As a developer tools analyst, here is a comparison of Apache Doris and Apache Spark for senior engineers: Apache Doris and Apache Spark are two distinct open-source projects under the Apache umbrella, catering to different yet complementary needs in the data processing and analytics landscape. In terms of momentum, Apache Spark, with 43,039 stars and a recent surge of 188 stars in the last 30 days, indicates a broader and more active community engagement compared to Apache Doris, which stands at 15,154 stars with a 127-star increase over the same period. This suggests Spark's community is not only larger but also currently more dynamic. The community size, as inferred from star counts, also favors Spark, reflecting its longer market presence and versatility across various data processing tasks. Doris, however, is gaining traction, particularly among those seeking a unified analytics database with ease of use and high performance. Use cases diverge significantly: Apache Spark is a unified analytics engine designed for large-scale data processing, accommodating batch processing, interactive queries, streaming, and machine learning, making it a Swiss Army knife for diverse data workloads. In contrast, Apache Doris is positioned as a unified analytics database, emphasizing ease of use, high performance, and real-time analytics capabilities, suited for scenarios requiring efficient query processing on structured data. Both projects serve critical roles in the data ecosystem, with Spark catering to a broader range of data processing needs and Doris focusing on high-performance analytics database requirements.