Bigabid Slashes Latency and Boosts Query Performance 400x Using AWS and Firebolt
公司规模
Mid-size Company
地区
- Middle East
国家
- Israel
产品
- Amazon Simple Storage Solution (Amazon S3)
- Amazon Elastic Compute Cloud (Amazon EC2)
- Firebolt
技术栈
- AWS
- SQL Databases
- Machine Learning
实施规模
- Enterprise-wide Deployment
影响指标
- Productivity Improvements
- Cost Savings
- Digital Expertise
技术
- 分析与建模 - 大数据分析
- 分析与建模 - 实时分析
- 平台即服务 (PaaS) - 数据管理平台
适用行业
- Software
适用功能
- 商业运营
- 产品研发
用例
- 实时定位系统 (RTLS)
服务
- 云规划/设计/实施服务
- 系统集成
关于客户
Bigabid is a digital advertising technology company based in Israel, founded in 2016. It specializes in using big data and machine learning to enhance app growth for developers by optimizing advertising spend. The company processes vast amounts of data, connecting with multiple ad suppliers and exchanges in near real-time to provide clients with insights into app performance. Bigabid's platform allows clients to target specific audiences, increasing app usage and optimizing advertising spend. The company's business intelligence platform analyzes app usage, measuring impressions, ad clicks, app installs, and in-app purchases. Bigabid's infrastructure is built on AWS, utilizing Amazon S3 for data lakes and Amazon EC2 for compute capacity.
挑战
Bigabid's analytical databases, originally based on MySQL, were not meeting the performance requirements needed for their operations. The company faced significant delays in generating data insights, with processes taking days and struggling to access data older than three months. This limitation hindered their ability to compare results seasonally or year-to-year. Bigabid aimed to analyze data for a million ad auctions every second and manage data lakes with hundreds of terabytes in near real-time. They needed a high-performance database to merge their internal BI and data analysis platforms into a central data platform.
解决方案
To address its performance challenges, Bigabid embarked on a project to build a high-performance big data infrastructure. They evaluated several high-performance database options and chose AWS Partner Firebolt for its impressive capabilities. Firebolt's analytics, integrated with Bigabid's existing Amazon S3 data lake, allowed the company to merge its BI and analytics systems. By the start of 2023, Bigabid had completed its migration project, optimizing its systems and building new dashboards. Firebolt's compression system reduced storage needs, and the company could now query a database containing 30 billion records and receive results in a second. This integration allowed Bigabid to analyze data for seasonal and year-on-year changes, providing valuable business insights.
运营影响
数量效益
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