Vertica Documentation

Getting Started?

Check out Getting Started for an introduction to Vertica.

Already Familiar with Vertica?

See what's new in Vertica database. Review the New Features.

Frequently Asked Questions

What is a column-store database?

Vertica stores data in a column format so it can be queried for best performance. Compared to row-based storage, column storage reduces disk I/O, making it ideal for read-intensive workloads. Vertica reads only the columns needed to answer the query.

How can I try Vertica Analytics Platform for free?

Go to https://www.vertica.com/try.

What is the difference between Enterprise Mode and Eon Mode?

You can operate your Vertica database in Eon Mode instead of in Enterprise Mode. In Enterprise Mode, the original Vertica "share nothing" configuration, each database node stores a portion of the data and performs a portion of the computation. In Eon Mode, computational processes are separated from a communal (shared) storage layer, which enables rapid scaling of computational resources as demand changes.

What third-party tools can I use to connect to Vertica?

For information about Vertica technology partners, see https://www.vertica.com/partners/filter/technology-partners/.

Can I embed Vertica analytics in my application?

Vertica is specifically designed for analytic workloads. Vertica's has speed and performance, advanced analytics, ease of deployment, and support for data scientists make it tailor-made for embedding. For more information, see https://www.vertica.com/solution/embedded-analytics/.

Does Vertica provide machine learning tools for analyzing data?

Vertica provides a number of machine learning functions that perform in-database analysis. These functions perform data preparation and predictive tasks. Vertica also supports importing, exporting, and predicting with PMML and TensorFlow models.