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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
24th
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 (12th)
 

Mindshare comparison

As of November 2026, in the Data Warehouse category, the mindshare of Actian ParAccel is 2.1%, up from 1.1% compared to the previous year. The mindshare of OpenText Analytics Database (Vertica) is 6.5%, up from 6.3% compared to the previous year. It is calculated based on PeerSpot user engagement data.
Data Warehouse Mindshare Distribution
ProductMindshare (%)
OpenText Analytics Database (Vertica)6.5%
Actian ParAccel2.1%
Other91.4%
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."
"HP Vertica is an outstanding backend for Big Data-scale interactive dashboards/BI."
"The initial setup was straightforward."
"Vertica enabled us to close large deals. Customers with large data sets had to be migrated from PostgreSQL to Vertica due to performance."
"The solution has great capabilities. The tool that instructs the internal database forward is easy to use and is very powerful."
"In other databases, information will return in hours or even days while in Vertica it will be finished in minutes or even seconds."
"We are trying to data mine customer event data, and having the ability to invoke analytic functions without having to write self-join SQL statements is just brilliant."
"The implementation itself is excellent with fantastic features, speed and scalability."
"We can also load massive amounts of data in seconds and query it with SLA for online dashboards."
 

Cons

"The stability needs work."
"<p>OpenText Analytics Database (Vertica) does not support hard delete, and they perform soft delete, which is the case with all columnar databases.</p>"
"Their support is really bad. Maybe Micro Focus has changed but they were not good before."
"Documentation has become much better, but can always use some improvement."
"We can’t use Vertica as a transactional database because it is unable to handle lot of transactions."
"Vertica’s resource demands for RAM and I/O during load and storage were challenging for our platform."
"The product could be less expensive and could benefit from a better marketing strategy."
"I believe the installation process could be streamlined."
"They could improve the integration and some of the features in the cloud version."
 

Pricing and Cost Advice

Information not available
"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 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."
"From a cost perspective, the software is less than most of its competitors."
"It's free up to three nodes and 1TB, and then get in contact with their sales guys."
"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."
"It is fast to purchase through the AWS Marketplace."
"The price could be cheaper and it is best to negotiate the price."
"Vertica has a perpetual license, but they are currently trying to convert all those licenses to subscription-based licenses on a yearly basis."
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Top Industries

By visitors reading reviews
No data available
Financial Services Firm
16%
Outsourcing Company
13%
Manufacturing Company
10%
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

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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.
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