In my company, we use Vertica as it's a tool meant to serve as database performance software and to make some selections, including some usual activities on a database revolving around options like select, insert, update, delete, and a few more.

We use the solution in our data warehouse.

We are very happy to have a good warehouse solution that we can run on-premises. Next year we will start testing it on the cloud so we can progress to a hybrid solution. We would like to have Vertica in the cloud integrating with our data lake. We could go with another cloud solution but Vertica has been a good solution for us so far and we hope the cloud product is as good and flexible.  

On-premises, Vertica would still be used as our data warehouse solution. That would keep us where we know that the cost for the hardware is relatively reasonable where we have customers running large number of reports. At the moment we have customers running many thousands of reports a day and having Vertica gives us real-time insight into our data. The ROI with Vertica on premises has been sunstantial. 

In this particular use case, our company is in the media industry and we rely exclusively on Vertica for our analytical and operational reporting requirements.

We are using Vertica for our data warehouse. We run all the ETL and then store the information for the reports which are given to the business team for use for analytical purposes.

Vertica is our sole data warehouse solution. It is our single point of access to all data loaded from disparate data sources across the organization, and is the single point of truth for all business rules encapsulated in our fact and dimension tables. All of our reporting to all business departments originates from Vertica.  We are also using Vertica's inherent analytic functions, most notably geospatial, and are automating much of our analytics team's R libraries and functions into Vertica for faster processing.

We are using Vertica for dashboards, storing, retrieving, and processing data.

We hold financed data on the Vertica database, and clients use the data for reporting and other purposes.

We push both raw and modeled data into a Vertica cluster. It is used mainly for internal analysis and Tableau reports by data scientists and analysts.

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

I am using Vertica for aggregations and dashboards.

Our use case is a typical data warehouse. We just use the data warehouse for reporting and the storage of data. Our users are the staff team who do the reporting and data analysis.

This solution is used as part of our data warehouse solution. We have some customer indexing content in this Vertica product. Vertica is a relational database that is used as part of our data warehouse implementation.

We are resellers and we provide products for our customers.

Our clients are using this solution in two ways; one is for a data warehouse, and the second is for analytics in the database.

When I have a business need for a few pieces of information, and I need to process it quickly, that's when I use Vertica.

The primary use case is machine learning and currently, I am working on IOT projects.

I use Vertica for traditional data warehouse reporting and some advanced analytics as well as real-time data processing or real-time analytics. I sell Vertica, so my clients' use cases vary. There are several types of users, and each company is going to have different requirements. And the number of users is not necessarily a great measure of usage if you're doing clickstream-type data on a website with massive numbers of queries coming in very quickly. But in other cases, you have people hammering it for reporting and various kinds of business use cases.

The solution is a BI solution that includes machine learning. Our company is involved in the distribution of water and we use it to capturing data for several points and to discover where there might have been a loss of drinkable water. 

There is a problem with the water distribution because the company that I'm working for has an index of 32% of water loss during the process of the distribution. These losses can be from a different source. It can be from leakage, it can be an error or on the meter read which can have many issues, sometimes the problem occurs in different hours depending on the pressure of the water network.  We need to use artificial intelligence to collect millions of the data points to detect where the problem might be coming from.

We use this solution as our data warehouse. It handles our analytics and we have power users connected.

Our primary use case for this solution is data analytics.

We are using Vertica in our warehouse.

I'm a Vertica specialist, and I'm certified by Micro Focus. The solution is deployed on-premise, but we have another installation on the cloud for another client.

It has performed well for the analytical and data warehousing performance. It has enabled scalability and has added value to the business.

The primary use case is as an analytics database on EC2 instances.

The primary use of Vertica is as a data warehouse to perform aggregate and summary reports.

We use the product for compressed data store, fast reporting, and self healing analytical data workloads. It also helps with big data ingestions, processing, and reporting.