How Similarweb uses Firebolt to deliver sub-second analytics over more than 1 trillion rows
公司规模
Large Corporate
国家
- United States
产品
- Firebolt
- AWS
- DynamoDB
- Databricks
- Airflow
技术栈
- Spark
- AWS
- Databricks
- Airflow
实施规模
- Enterprise-wide Deployment
影响指标
- Cost Savings
- Productivity Improvements
技术
- 分析与建模 - 预测分析
- 平台即服务 (PaaS) - 数据管理平台
适用行业
- Software
- Professional Service
适用功能
- 商业运营
服务
- 软件设计与工程服务
- 系统集成
关于客户
Similarweb is a leading big data company that provides comprehensive web analytics services. It collects vast amounts of web-related data to help marketers, brands, and salespeople understand how audiences interact with websites. Similarweb's platform allows users to track keyword searches, website traffic, and user behavior across various websites. The company aims to deliver a seamless user experience by enabling users to analyze, slice, and dice data to gain insights. With a focus on delivering analytics-rich experiences, Similarweb ingests 5TB of new data daily and manages a dataset of approximately 1 petabyte. The company's operations are primarily based on AWS, utilizing tools like Spark, Databricks, and Airflow for data processing and orchestration.
挑战
Similarweb faced significant challenges in delivering fast and efficient analytics over massive data volumes. The company needed to enable users to analyze segments within larger websites, such as comparing FootLocker.com traffic with Amazon.com shoe searches. The dynamic input from users required handling an exponential number of combinations, making pre-processing unfeasible. Additionally, the existing solutions like Athena and DynamoDB were not fast enough or lacked SQL support for dynamic grouping. The challenge was further compounded by the need to scan large data volumes, such as 150GB of data generated daily by Amazon, and the requirement to analyze up to two years' worth of data.
解决方案
To address the challenges, Similarweb evaluated several solutions and ultimately selected Firebolt for its superior performance and cost-effectiveness. Firebolt's ability to handle raw data without additional pre-processing and deliver sub-second query performance was a key factor in the decision. The decoupling of storage and compute in Firebolt allowed Similarweb to isolate workloads and ensure consistently fast query responses. This enabled the company to develop new features without impacting the production experience. Firebolt's REST APIs and integration with Airflow facilitated seamless orchestration in production. The solution allowed Similarweb to deliver dynamic querying capabilities and enhance user experience by providing fast and predictable analytics.
运营影响
数量效益
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