Top companies trust Datastreamer to integrate, enrich, join, and apply their web data needs.
How Datastreamer works
Quickly connect Gemini Translate and Azure Blob Storage with a Datstreamer Pipeline.
Quickly connect Gemini Translate and Azure Blob Storage with a Datstreamer Pipeline.
Web data is the starting point for any pipeline. You can use any number of data sources to power your Pipelines. You can use web data from our partner network, your own systems, or any web data.
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.
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.
Direct data ingestion from Azure blog storage into your pipeline.
Add Datastreamer components to your data stack and explore its full capabilities
