Striim’s Free Text Files connector enables continuous ingestion of unstructured and semi-structured text data from file systems into your analytics platforms. The connector monitors directories for new files, parses various text formats including logs, CSVs, and JSON, and streams the data to destinations like Snowflake, BigQuery, and Databricks. This allows organizations to analyze application logs, sensor readings, and transaction records as they’re generated.
The connector uses file monitoring and streaming ingestion to capture data from text files the moment they’re created or modified. Whether you’re processing web server logs, IoT device outputs, or batch export files, Striim delivers this data with sub-second latency while handling complex parsing rules and data transformations in-flight.
Build Your Ideal Configuration
Power real-time analytics on log data, transaction files, and unstructured text with Striim’s automated streaming pipelines. Move from batch processing to continuous intelligence with sub-second latency and built-in data quality monitoring.
