Vertica Virtualized Analytic Database
Appliance Type
Partner
Description
The Vertica Virtualized Analytic Database is the first high-performance analytic database to run as a virtual machine in private enterprise compute clouds. At last, this allows data warehousing to gain the benefits that virtualization, consolidation and cloud computing bring, including easier management, high availability, datacenter energy savings and faster deployment of solutions to the business
Features & Benefits
Built for Virtualization
Vertica is the only analytic database with the following innovations, which enable it to manage terabytes of data faster and more reliably within virtualized private cloud environments:
“Scale-out” MPP architecture – Increase scale by adding Vertica instances to the cluster
VMware integration – Platform independence and centralized admin & deployment
All nodes created equal – No specialized nodes-simplifies deployment and eliminates single points of failure
Columnar storage format – Blazing query speed and minimizes I/O
Aggressive data compression – lowers storage costs and minimizes I/O
Built-in HA – automatic replication, failover and recovery
Priced for virtualization – Based on data volume, not # of CPUs—scale without paying a “DBMS tax”
How it Works
The Vertica Virtualized edition combines a full-featured version of the Vertica Analytic Database with VMware’s Hypervisor virtualization platform and an optimized self-contained Linux operating system. It is a simple-to-deploy, self-contained software package that runs on any VMware-supported hardware. Using VMware deployment tools, you install any number of Vertica "virtual appliances," and then provide any one of the instances with a list of the IP addresses of the others, and Vertica will automatically unite them into a cluster. A virtualized Vertica cluster can use direct-attached (DAS) or network-attached storage (SAN).
Pricing
Free
Tags & Keywords
Database, datawarehouse, dbms, business intelligence
Solution Categories
Information and Data Management, Applications Infrastructure
