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Contextin Powers 10 Billion Real-Time Pricing Decisions Per Day Using the Aerospike NoSQL Database and Key-Value Store
技术
- 分析与建模 - 预测分析
- 应用基础设施与中间件 - 数据交换与集成
- 基础设施即服务 (IaaS) - 云数据库
适用行业
- Software
适用功能
- 商业运营
- 销售与市场营销
用例
- 实时定位系统 (RTLS)
服务
- 云规划/设计/实施服务
- 数据科学服务
- 系统集成
挑战
Contextin’s unique algorithmic approach to campaign performance optimization works by analyzing hundreds of granular variables—including page characteristics, user engagement data, and semantics—on an impression-by-impression basis and then extrapolating its learning for each campaign within the context of the specific performance and budget parameters. This enables Contextin to assess bid price and identify the type of impression most likely to get results. With massive sets of proprietary data at the core of Contextin’s platform, the company recognized the need for a powerful NoSQL database that could manage and process vast sets of information without slowing RTB response times. To support its early production platform, Contextin integrated an open source distributed database to which the company was contributing code. However, as its business grew, Contextin began to evaluate NoSQL database options that would offer greater performance. Query time and availability became the stumbling blocks for many of the NoSQL databases evaluated. While many of these solutions were capable of working with significant amounts of data, few were equipped to consistently provide the millisecond response times required in the online advertising industry.
关于客户
Contextin is a performance advertising platform that aims to change the rules of conventional demand-side platforms by relying on an automated discovery engine. Unlike traditional platforms that depend on pre-determined audience criteria, Contextin's technology delves deeper into hundreds of attributes to find granular signals that influence performance. This approach allows Contextin to dynamically infer data correlations among non-traditional attributes on an impression-by-impression basis, using real-time bidding (RTB) to price and buy placements accordingly. The result is dramatically higher ad performance, optimized costs per mille, action, or click, and the ability to capture previously untapped audiences. Contextin's platform uses complex algorithms and pattern recognition to analyze more than 10 billion ad impressions daily, ensuring 100% availability and real-time delivery of data through the Aerospike NoSQL database.
解决方案
Contextin became aware of the Aerospike real-time NoSQL database and decided to conduct a proof of concept to evaluate Aerospike’s performance. The company saw the results it needed. Aerospike demonstrated sub-millisecond latency and the ability to process queries consistently within 5 milliseconds. Moreover, it was able to horizontally scale to 100,000 QPS per each server in the cluster. Finally, as Aerospike processed large volumes of data, it did not slow or stall, thereby ensuring 100% availability. Further cementing Contextin’s decision were Aerospike’s cross data center replication functionality and responsive, knowledgeable technical support. Following the proof of concept and decision to adopt Aerospike, Contextin was able to move into full production in less than two months. Contextin now has an Aerospike database with cross data center replication deployed in each of four data centers: two on the East Coast, one on the West Coast, and another in Europe. Contextin uses the Aerospike database to respond to queries by combining real-time data with information from the other data management and business intelligence systems it has deployed. These include terabytes of unduplicated data stored in its Apache Hadoop distributed file system, MySQL relational database management system, and Qlikview data analysis platform. Aerospike’s ability to conduct read and write transactions within 5 milliseconds helps Contextin power more than 10 billion pricing decisions per day. In addition to providing reliable real-time performance, the Aerospike database automatically manages itself, minimizing the demands on Contextin’s IT team. Currently, one internal IT administrator is able to easily manage all of the company’s Aerospike deployments. Equally important is the technical support Contextin receives from Aerospike.
运营影响
数量效益
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