70% reduction in the time it takes to load large amounts of data into the database.

70% reduction in the time it takes to load large amounts of data into the database.

Timeliness

90% reduction in the disk storage needed to store data.

90% reduction in the disk storage needed to store data.

Space efficiency

50 to 500 times faster queries and report execution.

50 to 500 times faster queries and report execution.

Speed

No system downtime or "batch windows".

No system downtime or "batch windows".

Uptime

Significant reduction in cost of ownership.

Significant reduction in cost of ownership.

Cost Efficiency

Accessing, capturing and analyzing data from mobile devices.

Accessing, capturing and analyzing data from mobile devices.

Mobile Compatibility

 

In customer benchmarks, Vertica has been shown to manage terabytes of data running on extraordinarily low-cost hardware and answers queries 50 to 200 times faster than competing row-oriented databases and specialized analytic hardware.

  1. Vertica organizes data on disk as columns of values from the same respective attributes, as opposed to storing it as rows of tabular records
  2. Vertica employs aggressive compression of data on disk as well as a query execution engine that is able to keep data compressed while it is operated on
  3. Because data is compressed so aggressively, Vertica has sufficient space to store multiple copies of the data to ensure fault tolerance and to improve concurrent and ad hoc query performance.