Top companies trust Datastreamer to integrate, enrich, join, and apply their web data needs.
Movies, songs, memes, books, and other cultural references can be detected with this LLM-powered model in over 200+ languages. 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.
Collect and extract Facebook posts and profiles using hashtags and keywords. Data365 offers advanced capabilities for collecting Facebook data, helping you understand and popular themes, monitor emerging trends, and even identify potential threats.
How Datastreamer works
Quickly apply Datastreamer Cultural Reference Recognition Model to Data365 Facebook data with a Datstreamer Pipeline.
Web data is a critical input for enterprise data integration pipelines. Organizations can ingest data from multiple sources—including our partner network, internal enterprise systems, and publicly available web data—to create a unified, scalable data infrastructure.
Datastreamer lets you accelerate your data usage by applying operations like structuring, enriching, joining, and filtering—choose from hundreds of prebuilt, plug-and-play options.
Supercharge your data workflows with Datastreamer. Add flexibility to your Pipelines and put an end to the common bottlenecks in handling web data.
Add Datastreamer components to your data stack and explore its full capabilities
