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
- Firebolt
- MySQL
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
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. The company specializes in using big data and machine learning to enhance app growth for developers. Bigabid's platform processes vast amounts of data and connects with multiple ad suppliers and exchanges in near real-time, providing clients with insights into app performance. This enables clients to target specific audiences, increase app usage, and optimize advertising spend. Bigabid's business intelligence platform analyzes various metrics such as impressions, ad clicks, app installs, and in-app purchases. The company also has an internal data analysis platform used by developers and campaign managers to continuously optimize performance. Bigabid's infrastructure is built on AWS, utilizing services like Amazon S3 for data lakes and Amazon EC2 for compute capacity. The company chose AWS for its reliability and diverse range of managed services, which simplify data efforts across the organization.
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 some processes taking days to complete. Additionally, they struggled to access data older than three months due to heavy data aggregations, which hindered their ability to perform seasonal or year-to-year comparisons. Bigabid aimed to analyze data for a million ad auctions every second and manage data lakes containing hundreds of terabytes in near real-time. This required accessing tables with billions of rows to create hundreds of live dashboards. To address these challenges, Bigabid needed to build a high-performance big data infrastructure and merge its 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. The company evaluated several high-performance database options and chose AWS Partner Firebolt for its impressive capabilities. Firebolt significantly improved Bigabid's BI efforts, allowing the company to analyze a test dataset of 100 million records in seconds, compared to minutes with other databases. In August 2022, Bigabid adopted Firebolt's analytics, integrating it with its existing Amazon S3 data lake and merging its BI and analytics systems. By early 2023, Bigabid had completed its migration project, optimized its systems, and built new dashboards. The integration with Firebolt and AWS allowed Bigabid to query a database containing 30 billion records and receive results in a second. The migration also solved the challenge of analyzing older data, enabling real-time data delivery to dashboards without limitations on data age. Bigabid now has a single BI dashboard that provides real-time business insights and can be customized quickly. The company expects to further optimize its platform and gain a better understanding of increasing data volumes as it continues to grow.
运营影响
数量效益
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