Vertica telco customers use the Vertica Analytic Database to: Query years of data at any detail level Examine network and call data in real-time to improve quality of service Eliminate inter-carrier revenue leakage Make more profitable call routing and infrastructure build-out decisions Reduce customer churn Identify fraud Vertica opened doors to analyses that otherwise were either too time-intensive or impossible. A larger team of business managers now have faster, easier access to more information. That knowledge is invaluable in an aggressively competitive market like ours.” —Brian Harvell, senior director for network operations, Comcast

Vertica Analytic Database performance has been benchmarked in a wide variety of telecommunications customer settings. The following tables contain benchmark results from some of those tests. If you would like to evaluate Vertica yourself, please request a free evaluation.

Large Asia-Pac Telecom - Call Detail Record (CDR) Analysis Benchmark

Notes: Running on a single server costing less than $10,000 (USD), Vertica out-performed this company's existing CDR database platform by a factor of 40x. As they add servers to the Vertica cluster, performance will scale linearly due to Vertica's shared-nothing column architecture.

US-based Telecom Carrier - Call Detail Record (CDR) Analysis Benchmark

Notes: Vertica out-performed the existing CDR data management platform by a large factor and now enables this company to keep months of CDR data on-line for analysis rather than just days. Regarding the bulk load performance, Vertica typically outperforms other databases by a factor of 2x to 3x. In this case, however, the load process in the existing system spent a lot of time aggregating summary data; a process Vertica makes obsolete due to its ability to store and rapidly query data at the lowest level of granularity.

US-based Telecom - Call Detail Record (CDR) Analysis Benchmark

Notes: This benchmark shows the scalability advantages of Vertica's shared-nothing architecture. Increasing the number of CPU cores by a factor of 8 (from 1 server with 4 cores to 4 servers with a combined 32 cores) resulted in just over an 8x increase in Vertica performance yielding an overall 206x improvement over the original row-based DBMS system. This advantage enables people to increase the volume of CDR data available for analysis from weeks to years and also increase the number of people analyzing it without expensive "rip and replace" hardware upgrades.

 

Webcasts:

NetworkIP - Dialing Up New Analytic Capabilities with Vertica

Gartner Analyst Don Feinberg & Vertica CTO Mike Stonebraker on Analytic Databases

Benefits of Compression in Column Databases featuring Dr. Sam Madden of MIT

Alternative DBMS Architectures for BI, featuring Boris Evelson of Forrester Research

Downloads

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