Top companies trust Datastreamer to integrate, enrich, join, and apply their web data needs.
Drug terms, street slang, gaming slang, and other forms of slang can be translated into plain English with this LLM-powered model. This classifier can instantly consume the content within a pipeline, optimize the content for speed and cost efficiency, and pass into LLM systems. Within the classifier, the LLM response is restructured, the post is augmented with the new metadata, and continues in the pipeline.
Extract Reddit comments using URLs with historical timeline filtering.
How Datastreamer works
Quickly apply Datastreamer Slang Translation to Reddit Comments with a Datstreamer Pipeline.
Scalable data integration in the enterprise depends on ingesting heterogeneous web data sources. These include data from internal systems, ecosystem partners, and the broader web.
Datastreamer puts data control in your hands. Apply hundreds of operations—filter, enrich, structure, join, and beyond—to unlock the full value of your web data.
Empower your data team with Datastreamer. Expand your web data Pipelines effortlessly and clear the operational hurdles that once limited your efficiency.
Add Datastreamer components to your data stack and explore its full capabilities
