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2018-01-23T19:20:00Z

What needs improvement with Vertica?

6

Please share with the community what you think needs improvement with Vertica.

What are its weaknesses? What would you like to see changed in a future version?

ITCS user
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1212 Answers

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Top 5LeaderboardReal User

They could improve the integration and some of the features in the cloud version.

2021-09-20T12:13:22Z
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Top 20Reseller

I have found that coding support could be simplified.

2021-06-05T22:45:18Z
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Top 20Real User

The product could be less expensive and could benefit from a better marketing strategy. In a future release, I would like to have one application to help create intelligent models.

2020-12-18T00:01:00Z
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Real User

We are looking for a cheaper deployment for the solution. Although we did a lot of benchmarks, like Redshift. We tried Redshift, it didn't work. It didn't work out for us as well.

2020-11-27T22:55:00Z
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Top 5Reseller

Some of our small to medium-sized customers would like to see containerization and flexibility from the deployment standpoint. They don't currently offer this as a platform as a service. Snowflake is offering this capability. They're available in the cloud. They're available on every cloud, but they're not available as a managed platform as a service offering.

2020-09-13T07:02:21Z
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Real User

Every product has room for improvement and Vertica is no different in that way. I think the geospatial is quick, but could be quicker. Continue adding machine learning code to run directly on the database. I also think the ability to perhaps directly link to other databases rather than just data sources and files would be another one. For new functionality, I think the possibility of adding triggers or programmatic pieces of code might be helpful, depending on the data coming in. It is difficult to say if it would work or cause more issues than it solves. W

2020-08-23T08:17:24Z
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Real User

When it is about to reach the maximum storage capacity, it becomes slow.

2020-03-03T14:27:00Z
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Real User

There is serious performance degradation for large datasets. Fact-to-fact joins on multi-billion record tables perform poorly. Star schema joins also perform poorly if the fact tables reach more than one billion records and the dimension tables reach more than one million records.

2019-07-09T13:52:00Z
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Consultant

It needs integration with multiple clouds.

2019-01-14T13:16:00Z
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Vendor

You need to know what you are doing to get the most out of Vertica. If you do not utilize the tuning tools like projections, encoding, partitions, and statistics, then performance and scalability will suffer. It would be great if this were a managed service in AWS.

2018-06-11T08:28:00Z
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Top 5LeaderboardReal User

* 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.

2018-03-08T15:52:00Z
author avatar
User

* It should provide a GUI interface for data management and tuning. * Monitoring tools need to be lightweight. They should not take up heavy resources of the main server.

2018-01-23T19:20:00Z
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