SingleStore has introduced automatic schema and pipeline DDL inference, simplifying the initial setup process for customers to quickly leverage their data and reduce time to insights.` This automation enables developers to accelerate setup times for new databases, minimize errors, and tailor schema and pipeline setups, enhancing developer productivity. The input_configuration may be a configuration for loading from Apache Kafka, Amazon S3, a local filesystem, Microsoft Azure, HDFS, and Google Cloud Storage. Users can choose to review, modify, and apply the suggestions provided by schema inference in SingleStore. The new functionality involves simple commands that enable users to connect to data files and generate schema definitions. Schema detection is just the beginning of SingleStore's investments to developer productivity and simplifying data ingestion problems, with plans for expanded support for additional file types like JSON and Parquet.