This white paper explains how modern indexing technologies can be applied to chemical data management to enable cloud-scale scientific search and analytics. Traditional relational databases struggle with scalability and cost in cloud environments, while indexing systems excel at fast, distributed search but historically lacked support for complex scientific queries. Revvity Signals introduces a hybrid indexing approach that enables chemical structure search, quantitative property filtering, and formulation-performance correlation within a single scalable query. Using patent-pending algorithms built on open-source technologies like Elastic Search and Spark, Signals Research Suite delivers near–real-time structure and property search without costly ETL pipelines. The paper positions this app

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