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VoltDB for Network Services
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Quality-of-Service Monitoring. Service providers must monitor network traffic in real-time to ensure that performance consistently meets customer SLAs. Load monitors must be capable if detecting surges and rebalancing traffic across the infrastructure. |
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| VoltDB delivers the raw throughput needed to capture and analyze millions of network messages per second. Unlike streaming technologies, VoltDB allows data to be stored and managed statefully, providing a platform for rich real-time analysis. VoltDB is uniquely suited to drive monitoring dashboards, alerting systems and traffic load balancers. |
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Network Security. Backbone routers can be configured to export traffic flow sample data to designated collectors for downstream analysis. To be useful for detecting and mitigating large scale DDoS attacks, traffic data must be collected and sampled at extremely high throughput. |
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| VoltDB is the ideal foundation for performance-sensitive network security applications. It allows traffic data to be collected and analyzed in real-time, delivering database throughput up to millions of operations per second at single-millisecond latencies. Importantly, VoltDB’s in-memory storage and relational query architecture allow security applications to accurately identify and mitigate attacks while minimizing the probability of false alerts. |
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Mobile Telephony Fraud Detection. Fraud threatens mobile operators’ reputations, budgets and competitive positions. Fraud detection and response must be fast and accurate. Operators must be able to compare historical data to current usage to create an accurate profile and quickly identify potential risks. Accounting for changes in subscriber location patterns further complicates the task of accurately detecting abuse. |
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| VoltDB allows operators to collect real-time data from mobile switches and combine it with historical information to create unique subscriber profiles. VoltDB’s materialized views can track and aggregate subscriber usage in real-time, and standard SQL queries can easily explore this data for potential anomalies that drive associated responses. Further, VoltDB’s relational model makes it easy to support mobile exchange initiatives such as the GSMA’s Near Real-Time Roaming Data Exchange (NRTRDE). |
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| Follow the steps below for a quick introduction to VoltDB. If you'd prefer to jump directly to our main downloads page, you'll find a complete list of downloadable resources here. |
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Read the VoltDB Technical Overview
This white paper covers VoltDB architectural concepts, identifies popular use cases and positions VoltDB within the broader database landscape. It’s provides a great introduction to VoltDB.
Schedule a technical briefing
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