

Information not available
"It's an expensive product"
"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."
"The price of Vertica is less expensive than some competitors, such as Teradata."
"The pricing depends on the license model because there are several. It depends on the client, but it's cheaper than other solutions. I think it's cheap for all the functionality and robustness. It's not very expensive to deploy."
"The pricing could improve, it is a little expensive."
"From a cost perspective, the software is less than most of its competitors."
"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."
"It's free up to three nodes and 1TB, and then get in contact with their sales guys."
report
Use our free recommendation engine to learn which Data Warehouse solutions are best for your needs.
893,221 professionals have used our research since 2012.
 

Top Industries

By visitors reading reviews
No data available
Financial Services Firm
18%
Computer Software Company
12%
Manufacturing Company
8%
Comms Service Provider
7%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
No data available
By reviewers
Company SizeCount
Small Business29
Midsize Enterprise23
Large Enterprise43
 

Questions from the Community

Ask a question
Earn 20 points
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?
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...
 

Also Known As

ParAccel
Micro Focus Vertica, HPE Vertica, HPE Vertica on Demand
 

Overview

 

Sample Customers

Amazon, The Royal Bank of Scotland, OfficeMax, MicroStrategy
Cerner, Game Show Network Game, Guess by Marciano, Supercell, Etsy, Nascar, Empirix, adMarketplace, and Cardlytics.
Find out what your peers are saying about Snowflake Computing, Oracle, Teradata and others in Data Warehouse. Updated: May 2026.
893,221 professionals have used our research since 2012.