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Actian ParAccel vs OpenText Analytics Database (Vertica) comparison

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Comparison Buyer's Guide

Executive SummaryUpdated on Jun 3, 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
7th
Average Rating
8.2
Reviews Sentiment
6.9
Number of Reviews
90
Ranking in other categories
Cloud Data Warehouse (12th)
 

Mindshare comparison

As of September 2026, in the Data Warehouse category, the mindshare of Actian ParAccel is 1.8%, up from 0.9% compared to the previous year. The mindshare of OpenText Analytics Database (Vertica) is 5.6%, down from 6.8% compared to the previous year. It is calculated based on PeerSpot user engagement data.
Data Warehouse Mindshare Distribution
ProductMindshare (%)
OpenText Analytics Database (Vertica)5.6%
Actian ParAccel1.8%
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."
"Customer Service: Excellent Technical Support: Very good"
"Customer Service: Great Technical Support: Great"
"Great product, very mature and robust."
"The initial setup was straightforward."
"We gain insights into data in real-time with blazing, fast SQL analytics across exabytes of data."
"I have seen queries that take over 24 hours on MS SQL Server to complete, complete in less than 10 minutes on Vertica."
"I would name HPE Vertica as the most mature columnar database with a best of class data storage and query engine."
"The feature of the product that is most important is the speed. I needed a columnar database, and its speed is what it's built to do, and so that's what really does differentiate Vertica from its competitors."
 

Cons

"The stability needs work."
"The integration of this solution with ODI could be improved."
"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."
"Their support is really bad. Maybe Micro Focus has changed but they were not good before."
"The product could be less expensive and could benefit from a better marketing strategy."
"The explain plans are very difficult to read and understand; for one complex query the explain plan I printed out took in excess of 32 A4 pages and no visual tools were available that I could find."
"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)."
"Stability is good, however the database crashed once because a query ran against a large XML data element."
"When it is about to reach the maximum storage capacity, it becomes slow."
 

Pricing and Cost Advice

Information not available
"The pricing could improve, it is a little expensive."
"The solution is free and we pay for the storage."
"Work with a vendor, if possible, and take advantage of more aggressive discounts at mid-fiscal year (April) and fiscal year-end (October).​"
"Vertica has a perpetual license, but they are currently trying to convert all those licenses to subscription-based licenses on a yearly basis."
"It's free up to three nodes and 1TB, and then get in contact with their sales guys."
"The solution is relatively cost-effective."
"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 for this solution is very reasonable compared to other vendors."
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Top Industries

By visitors reading reviews
No data available
Financial Services Firm
15%
Outsourcing Company
14%
Comms Service Provider
8%
Computer Software Company
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

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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

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, Teradata, Oracle and others in Data Warehouse. Updated: September 2026.
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