Vertica Room for Improvement

Sean O'Riordan
Senior Database Architect at a real estate/law firm with 501-1,000 employees
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 View full review »
JelsonGhigonetto
Creator and Manager of Intelligent Water Loss Management Models at Qintess
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. View full review »
Mike Walker
Director - Big Data, IoT and Analytics at Benchmark Corp
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. View full review »
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Teddy Elias
Senior Manager, Systems and Network Engineering at a computer software company with 11-50 employees
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. View full review »
Alberto Guisande
Director at Decision Science
* 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. View full review »
Ben Santos
Sr. Business Intelligence Analyst / Developer at DXC
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. View full review »
Vironica Vironica
Assistant Manager at M1 NET
When it is about to reach the maximum storage capacity, it becomes slow. View full review »
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