The observability space continues to evolve as enterprises face the growing challenge of handling massive volumes of log and event data. Storing data cost-effectively while still keeping it immediately available for analytics has long been the “holy grail” for operations, security, and business intelligence teams. Today, Hydrolix, a company specializing in high-density storage and real-time queries, has announced a new Apache Spark connector for its streaming data lake today. Set to work seamlessly with Databricks, the connector promises “split-second” queries of full-fidelity event data that spans both real-time and historical logs.