Scalability, query speed.
DW Admin at a hospitality company with 1,001-5,000 employees
It is the foundation of our new Data Warehouse platform because of the scalability and query speed.
Pros and Cons
- "It is the foundation of our new Data Warehouse platform."
- "There have been some issues with deleting and updating data from tables."
What is most valuable?
How has it helped my organization?
It is the foundation of our new Data Warehouse platform.
What needs improvement?
Data velocity and manageability.
For how long have I used the solution?
The utilization/launching project has lasted for a bit more than a year now.
Buyer's Guide
OpenText Analytics Database (Vertica)
June 2026
Learn what your peers think about OpenText Analytics Database (Vertica). Get advice and tips from experienced pros sharing their opinions. Updated: June 2026.
900,747 professionals have used our research since 2012.
What was my experience with deployment of the solution?
There have been some issues with deleting and updating data from tables.
What do I think about the stability of the solution?
No
What do I think about the scalability of the solution?
No
How are customer service and support?
Customer Service:
I have not been in contact with their customer service.
Technical Support:I have not been in contact with their tech support.
Which solution did I use previously and why did I switch?
We used Oracle but it did not scale well enough
How was the initial setup?
It was straightforward.
What about the implementation team?
I was not involved with the implementation.
What was our ROI?
Don't know.
What's my experience with pricing, setup cost, and licensing?
The pricing is very flexible
Which other solutions did I evaluate?
There was a proof of concept for a number of technologies but I wasn't involved in those.
What other advice do I have?
It looks promising.
Disclosure: My company does not have a business relationship with this vendor other than being a customer.
Principal Data Architect (BI) at a media company with 1,001-5,000 employees
I like the fast analytical functions and ability to extend functionality.
Pros and Cons
- "Customer Service: Great Technical Support: Great"
- "Sometimes users write bad queries that has brought down the cluster."
What is most valuable?
Bulk loading data using copy
Fast analytical functions
Ability to extend functionality
How has it helped my organization?
Great reporting.
What needs improvement?
Faster deletes!
For how long have I used the solution?
4 years
What was my experience with deployment of the solution?
None
What do I think about the stability of the solution?
Sometimes users write bad queries that has brought down the cluster. Need a way to better manage resources.
What do I think about the scalability of the solution?
None
How are customer service and technical support?
Customer Service:
Great
Technical Support:Great
Which solution did I use previously and why did I switch?
No
What about the implementation team?
In house implementation.
Disclosure: My company does not have a business relationship with this vendor other than being a customer.
Buyer's Guide
OpenText Analytics Database (Vertica)
June 2026
Learn what your peers think about OpenText Analytics Database (Vertica). Get advice and tips from experienced pros sharing their opinions. Updated: June 2026.
900,747 professionals have used our research since 2012.
Senior Data Architect at a media company with 1,001-5,000 employees
Having the ability invoke analytic functions without having write self join SQL statements is beneficial.
Pros and Cons
- "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."
- "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."
Valuable Features:
Analytic functions.
Improvements to My Organization:
We are trying to data mine customer event data. Having the ability invoke analytic functions without having write self join SQL statements ... just brilliant.
Room for Improvement:
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.
Use of Solution:
2 years.
Disclosure: My company does not have a business relationship with this vendor other than being a customer.
Owner at a tech vendor
We switched from our previous solution because SQL Server did not scale.
Pros and Cons
- "Customer Service: Excellent Technical Support: Very good"
- "Profiling, query optimize, management."
What is most valuable?
Geospatial
What needs improvement?
Profiling, query optimize, management.
For how long have I used the solution?
1 year
What was my experience with deployment of the solution?
Some bugs, they were rapidly fixed.
What do I think about the stability of the solution?
Minute
What do I think about the scalability of the solution?
Not yet
How are customer service and technical support?
Customer Service:
Excellent
Technical Support:Very good
Which solution did I use previously and why did I switch?
SQL Server did not scale.
Disclosure: My company does not have a business relationship with this vendor other than being a customer.
Infrastructure, Data Center and PMO Coordinator at a comms service provider with 501-1,000 employees
We could use it to offer Analytics As A Service to our customers.
Pros and Cons
- "Customer Service: Excellent! Technical Support: Excellent!"
- "Yes, there is a functionality in Vertica "Broadcast" that high the process level of our Network Switch Core. I had a serious problem with this because I interrupted the network service in the company."
Valuable Features
Manage big data fast and easy.
Room for Improvement
The time that the mediation process takes and historical information that I can store.
Deployment Issues
Yes, there is a functionality in Vertica "Broadcast" that high the process level of our Network Switch Core. I had a serious problem with this because I interrupted the network service in the company. We have to change "Point to point".
Customer Service and Technical Support
Customer Service:
Excellent!
Technical Support:Excellent!
Other Solutions Considered
Other Advice
I would like HP to help me to do more uses cases with Vertica. We are very interested in becoming a Business Partner in order to offer Analytics As A Service to our customers.
Disclosure: My company does not have a business relationship with this vendor other than being a customer.
Data Scientist at a tech vendor with 201-500 employees
We were able to implement new algorithms without having to move data out of Vertica into a compute cluster.
Pros and Cons
- "We were able to implement new algorithms without having to move data out of Vertica into a compute cluster."
- "More Machine Learning algorithms--Random Forest for sure!"
Valuable Features
User Defined Extensions
Analytic Functions
Improvements to My Organization
We were able to implement new algorithms without having to move data out of Vertica into a compute cluster. This allowed us to offer Analytics for Cybersecurity to our customers.
Room for Improvement
More Machine Learning algorithms--Random Forest for sure!
Customer Service and Technical Support
Customer Service:
Very responsive
Technical Support:Excellent
Implementation Team
In-house
Disclosure: My company does not have a business relationship with this vendor other than being a customer.
Data Scientist at a tech services company with 501-1,000 employees
We're able to test more models and improve accuracy.
Pros and Cons
- "We could run group by queries thousand of times faster, we are able to test more models and improve accuracy."
Valuable Features
Group by performance
Analytic functions
Improvements to My Organization
We could run group by queries thousand of times faster, we are able to test more models and improve accuracy.
Room for Improvement
Debug custom functions in r.
Use of Solution
One year
Deployment Issues
None
Stability Issues
None
Scalability Issues
None
Customer Service and Technical Support
Customer Service:
Great! Email response is quickly and also within reported issues are resolved.
Technical Support:Ggreat, they really understand what they are talking about.
Initial Setup
Straightforward, very easy.
Implementation Team
In house
Disclosure: My company does not have a business relationship with this vendor other than being a customer.
Senior Database Administrator at a financial services firm with 51-200 employees
I like Recovery by table. I would like messages to Vertica startup commands improved.
Pros and Cons
- "After upgrading to latest version, VBR backup used to take more than one week to back up 70 TB of data and now it is taking about 48 hours."
- "Improve Vertica logging and messages to Vertica startup commands."
Valuable Features:
Recovery by table
Copy cluster
Improvements to My Organization:
VBR backup used to take more than one week to back up 70 TB of data. After upgrading to latest version, it is taking about 48 hours.
Room for Improvement:
Improve Vertica logging and messages to Vertica startup commands.
Use of Solution:
4 years
Disclosure: My company does not have a business relationship with this vendor other than being a customer.
Sr. Developer, Big Data at a comms service provider with 51-200 employees
The most valuable feature for me is the columnar data store.
Pros and Cons
- "Setup was very simple"
Valuable Features:
Columnar data store
Room for Improvement:
Add geospatial indexes (sounds like they have done it in version 8.0)
Deployment Issues:
No
Stability Issues:
No
Scalability Issues:
No
Customer Service:
Above average
Initial Setup:
Setup was very simple
Disclosure: My company has a business relationship with this vendor other than being a customer. We are partners with HPE
CIO at a tech vendor with 1,001-5,000 employees
Features valuable to me include: massive data ingestion performance and SQL standard query engine.
Pros and Cons
- "Massive data ingestion performance."
- "Machine learning implementations."
Valuable Features:
- Massive data ingestion performance
- Performance
- SQL standard query engine
Improvements to My Organization:
DWH core platform is based on it
Room for Improvement:
- Machine learning implementations
- Support for Cloud based environments like Google Compute Engine
Use of Solution:
3 years
Disclosure: My company does not have a business relationship with this vendor other than being a customer.
Buyer's Guide
Download our free OpenText Analytics Database (Vertica) Report and get advice and tips from experienced pros
sharing their opinions.
Updated: June 2026
Popular Comparisons
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Buyer's Guide
Download our free OpenText Analytics Database (Vertica) Report and get advice and tips from experienced pros
sharing their opinions.
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