Top companies trust Datastreamer to integrate, enrich, join, and apply their web data needs.
Cover thousands of review in multiple languages from all over the globe, Webz Reviews dataset lets your machine listen to evert reviewer, everywhere.
The Custom Function component allows you to write Python functions to manipulate and transform documents within your pipeline. This flexibility enables you to perform a wide range of tasks, from simple data cleaning to merge documents. Whether you're filtering documents, enriching data, or transforming formats, the Custom Function component empowers you to customize your pipeline to meet your specific needs.
How Datastreamer works
Quickly enrich Webz Reviews with Cloud Run Functions 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.
Supercharge your data pipeline! Apply operations like enrichment, structuring, joining, and filtering—Datastreamer gives you instant access to hundreds of plug-and-play data tools.
Say goodbye to bottlenecks. Datastreamer lets you unlock the full power of web data by giving you the tools to dynamically grow your Pipelines.
Add Datastreamer components to your data stack and explore its full capabilities
