Powering Customer-Facing Dashboards at Scale Using Rockset with PostgreSQL at DataBrain
公司规模
Startup
地区
- America
国家
- United States
产品
- Rockset
- PostgreSQL
- Amazon RDS
- Amazon S3
技术栈
- Serverless Architecture
- SQL
- Data Lake
实施规模
- Enterprise-wide Deployment
影响指标
- Cost Savings
- Customer Satisfaction
- Productivity Improvements
技术
- 分析与建模 - 实时分析
- 平台即服务 (PaaS) - 数据管理平台
- 应用基础设施与中间件 - 数据交换与集成
适用行业
- Software
- Professional Service
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
- 系统集成
关于客户
DataBrain is a SaaS company that provides go-to-market teams with data-driven insights about the health of their accounts by leveraging real-time customer data. By connecting to a wide range of existing SaaS tools and analyzing the data, DataBrain’s dashboard surfaces recommendations for account teams, allowing them to drill down into data to discover valuable insights. The company focuses on helping GTM teams such as customer success, sales operations, and product teams to focus their time and craft their communication based on real-time account data. DataBrain is described as 'the operating system for GTM teams' by its CEO and founder, Rahul Pattamatta. As a quick, fast-growing company in a competitive space, DataBrain aims to provide the fastest user experience and minimize the time customers take to reach their 'aha moment' in the market.
挑战
DataBrain, a fast-growing SaaS company, faced several challenges with its data stack as it scaled. Initially using PostgreSQL through Amazon RDS for landing and querying customer data, DataBrain encountered high query latency and inefficiencies in handling large volumes of data. The dynamic schema of incoming customer data further complicated the process, requiring significant effort to manage schema changes. Additionally, DataBrain needed to accelerate customer time-to-value by providing fast, actionable insights without requiring extensive setup or engineering support.
解决方案
To address its challenges, DataBrain adopted Rockset, a serverless data platform, to enhance its data processing capabilities. Rockset's native integration with PostgreSQL allowed DataBrain to sync desired datasets instantly and automatically, preparing the data for queries in seconds. This integration enabled DataBrain to offload a significant portion of its data from PostgreSQL to an S3 data lake, optimizing storage costs. Rockset's support for schemaless ingestion of semi-structured data eliminated the need for complex ETL pipelines, allowing DataBrain to manage dynamic schemas more efficiently. Additionally, Rockset's Converged Index technology provided fast query results, enabling DataBrain to deliver real-time insights to its customers. This solution allowed DataBrain to scale its operations, improve performance, and maintain a competitive edge in the market.
运营影响
数量效益
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