Vertica Analytics Platform Version 10.1.x Documentation
Welcome to the Vertica 10.1.x Documentation
Frequently Asked Questions
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.
Go to https://www.vertica.com/try.
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.
For information about Vertica technology partners, see https://www.vertica.com/partners/filter/technology-partners/.
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/.
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.
Micro Focus or one of its affiliates
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Web site: http://www.vertica.com
Published on 02 September 2021 at 1:29 AM.
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