Vertica Reviews

It has a very good design with high query performance. It provides the scale out capability by adding additional servers instead of scaling up the servers.

It has provided much better performance than SQL Server for big data analytics.

I would like to see integration with the latest Hadoop ecosystem.

We have used this solution for three years.

It is usually very stable, but we occasionally see some nodes going down.

There have not been any scalability issues. We are able to support trillions of data elements by adding more servers.

The technical support is pretty good. I would give it a rating of 9/10.

We used to use MS SQL Server. It is good for data transactions, but it is not good for big data analytics.

It is pretty expensive, but it is worth it if you need the production capability that it can support.

We evaluated SQL Server and Teradata.

It is worth a try if you are looking to provide a high-performance, big data analytics database.

Replication

Replication and Node recovery in 8.0.

vbr.py needs to be improve to support diff no of nodes source to target.

5 years

No

Yes

No

8

8/10

Bulk loading data using copy

Fast analytical functions

Ability to extend functionality

Great reporting.

Faster deletes!

4 years

None

Sometimes users write bad queries that has brought down the cluster. Need a way to better manage resources.

None

Great

Great

No

In house implementation.

Manage big data fast and easy.

The time that the mediation process takes and historical information that I can store.

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".

Excellent!

Excellent!

Yes, Netezza and SAP HANA.

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.

Group by performance

Analytic functions

We could run group by queries thousand of times faster, we are able to test more models and improve accuracy.

Debug custom functions in r.

One year

None

None

None

Great! Email response is quickly and also within reported issues are resolved.

Ggreat, they really understand what they are talking about.

Straightforward, very easy.

In house

Our primary use case for this solution is data analytics.

The hardware usage and speed has been the most valuable feature of this solution. It is very fast and has saved us a lot of money.

The integration of this solution with ODI could be improved. 

I have used this solution for 1 year.

This is a stable solution with a fast compression system.

This is a scalable solution. 

The technical support for this solution is really good. The support team are friendly and provide assistance quickly. 

Positive

The initial setup is straightforward. 

The pricing for this solution is very reasonable compared to other vendors.

I would rate this solution a ten out of ten. 

We are using Vertica in our warehouse.

I have found that coding support could be simplified.

I have been using this solution for approximately five years.

The solution is stable.

I have found the solution to be scalable.

I have used the local support and I prefer them.

The price could be cheaper and it is best to negotiate the price.

I rate Vertica an eight out of ten.