Vertica Reviews

It's used by couple of departments. I work in the entertainment industry, so it is used to deal with the rendering data. It is also used for big data analysis.

Vertica forms the analytics database that takes in realtime streaming data (from Apache Kafka) and is used to provide customer insights in near real-time. It is used for the consumer-facing web portal and mobile applications.

Vertica is our data warehouse. We use it for analysis of our internal business as well as the marketing results of our clients. Due to the size of our data, without Vertica analysis at this level would not be possible.

Vertica is used by uber for data analytics use cases. We have a vertica based data mart (subset of business data) for analytics insight and data science across the entire organization. We use it as a complementary solution to Hadoop. We initially started our with Vertica which worked for our needs, but over the last couple of years have started leveraging Hadoop in addition to vertica to help our data efforts with high scale.

Vertica is our main data warehouse. Is used as a source for most of our analytic reports as well as for all data analysis activities. We also use it in a non-traditional fashion, more like a data processing engine for solving problems at scale (matching, statistics, correlate sources, etc.). It runs in AWS with data loaded/unloaded from/to S3.

We use Vertica as an analytics database for reporting, ad-hoc queries, regular reporting and more in-depth analyses. It is primarily used for querying by the analytics org and indirectly, through Looker, by the entire company. Vertica is most helpful because of its speed. Ad-hoc queries and analyses can be completed relatively quickly.