Introducing Rill Data's BigQuery Connector

Apache Druid, an open-source tool designed for real-time analytics, lacks a native connector for BigQuery, a highly scalable data warehouse that excels in storage and modeling but not in sub-second data access. Rill's managed cloud service bridges this gap by allowing seamless integration between Druid and BigQuery, enabling businesses to leverage both platforms for optimal data processing and analysis. With Rill's BigQuery connector, users can easily ingest data from BigQuery into Druid, facilitating scenarios such as keeping recent data in Druid for rapid access while using BigQuery for periodic reporting. Rill's autoscaling feature ensures fast and efficient data ingestion, scaling resources as needed to handle large datasets without the need for extensive DevOps involvement, often reducing ingestion times to under 30 minutes for terabyte-sized data. Rill aims to integrate with all standard analytics tools, allowing companies to analyze data efficiently while providing support for setting up the integration and fast data analysis tailored to business needs.