Primary use case is advanced analytics over huge amounts of data. Vertica provides high speed access to high volumes.

Vertica by the Hour, Red Hat
OpenText | 25.1.0-0Linux/Unix, Red Hat Enterprise Linux 9 - 64-bit Amazon Machine Image (AMI)
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Allows us to take volumes and process them at a very high speed
What is our primary use case?
How has it helped my organization?
Previous to Vertica, some analysis could not be made because of the amount of data needed. Vertica allowed us to take those volumes and process them at a very high speed.
What is most valuable?
Vertica's most outstanding features are the compression rates achieved and the speed of access of high volume data.
What needs improvement?
- Support is an area where it could get better.
- Promotion/marketing must be improved, even though it is a very useful product at very good price, it is not as "popular" as it should be.
For how long have I used the solution?
One to three years.
What do I think about the stability of the solution?
Just some issues with clustering, but they were not Vertica's issues.
What do I think about the scalability of the solution?
None.
How are customer service and support?
It could be improved.
How would you rate customer service and support?
Positive
Which solution did I use previously and why did I switch?
I used Hadoop as the first approach. However, Vertica provided the best of both worlds (huge amounts of data and speed of access for analytics).
How was the initial setup?
Once you got your cluster setup and nodes properly working, it is very simple to set up Vertica.
What about the implementation team?
We did the implementation ourselves.
What was our ROI?
Huge. We are doing analytics that previously we could not.
Which other solutions did I evaluate?
We evaluated Exasol, but it came out to be too expensive for the use case.
What other advice do I have?
Do a good volumetric analysis to manage the storage needed.
Which deployment model are you using for this solution?
If public cloud, private cloud, or hybrid cloud, which cloud provider do you use?
Great product
Incredible
Few were easy to install and use, but were not reliable; others had good performance and stability but were definitely not use to deploy.
After 2-3 hours of deciding to try Vertica, I was running queries on it.
So what I like the best:
- Easy to deploy;
- Easy to Configure;
- Plenty of native tools to help the maintenance;
- Plenty of *clear* documentation to help you though;
- Fast - hands-down, the fastest for hardware I've worked with;
- Small - incredible compression rates to the data;
- Reliable/Stable fault-tolerant and - in my case - no data loss issues;
- No need for planning, analyzing or maintaining table indexes;
- Familiar way of loading data [PostgreSQL-like / COPY]
As we didn't have much time to try tens of different databases, Vertica showed handy when it comes to Install/Loading data.
Because Vertica looks from outside a lot like PostgreSQL, users tend to forget some of its specificities when writing SQL queries or doing some other maintenance tasks. So beware of subqueries, data types, row-inserts - prefer bulk inserts - table/column drops, etc.