Here is a 200-250 word comparison of the two open-source projects for senior engineers: A comparison of dbt-labs/dbt-core and risingwavelabs/risingwave reveals distinct profiles in terms of momentum, community size, and use cases. dbt-core, with 12,539 stars and a modest 10 stars gained over the last 30 days, indicates a well-established project with a slower, mature growth pace. This suggests a large, albeit not rapidly expanding, community, likely comprising data analysts and engineers leveraging its capabilities for data transformation using software development practices. In contrast, risingwave, with 8,873 stars and a notable 90 stars acquired in the last 30 days, demonstrates a surge in momentum, pointing to a rapidly growing community interested in real-time stream processing, low-latency serving, and Iceberg table management. The significant recent star gain suggests risingwave is currently attracting more new attention and potentially broader adoption in the realm of streaming data platforms. Use cases diverge sharply: dbt-core is suited for data transformation and analytics workflows, appealing to data engineers and analysts focused on batch processing and data warehousing. Risingwave, on the other hand, caters to the needs of engineers dealing with real-time data streams, low-latency applications, and modern table management needs, aligning with the requirements of streaming and real-time analytics applications.