Top companies trust Datastreamer to integrate, enrich, join, and apply their web data needs.
Application of customer ChatGPT prompts to pipeline data.
Scan your Azure blob storage based on criteria for pipeline triggering.
How Datastreamer works
Quickly apply ChatGPT Prompts to Azure Storage Scanner with a Datstreamer Pipeline.
Enterprise-grade data pipelines begin with flexible data ingestion. Web data—sourced from partners, internal platforms, or the open internet—provides the raw inputs needed for integration and transformation.
To accelerate using your web data, you can apply any number of operations to the data. Enrich, augment, join, structure, filter, storage, search, or more! Datastreamer has hundreds of plug-and-play operations that you can apply.
With Datastreamer it’s never been easier to use web data. You can dynamically expand your Pipelines with more capabilities, and you’ve now been able to solve your operational bottlenecks in working with web data.
Add Datastreamer components to your data stack and explore its full capabilities
