Rill provides a high-performance, AI-native business intelligence platform that operates on a BI-as-code paradigm. It features an embedded in-memory database for millisecond query response times, enabling rapid data exploration and visualization. The platform supports last-mile ETL via SQL and integrates Git workflows for development and deployment.
Funding
$16.6M raised to dateRaised to date based on public sources. This may differ from the amount the company actually raised and is based only on what is publicly available on the internet.
Founders
Product
Problem
Traditional business intelligence (BI) tools often suffer from slow query speeds, hindering real-time data exploration and analysis. This latency forces data teams to handle numerous ad hoc data requests, diverting resources from strategic initiatives and delaying critical business decisions. Existing BI solutions also lack the flexibility to easily integrate and transform data from diverse sources, creating bottlenecks in the data pipeline.
Solution
Rill provides an operational BI platform that combines an embedded in-memory database with last-mile ETL capabilities, enabling data teams to build interactive dashboards with instant query responses. By co-locating data and compute, Rill eliminates the performance bottlenecks associated with traditional BI architectures. The platform allows users to join, transform, and aggregate data from various sources using SQL, streamlining the data preparation process. Rill's architecture reduces reliance on cloud data warehouses, potentially lowering infrastructure costs. The platform also embraces a BI-as-code approach, allowing developers to manage dashboards using Git workflows for version control and collaboration.
Target Audience
Rill is designed for data teams and business analysts who require fast, interactive dashboards for operational and exploratory business intelligence.
Features
- Embedded in-memory database for millisecond query response times
- Last-mile ETL capabilities using SQL for data transformation and aggregation
- Automated visualization generation based on defined metrics
- Git-based workflows for version control and collaborative dashboard development
- Integration with various data sources
- Interactive dashboards for exploratory data analysis