KwikQuery put TabbyDB to the test and measured what happens when Spark's planning and execution bottlenecks are addressed at the engine level.

KwikQuery is a performance-driven data infrastructure company focused on revolutionizing large-scale data processing. Our flagship product, TabbyDB, is a high-speed, Spark-compatible SQL engine that drastically improves query compilation and runtime efficiency—without requiring any changes to existing pipelines. Built for teams running complex Spark workloads, TabbyDB enables faster insights, reduced compute costs, and more resilient data pipelines across industries like finance, e-commerce, and AI/ML. What We Offer: - Up to 28% faster execution in enterprise-scale Spark SQL benchmarks - Compile-time optimizations: constraint propagation, query tree collapsing - Runtime enhancements: dynamic filtering, broadcast join tuning - Full compatibility with Spark’s DataFrame API and SQL syntax Ideal For: - Complex ETL pipelines - Interactive dashboards & ad-hoc analytics - Feature engineering workflows for machine learning - Cloud cost optimization on big data platforms Mission: To empower data teams with faster, smarter, and more efficient analytics—by building seamless enhancements to the tools they already use.