Top companies trust Datastreamer to integrate, enrich, join, and apply their web data needs.
Collect and extract comments, video metadata and user profiles on Poal.
Perform Gemini (LLM) model to translate any field from a given document to a specified target language. To check the list of language coverage and their ISO 3166-1 code format, please check the full documentation.
How Datastreamer works
Quickly enrich Open Measures Poal with Gemini Translate with a Datstreamer Pipeline.
To support enterprise-scale data integration, pipelines must ingest web data from varied origins, including trusted partners, internal databases, and external web-based assets.
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
