The heaviest and longest workloads require a reliable and consistent engine for processing long-running queries like ELT in a cost-effective and highly performant manner. Starburst provides the scale, flexibility, and performance to enable you to build, enhance, and streamline your most critical analytics workloads, using the language you already know, SQL. We enable you to perform efficient and fault-tolerant query processing with access to 50+ data sources including modern and legacy enterprise sources.
Starburst is the engine of choice for ELT data processing.
ETL/ELT can be a complex and time consuming process. Data engineers often rely on advanced languages like Python, and Scala. In addition, traditional ETL tools do not provide much insight into why a query fails, leading to a burdensome process in a bottlenecked data organization. These problems strain data teams as data volumes grow and the number of new inquiries increase.
Open source Trino and Starburst include capabilities to support the engine’s reliability when performing complex data processing tasks like ELT. This includes the ability to configure a cluster to perform granular retries at the task or query level. We provide you with the details on any error to help you avoid future mistakes. There’s no new skills required. Starburst runs on a fully ANSI SQL compliant engine, allowing more people access to more data, securely, of course.
Up to $500 in usage credits included