The SingleStore Spark Connector is a high-throughput, bi-directional data transfer tool that enables the combination of Apache Spark's powerful analytics capabilities with transactional systems-of-record. By linking Spark to real-time databases like SingleStore, developers can tap into new business use cases such as operationalizing models built in Spark, stream and event processing, extending SingleStore Analytics, and creating live dashboards and automated reports. The SingleStore Spark Connector architecture consists of two main components: a class for loading data from SingleStore queries and a function for persisting results to SingleStore tables. This connection enables cluster-wide parallelization for maximum performance and minimal transfer time, making it an attractive solution for today's Big Data and high-velocity environments.