Bigabid Slashes Latency and Boosts Query Performance 400x Using AWS and Firebolt
Customer Company Size
Mid-size Company
Region
- Middle East
Country
- Israel
Product
- Amazon Simple Storage Solution (Amazon S3)
- Amazon Elastic Compute Cloud (Amazon EC2)
- Firebolt
Tech Stack
- AWS
- SQL Databases
- Machine Learning
Implementation Scale
- Enterprise-wide Deployment
Impact Metrics
- Productivity Improvements
- Cost Savings
- Digital Expertise
Technology Category
- Analytics & Modeling - Big Data Analytics
- Analytics & Modeling - Real Time Analytics
- Platform as a Service (PaaS) - Data Management Platforms
Applicable Industries
- Software
Applicable Functions
- Business Operation
- Product Research & Development
Use Cases
- Real-Time Location System (RTLS)
Services
- Cloud Planning, Design & Implementation Services
- System Integration
About The Customer
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.
The Challenge
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.
The Solution
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.
Operational Impact
Quantitative Benefit
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